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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.4.0 published on Wednesday, May 7, 2025 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.BatchDeployment

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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.4.0 published on Wednesday, May 7, 2025 by Pulumi
pulumi/pulumi-azure-native

    Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01.

    Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2022-05-01, 2022-06-01-preview, 2022-10-01, 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the version guide for details.

    Import

    An existing resource can be imported using its type token, name, and identifier, e.g.

    $ pulumi import azure-native:machinelearningservices:BatchDeployment string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}/deployments/{deploymentName}

    Create BatchDeployment Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new BatchDeployment(name: string, args: BatchDeploymentArgs, opts?: CustomResourceOptions);
    @overload
def BatchDeployment(resource_name: str,
                    args: BatchDeploymentInitArgs,
                    opts: Optional[ResourceOptions] = None)

@overload
def BatchDeployment(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    batch_deployment_properties: Optional[BatchDeploymentArgs] = None,
                    endpoint_name: Optional[str] = None,
                    resource_group_name: Optional[str] = None,
                    workspace_name: Optional[str] = None,
                    deployment_name: Optional[str] = None,
                    identity: Optional[ManagedServiceIdentityArgs] = None,
                    kind: Optional[str] = None,
                    location: Optional[str] = None,
                    sku: Optional[SkuArgs] = None,
                    tags: Optional[Mapping[str, str]] = None)
    func NewBatchDeployment(ctx *Context, name string, args BatchDeploymentArgs, opts ...ResourceOption) (*BatchDeployment, error)
    public BatchDeployment(string name, BatchDeploymentArgs args, CustomResourceOptions? opts = null)
    public BatchDeployment(String name, BatchDeploymentArgs args)
public BatchDeployment(String name, BatchDeploymentArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:BatchDeployment
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args BatchDeploymentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args BatchDeploymentInitArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args BatchDeploymentArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args BatchDeploymentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args BatchDeploymentArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var batchDeploymentResource = new AzureNative.MachineLearningServices.BatchDeployment("batchDeploymentResource", new()
{
    BatchDeploymentProperties = new AzureNative.MachineLearningServices.Inputs.BatchDeploymentArgs
    {
        CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
        {
            ScoringScript = "string",
            CodeId = "string",
        },
        Compute = "string",
        DeploymentConfiguration = new AzureNative.MachineLearningServices.Inputs.BatchPipelineComponentDeploymentConfigurationArgs
        {
            DeploymentConfigurationType = "PipelineComponent",
            ComponentId = new AzureNative.MachineLearningServices.Inputs.IdAssetReferenceArgs
            {
                AssetId = "string",
                ReferenceType = "Id",
            },
            Description = "string",
            Settings = 
            {
                { "string", "string" },
            },
            Tags = 
            {
                { "string", "string" },
            },
        },
        Description = "string",
        EnvironmentId = "string",
        EnvironmentVariables = 
        {
            { "string", "string" },
        },
        ErrorThreshold = 0,
        LoggingLevel = "string",
        MaxConcurrencyPerInstance = 0,
        MiniBatchSize = 0,
        Model = new AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceArgs
        {
            ReferenceType = "DataPath",
            DatastoreId = "string",
            Path = "string",
        },
        OutputAction = "string",
        OutputFileName = "string",
        Properties = 
        {
            { "string", "string" },
        },
        Resources = new AzureNative.MachineLearningServices.Inputs.DeploymentResourceConfigurationArgs
        {
            InstanceCount = 0,
            InstanceType = "string",
            Properties = 
            {
                { "string", "any" },
            },
        },
        RetrySettings = new AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsArgs
        {
            MaxRetries = 0,
            Timeout = "string",
        },
    },
    EndpointName = "string",
    ResourceGroupName = "string",
    WorkspaceName = "string",
    DeploymentName = "string",
    Identity = new AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentityArgs
    {
        Type = "string",
        UserAssignedIdentities = new[]
        {
            "string",
        },
    },
    Kind = "string",
    Location = "string",
    Sku = new AzureNative.MachineLearningServices.Inputs.SkuArgs
    {
        Name = "string",
        Capacity = 0,
        Family = "string",
        Size = "string",
        Tier = AzureNative.MachineLearningServices.SkuTier.Free,
    },
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := machinelearningservices.NewBatchDeployment(ctx, "batchDeploymentResource", &machinelearningservices.BatchDeploymentArgs{
	BatchDeploymentProperties: &machinelearningservices.BatchDeploymentTypeArgs{
		CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
			ScoringScript: pulumi.String("string"),
			CodeId:        pulumi.String("string"),
		},
		Compute: pulumi.String("string"),
		DeploymentConfiguration: &machinelearningservices.BatchPipelineComponentDeploymentConfigurationArgs{
			DeploymentConfigurationType: pulumi.String("PipelineComponent"),
			ComponentId: &machinelearningservices.IdAssetReferenceArgs{
				AssetId:       pulumi.String("string"),
				ReferenceType: pulumi.String("Id"),
			},
			Description: pulumi.String("string"),
			Settings: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
			Tags: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		Description:   pulumi.String("string"),
		EnvironmentId: pulumi.String("string"),
		EnvironmentVariables: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		ErrorThreshold:            pulumi.Int(0),
		LoggingLevel:              pulumi.String("string"),
		MaxConcurrencyPerInstance: pulumi.Int(0),
		MiniBatchSize:             pulumi.Float64(0),
		Model: machinelearningservices.DataPathAssetReference{
			ReferenceType: "DataPath",
			DatastoreId:   "string",
			Path:          "string",
		},
		OutputAction:   pulumi.String("string"),
		OutputFileName: pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		Resources: &machinelearningservices.DeploymentResourceConfigurationArgs{
			InstanceCount: pulumi.Int(0),
			InstanceType:  pulumi.String("string"),
			Properties: pulumi.Map{
				"string": pulumi.Any("any"),
			},
		},
		RetrySettings: &machinelearningservices.BatchRetrySettingsArgs{
			MaxRetries: pulumi.Int(0),
			Timeout:    pulumi.String("string"),
		},
	},
	EndpointName:      pulumi.String("string"),
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	DeploymentName:    pulumi.String("string"),
	Identity: &machinelearningservices.ManagedServiceIdentityArgs{
		Type: pulumi.String("string"),
		UserAssignedIdentities: pulumi.StringArray{
			pulumi.String("string"),
		},
	},
	Kind:     pulumi.String("string"),
	Location: pulumi.String("string"),
	Sku: &machinelearningservices.SkuArgs{
		Name:     pulumi.String("string"),
		Capacity: pulumi.Int(0),
		Family:   pulumi.String("string"),
		Size:     pulumi.String("string"),
		Tier:     machinelearningservices.SkuTierFree,
	},
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})

    var batchDeploymentResource = new BatchDeployment("batchDeploymentResource", BatchDeploymentArgs.builder()
    .batchDeploymentProperties(BatchDeploymentArgs.builder()
        .codeConfiguration(CodeConfigurationArgs.builder()
            .scoringScript("string")
            .codeId("string")
            .build())
        .compute("string")
        .deploymentConfiguration(Map.ofEntries(
            Map.entry("deploymentConfigurationType", "PipelineComponent"),
            Map.entry("componentId", Map.ofEntries(
                Map.entry("assetId", "string"),
                Map.entry("referenceType", "Id")
            )),
            Map.entry("description", "string"),
            Map.entry("settings", Map.of("string", "string")),
            Map.entry("tags", Map.of("string", "string"))
        ))
        .description("string")
        .environmentId("string")
        .environmentVariables(Map.of("string", "string"))
        .errorThreshold(0)
        .loggingLevel("string")
        .maxConcurrencyPerInstance(0)
        .miniBatchSize(0.0)
        .model(DataPathAssetReferenceArgs.builder()
            .referenceType("DataPath")
            .datastoreId("string")
            .path("string")
            .build())
        .outputAction("string")
        .outputFileName("string")
        .properties(Map.of("string", "string"))
        .resources(DeploymentResourceConfigurationArgs.builder()
            .instanceCount(0)
            .instanceType("string")
            .properties(Map.of("string", "any"))
            .build())
        .retrySettings(BatchRetrySettingsArgs.builder()
            .maxRetries(0)
            .timeout("string")
            .build())
        .build())
    .endpointName("string")
    .resourceGroupName("string")
    .workspaceName("string")
    .deploymentName("string")
    .identity(ManagedServiceIdentityArgs.builder()
        .type("string")
        .userAssignedIdentities("string")
        .build())
    .kind("string")
    .location("string")
    .sku(SkuArgs.builder()
        .name("string")
        .capacity(0)
        .family("string")
        .size("string")
        .tier("Free")
        .build())
    .tags(Map.of("string", "string"))
    .build());

    batch_deployment_resource = azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource",
    batch_deployment_properties={
        "code_configuration": {
            "scoring_script": "string",
            "code_id": "string",
        },
        "compute": "string",
        "deployment_configuration": {
            "deployment_configuration_type": "PipelineComponent",
            "component_id": {
                "asset_id": "string",
                "reference_type": "Id",
            },
            "description": "string",
            "settings": {
                "string": "string",
            },
            "tags": {
                "string": "string",
            },
        },
        "description": "string",
        "environment_id": "string",
        "environment_variables": {
            "string": "string",
        },
        "error_threshold": 0,
        "logging_level": "string",
        "max_concurrency_per_instance": 0,
        "mini_batch_size": 0,
        "model": {
            "reference_type": "DataPath",
            "datastore_id": "string",
            "path": "string",
        },
        "output_action": "string",
        "output_file_name": "string",
        "properties": {
            "string": "string",
        },
        "resources": {
            "instance_count": 0,
            "instance_type": "string",
            "properties": {
                "string": "any",
            },
        },
        "retry_settings": {
            "max_retries": 0,
            "timeout": "string",
        },
    },
    endpoint_name="string",
    resource_group_name="string",
    workspace_name="string",
    deployment_name="string",
    identity={
        "type": "string",
        "user_assigned_identities": ["string"],
    },
    kind="string",
    location="string",
    sku={
        "name": "string",
        "capacity": 0,
        "family": "string",
        "size": "string",
        "tier": azure_native.machinelearningservices.SkuTier.FREE,
    },
    tags={
        "string": "string",
    })

    const batchDeploymentResource = new azure_native.machinelearningservices.BatchDeployment("batchDeploymentResource", {
    batchDeploymentProperties: {
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        compute: "string",
        deploymentConfiguration: {
            deploymentConfigurationType: "PipelineComponent",
            componentId: {
                assetId: "string",
                referenceType: "Id",
            },
            description: "string",
            settings: {
                string: "string",
            },
            tags: {
                string: "string",
            },
        },
        description: "string",
        environmentId: "string",
        environmentVariables: {
            string: "string",
        },
        errorThreshold: 0,
        loggingLevel: "string",
        maxConcurrencyPerInstance: 0,
        miniBatchSize: 0,
        model: {
            referenceType: "DataPath",
            datastoreId: "string",
            path: "string",
        },
        outputAction: "string",
        outputFileName: "string",
        properties: {
            string: "string",
        },
        resources: {
            instanceCount: 0,
            instanceType: "string",
            properties: {
                string: "any",
            },
        },
        retrySettings: {
            maxRetries: 0,
            timeout: "string",
        },
    },
    endpointName: "string",
    resourceGroupName: "string",
    workspaceName: "string",
    deploymentName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: ["string"],
    },
    kind: "string",
    location: "string",
    sku: {
        name: "string",
        capacity: 0,
        family: "string",
        size: "string",
        tier: azure_native.machinelearningservices.SkuTier.Free,
    },
    tags: {
        string: "string",
    },
});

    type: azure-native:machinelearningservices:BatchDeployment
properties:
    batchDeploymentProperties:
        codeConfiguration:
            codeId: string
            scoringScript: string
        compute: string
        deploymentConfiguration:
            componentId:
                assetId: string
                referenceType: Id
            deploymentConfigurationType: PipelineComponent
            description: string
            settings:
                string: string
            tags:
                string: string
        description: string
        environmentId: string
        environmentVariables:
            string: string
        errorThreshold: 0
        loggingLevel: string
        maxConcurrencyPerInstance: 0
        miniBatchSize: 0
        model:
            datastoreId: string
            path: string
            referenceType: DataPath
        outputAction: string
        outputFileName: string
        properties:
            string: string
        resources:
            instanceCount: 0
            instanceType: string
            properties:
                string: any
        retrySettings:
            maxRetries: 0
            timeout: string
    deploymentName: string
    endpointName: string
    identity:
        type: string
        userAssignedIdentities:
            - string
    kind: string
    location: string
    resourceGroupName: string
    sku:
        capacity: 0
        family: string
        name: string
        size: string
        tier: Free
    tags:
        string: string
    workspaceName: string

    BatchDeployment Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The BatchDeployment resource accepts the following input properties:

    BatchDeploymentProperties Pulumi.AzureNative.MachineLearningServices.Inputs.BatchDeployment
    [Required] Additional attributes of the entity.
    EndpointName string
    Inference endpoint name
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    DeploymentName string
    The identifier for the Batch inference deployment.
    Identity Pulumi.AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Sku Pulumi.AzureNative.MachineLearningServices.Inputs.Sku
    Sku details required for ARM contract for Autoscaling.
    Tags Dictionary<string, string>
    Resource tags.
    BatchDeploymentProperties BatchDeploymentTypeArgs
    [Required] Additional attributes of the entity.
    EndpointName string
    Inference endpoint name
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    DeploymentName string
    The identifier for the Batch inference deployment.
    Identity ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    Tags map[string]string
    Resource tags.
    batchDeploymentProperties BatchDeployment
    [Required] Additional attributes of the entity.
    endpointName String
    Inference endpoint name
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    deploymentName String
    The identifier for the Batch inference deployment.
    identity ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags Map<String,String>
    Resource tags.
    batchDeploymentProperties BatchDeployment
    [Required] Additional attributes of the entity.
    endpointName string
    Inference endpoint name
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    deploymentName string
    The identifier for the Batch inference deployment.
    identity ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location string
    The geo-location where the resource lives
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags {[key: string]: string}
    Resource tags.
    batch_deployment_properties BatchDeploymentArgs
    [Required] Additional attributes of the entity.
    endpoint_name str
    Inference endpoint name
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    deployment_name str
    The identifier for the Batch inference deployment.
    identity ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    kind str
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location str
    The geo-location where the resource lives
    sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    tags Mapping[str, str]
    Resource tags.
    batchDeploymentProperties Property Map
    [Required] Additional attributes of the entity.
    endpointName String
    Inference endpoint name
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    deploymentName String
    The identifier for the Batch inference deployment.
    identity Property Map
    Managed service identity (system assigned and/or user assigned identities)
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    sku Property Map
    Sku details required for ARM contract for Autoscaling.
    tags Map<String>
    Resource tags.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the BatchDeployment resource produces the following output properties:

    AzureApiVersion string
    The Azure API version of the resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    AzureApiVersion string
    The Azure API version of the resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the resource
    SystemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    azureApiVersion String
    The Azure API version of the resource.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    azureApiVersion string
    The Azure API version of the resource.
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    The name of the resource
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    azure_api_version str
    The Azure API version of the resource.
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    The name of the resource
    system_data SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type str
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    azureApiVersion String
    The Azure API version of the resource.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    The name of the resource
    systemData Property Map
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    BatchDeployment, BatchDeploymentArgs

    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration
    Code configuration for the endpoint deployment.
    Compute string
    Compute target for batch inference operation.
    DeploymentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.BatchPipelineComponentDeploymentConfiguration
    Properties relevant to different deployment types.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    ErrorThreshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    LoggingLevel string | Pulumi.AzureNative.MachineLearningServices.BatchLoggingLevel
    Logging level for batch inference operation.
    MaxConcurrencyPerInstance int
    Indicates maximum number of parallelism per instance.
    MiniBatchSize double
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    OutputAction string | Pulumi.AzureNative.MachineLearningServices.BatchOutputAction
    Indicates how the output will be organized.
    OutputFileName string
    Customized output file name for append_row output action.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    Resources Pulumi.AzureNative.MachineLearningServices.Inputs.DeploymentResourceConfiguration
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettings
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    CodeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    Compute string
    Compute target for batch inference operation.
    DeploymentConfiguration BatchPipelineComponentDeploymentConfiguration
    Properties relevant to different deployment types.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    ErrorThreshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    LoggingLevel string | BatchLoggingLevel
    Logging level for batch inference operation.
    MaxConcurrencyPerInstance int
    Indicates maximum number of parallelism per instance.
    MiniBatchSize float64
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    Model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    OutputAction string | BatchOutputAction
    Indicates how the output will be organized.
    OutputFileName string
    Customized output file name for append_row output action.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    Resources DeploymentResourceConfiguration
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    RetrySettings BatchRetrySettings
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    compute String
    Compute target for batch inference operation.
    deploymentConfiguration BatchPipelineComponentDeploymentConfiguration
    Properties relevant to different deployment types.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    errorThreshold Integer
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel String | BatchLoggingLevel
    Logging level for batch inference operation.
    maxConcurrencyPerInstance Integer
    Indicates maximum number of parallelism per instance.
    miniBatchSize Double
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    outputAction String | BatchOutputAction
    Indicates how the output will be organized.
    outputFileName String
    Customized output file name for append_row output action.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfiguration
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings BatchRetrySettings
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    compute string
    Compute target for batch inference operation.
    deploymentConfiguration BatchPipelineComponentDeploymentConfiguration
    Properties relevant to different deployment types.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    errorThreshold number
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel string | BatchLoggingLevel
    Logging level for batch inference operation.
    maxConcurrencyPerInstance number
    Indicates maximum number of parallelism per instance.
    miniBatchSize number
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    outputAction string | BatchOutputAction
    Indicates how the output will be organized.
    outputFileName string
    Customized output file name for append_row output action.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfiguration
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings BatchRetrySettings
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    code_configuration CodeConfiguration
    Code configuration for the endpoint deployment.
    compute str
    Compute target for batch inference operation.
    deployment_configuration BatchPipelineComponentDeploymentConfiguration
    Properties relevant to different deployment types.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    error_threshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    logging_level str | BatchLoggingLevel
    Logging level for batch inference operation.
    max_concurrency_per_instance int
    Indicates maximum number of parallelism per instance.
    mini_batch_size float
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    output_action str | BatchOutputAction
    Indicates how the output will be organized.
    output_file_name str
    Customized output file name for append_row output action.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfiguration
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retry_settings BatchRetrySettings
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    compute String
    Compute target for batch inference operation.
    deploymentConfiguration Property Map
    Properties relevant to different deployment types.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    errorThreshold Number
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel String | "Info" | "Warning" | "Debug"
    Logging level for batch inference operation.
    maxConcurrencyPerInstance Number
    Indicates maximum number of parallelism per instance.
    miniBatchSize Number
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    outputAction String | "SummaryOnly" | "AppendRow"
    Indicates how the output will be organized.
    outputFileName String
    Customized output file name for append_row output action.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    resources Property Map
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings Property Map
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

    BatchDeploymentResponse, BatchDeploymentResponseArgs

    ProvisioningState string
    Provisioning state for the endpoint deployment.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    Compute string
    Compute target for batch inference operation.
    DeploymentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.BatchPipelineComponentDeploymentConfigurationResponse
    Properties relevant to different deployment types.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    ErrorThreshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    LoggingLevel string
    Logging level for batch inference operation.
    MaxConcurrencyPerInstance int
    Indicates maximum number of parallelism per instance.
    MiniBatchSize double
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    OutputAction string
    Indicates how the output will be organized.
    OutputFileName string
    Customized output file name for append_row output action.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    Resources Pulumi.AzureNative.MachineLearningServices.Inputs.DeploymentResourceConfigurationResponse
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsResponse
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    ProvisioningState string
    Provisioning state for the endpoint deployment.
    CodeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    Compute string
    Compute target for batch inference operation.
    DeploymentConfiguration BatchPipelineComponentDeploymentConfigurationResponse
    Properties relevant to different deployment types.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    ErrorThreshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    LoggingLevel string
    Logging level for batch inference operation.
    MaxConcurrencyPerInstance int
    Indicates maximum number of parallelism per instance.
    MiniBatchSize float64
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    Model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    OutputAction string
    Indicates how the output will be organized.
    OutputFileName string
    Customized output file name for append_row output action.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    Resources DeploymentResourceConfigurationResponse
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    RetrySettings BatchRetrySettingsResponse
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    provisioningState String
    Provisioning state for the endpoint deployment.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    compute String
    Compute target for batch inference operation.
    deploymentConfiguration BatchPipelineComponentDeploymentConfigurationResponse
    Properties relevant to different deployment types.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    errorThreshold Integer
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel String
    Logging level for batch inference operation.
    maxConcurrencyPerInstance Integer
    Indicates maximum number of parallelism per instance.
    miniBatchSize Double
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    outputAction String
    Indicates how the output will be organized.
    outputFileName String
    Customized output file name for append_row output action.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfigurationResponse
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings BatchRetrySettingsResponse
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    provisioningState string
    Provisioning state for the endpoint deployment.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    compute string
    Compute target for batch inference operation.
    deploymentConfiguration BatchPipelineComponentDeploymentConfigurationResponse
    Properties relevant to different deployment types.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    errorThreshold number
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel string
    Logging level for batch inference operation.
    maxConcurrencyPerInstance number
    Indicates maximum number of parallelism per instance.
    miniBatchSize number
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    outputAction string
    Indicates how the output will be organized.
    outputFileName string
    Customized output file name for append_row output action.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfigurationResponse
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings BatchRetrySettingsResponse
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    provisioning_state str
    Provisioning state for the endpoint deployment.
    code_configuration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    compute str
    Compute target for batch inference operation.
    deployment_configuration BatchPipelineComponentDeploymentConfigurationResponse
    Properties relevant to different deployment types.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    error_threshold int
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    logging_level str
    Logging level for batch inference operation.
    max_concurrency_per_instance int
    Indicates maximum number of parallelism per instance.
    mini_batch_size float
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    output_action str
    Indicates how the output will be organized.
    output_file_name str
    Customized output file name for append_row output action.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    resources DeploymentResourceConfigurationResponse
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retry_settings BatchRetrySettingsResponse
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.
    provisioningState String
    Provisioning state for the endpoint deployment.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    compute String
    Compute target for batch inference operation.
    deploymentConfiguration Property Map
    Properties relevant to different deployment types.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    errorThreshold Number
    Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted. Range is [-1, int.MaxValue]. For FileDataset, this value is the count of file failures. For TabularDataset, this value is the count of record failures. If set to -1 (the lower bound), all failures during batch inference will be ignored.
    loggingLevel String
    Logging level for batch inference operation.
    maxConcurrencyPerInstance Number
    Indicates maximum number of parallelism per instance.
    miniBatchSize Number
    Size of the mini-batch passed to each batch invocation. For FileDataset, this is the number of files per mini-batch. For TabularDataset, this is the size of the records in bytes, per mini-batch.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    outputAction String
    Indicates how the output will be organized.
    outputFileName String
    Customized output file name for append_row output action.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    resources Property Map
    Indicates compute configuration for the job. If not provided, will default to the defaults defined in ResourceConfiguration.
    retrySettings Property Map
    Retry Settings for the batch inference operation. If not provided, will default to the defaults defined in BatchRetrySettings.

    BatchLoggingLevel, BatchLoggingLevelArgs

    Info
    Info
    Warning
    Warning
    Debug
    Debug
    BatchLoggingLevelInfo
    Info
    BatchLoggingLevelWarning
    Warning
    BatchLoggingLevelDebug
    Debug
    Info
    Info
    Warning
    Warning
    Debug
    Debug
    Info
    Info
    Warning
    Warning
    Debug
    Debug
    INFO
    Info
    WARNING
    Warning
    DEBUG
    Debug
    "Info"
    Info
    "Warning"
    Warning
    "Debug"
    Debug

    BatchOutputAction, BatchOutputActionArgs

    SummaryOnly
    SummaryOnly
    AppendRow
    AppendRow
    BatchOutputActionSummaryOnly
    SummaryOnly
    BatchOutputActionAppendRow
    AppendRow
    SummaryOnly
    SummaryOnly
    AppendRow
    AppendRow
    SummaryOnly
    SummaryOnly
    AppendRow
    AppendRow
    SUMMARY_ONLY
    SummaryOnly
    APPEND_ROW
    AppendRow
    "SummaryOnly"
    SummaryOnly
    "AppendRow"
    AppendRow

    BatchPipelineComponentDeploymentConfiguration, BatchPipelineComponentDeploymentConfigurationArgs

    ComponentId Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReference
    The ARM id of the component to be run.
    Description string
    The description which will be applied to the job.
    Settings Dictionary<string, string>
    Run-time settings for the pipeline job.
    Tags Dictionary<string, string>
    The tags which will be applied to the job.
    ComponentId IdAssetReference
    The ARM id of the component to be run.
    Description string
    The description which will be applied to the job.
    Settings map[string]string
    Run-time settings for the pipeline job.
    Tags map[string]string
    The tags which will be applied to the job.
    componentId IdAssetReference
    The ARM id of the component to be run.
    description String
    The description which will be applied to the job.
    settings Map<String,String>
    Run-time settings for the pipeline job.
    tags Map<String,String>
    The tags which will be applied to the job.
    componentId IdAssetReference
    The ARM id of the component to be run.
    description string
    The description which will be applied to the job.
    settings {[key: string]: string}
    Run-time settings for the pipeline job.
    tags {[key: string]: string}
    The tags which will be applied to the job.
    component_id IdAssetReference
    The ARM id of the component to be run.
    description str
    The description which will be applied to the job.
    settings Mapping[str, str]
    Run-time settings for the pipeline job.
    tags Mapping[str, str]
    The tags which will be applied to the job.
    componentId Property Map
    The ARM id of the component to be run.
    description String
    The description which will be applied to the job.
    settings Map<String>
    Run-time settings for the pipeline job.
    tags Map<String>
    The tags which will be applied to the job.

    BatchPipelineComponentDeploymentConfigurationResponse, BatchPipelineComponentDeploymentConfigurationResponseArgs

    ComponentId Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse
    The ARM id of the component to be run.
    Description string
    The description which will be applied to the job.
    Settings Dictionary<string, string>
    Run-time settings for the pipeline job.
    Tags Dictionary<string, string>
    The tags which will be applied to the job.
    ComponentId IdAssetReferenceResponse
    The ARM id of the component to be run.
    Description string
    The description which will be applied to the job.
    Settings map[string]string
    Run-time settings for the pipeline job.
    Tags map[string]string
    The tags which will be applied to the job.
    componentId IdAssetReferenceResponse
    The ARM id of the component to be run.
    description String
    The description which will be applied to the job.
    settings Map<String,String>
    Run-time settings for the pipeline job.
    tags Map<String,String>
    The tags which will be applied to the job.
    componentId IdAssetReferenceResponse
    The ARM id of the component to be run.
    description string
    The description which will be applied to the job.
    settings {[key: string]: string}
    Run-time settings for the pipeline job.
    tags {[key: string]: string}
    The tags which will be applied to the job.
    component_id IdAssetReferenceResponse
    The ARM id of the component to be run.
    description str
    The description which will be applied to the job.
    settings Mapping[str, str]
    Run-time settings for the pipeline job.
    tags Mapping[str, str]
    The tags which will be applied to the job.
    componentId Property Map
    The ARM id of the component to be run.
    description String
    The description which will be applied to the job.
    settings Map<String>
    Run-time settings for the pipeline job.
    tags Map<String>
    The tags which will be applied to the job.

    BatchRetrySettings, BatchRetrySettingsArgs

    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Integer
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries number
    Maximum retry count for a mini-batch
    timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    max_retries int
    Maximum retry count for a mini-batch
    timeout str
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Number
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.

    BatchRetrySettingsResponse, BatchRetrySettingsResponseArgs

    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    MaxRetries int
    Maximum retry count for a mini-batch
    Timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Integer
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries number
    Maximum retry count for a mini-batch
    timeout string
    Invocation timeout for a mini-batch, in ISO 8601 format.
    max_retries int
    Maximum retry count for a mini-batch
    timeout str
    Invocation timeout for a mini-batch, in ISO 8601 format.
    maxRetries Number
    Maximum retry count for a mini-batch
    timeout String
    Invocation timeout for a mini-batch, in ISO 8601 format.

    CodeConfiguration, CodeConfigurationArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    CodeConfigurationResponse, CodeConfigurationResponseArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    DataPathAssetReference, DataPathAssetReferenceArgs

    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    path string
    The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    path str
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.

    DataPathAssetReferenceResponse, DataPathAssetReferenceResponseArgs

    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    path string
    The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    path str
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.

    DeploymentResourceConfiguration, DeploymentResourceConfigurationArgs

    InstanceCount int
    Optional number of instances or nodes used by the compute target.
    InstanceType string
    Optional type of VM used as supported by the compute target.
    Properties Dictionary<string, object>
    Additional properties bag.
    InstanceCount int
    Optional number of instances or nodes used by the compute target.
    InstanceType string
    Optional type of VM used as supported by the compute target.
    Properties map[string]interface{}
    Additional properties bag.
    instanceCount Integer
    Optional number of instances or nodes used by the compute target.
    instanceType String
    Optional type of VM used as supported by the compute target.
    properties Map<String,Object>
    Additional properties bag.
    instanceCount number
    Optional number of instances or nodes used by the compute target.
    instanceType string
    Optional type of VM used as supported by the compute target.
    properties {[key: string]: any}
    Additional properties bag.
    instance_count int
    Optional number of instances or nodes used by the compute target.
    instance_type str
    Optional type of VM used as supported by the compute target.
    properties Mapping[str, Any]
    Additional properties bag.
    instanceCount Number
    Optional number of instances or nodes used by the compute target.
    instanceType String
    Optional type of VM used as supported by the compute target.
    properties Map<Any>
    Additional properties bag.

    DeploymentResourceConfigurationResponse, DeploymentResourceConfigurationResponseArgs

    InstanceCount int
    Optional number of instances or nodes used by the compute target.
    InstanceType string
    Optional type of VM used as supported by the compute target.
    Properties Dictionary<string, object>
    Additional properties bag.
    InstanceCount int
    Optional number of instances or nodes used by the compute target.
    InstanceType string
    Optional type of VM used as supported by the compute target.
    Properties map[string]interface{}
    Additional properties bag.
    instanceCount Integer
    Optional number of instances or nodes used by the compute target.
    instanceType String
    Optional type of VM used as supported by the compute target.
    properties Map<String,Object>
    Additional properties bag.
    instanceCount number
    Optional number of instances or nodes used by the compute target.
    instanceType string
    Optional type of VM used as supported by the compute target.
    properties {[key: string]: any}
    Additional properties bag.
    instance_count int
    Optional number of instances or nodes used by the compute target.
    instance_type str
    Optional type of VM used as supported by the compute target.
    properties Mapping[str, Any]
    Additional properties bag.
    instanceCount Number
    Optional number of instances or nodes used by the compute target.
    instanceType String
    Optional type of VM used as supported by the compute target.
    properties Map<Any>
    Additional properties bag.

    IdAssetReference, IdAssetReferenceArgs

    AssetId string
    [Required] ARM resource ID of the asset.
    AssetId string
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.
    assetId string
    [Required] ARM resource ID of the asset.
    asset_id str
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.

    IdAssetReferenceResponse, IdAssetReferenceResponseArgs

    AssetId string
    [Required] ARM resource ID of the asset.
    AssetId string
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.
    assetId string
    [Required] ARM resource ID of the asset.
    asset_id str
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.

    ManagedServiceIdentity, ManagedServiceIdentityArgs

    Type string | Pulumi.AzureNative.MachineLearningServices.ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities List<string>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    Type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities []string
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities string[]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type str | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Sequence[str]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | "None" | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned"
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityResponse, ManagedServiceIdentityResponseArgs

    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities map[string]UserAssignedIdentityResponse
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<String,UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principal_id str
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenant_id str
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type str
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Mapping[str, UserAssignedIdentityResponse]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<Property Map>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityType, ManagedServiceIdentityTypeArgs

    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    ManagedServiceIdentityTypeNone
    None
    ManagedServiceIdentityTypeSystemAssigned
    SystemAssigned
    ManagedServiceIdentityTypeUserAssigned
    UserAssigned
    ManagedServiceIdentityType_SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    NONE
    None
    SYSTEM_ASSIGNED
    SystemAssigned
    USER_ASSIGNED
    UserAssigned
    SYSTEM_ASSIGNED_USER_ASSIGNED
    SystemAssigned,UserAssigned
    "None"
    None
    "SystemAssigned"
    SystemAssigned
    "UserAssigned"
    UserAssigned
    "SystemAssigned,UserAssigned"
    SystemAssigned,UserAssigned

    OutputPathAssetReference, OutputPathAssetReferenceArgs

    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.
    jobId string
    ARM resource ID of the job.
    path string
    The path of the file/directory in the job output.
    job_id str
    ARM resource ID of the job.
    path str
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.

    OutputPathAssetReferenceResponse, OutputPathAssetReferenceResponseArgs

    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.
    jobId string
    ARM resource ID of the job.
    path string
    The path of the file/directory in the job output.
    job_id str
    ARM resource ID of the job.
    path str
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.

    Sku, SkuArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier Pulumi.AzureNative.MachineLearningServices.SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier "Free" | "Basic" | "Standard" | "Premium"
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuResponse, SkuResponseArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier str
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuTier, SkuTierArgs

    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    SkuTierFree
    Free
    SkuTierBasic
    Basic
    SkuTierStandard
    Standard
    SkuTierPremium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    FREE
    Free
    BASIC
    Basic
    STANDARD
    Standard
    PREMIUM
    Premium
    "Free"
    Free
    "Basic"
    Basic
    "Standard"
    Standard
    "Premium"
    Premium

    SystemDataResponse, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.
    createdAt string
    The timestamp of resource creation (UTC).
    createdBy string
    The identity that created the resource.
    createdByType string
    The type of identity that created the resource.
    lastModifiedAt string
    The timestamp of resource last modification (UTC)
    lastModifiedBy string
    The identity that last modified the resource.
    lastModifiedByType string
    The type of identity that last modified the resource.
    created_at str
    The timestamp of resource creation (UTC).
    created_by str
    The identity that created the resource.
    created_by_type str
    The type of identity that created the resource.
    last_modified_at str
    The timestamp of resource last modification (UTC)
    last_modified_by str
    The identity that last modified the resource.
    last_modified_by_type str
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.

    UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.
    clientId string
    The client ID of the assigned identity.
    principalId string
    The principal ID of the assigned identity.
    tenantId string
    The tenant ID of the user assigned identity.
    client_id str
    The client ID of the assigned identity.
    principal_id str
    The principal ID of the assigned identity.
    tenant_id str
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.

    Package Details

    Repository
    Azure Native pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
    Azure Native v3.4.0 published on Wednesday, May 7, 2025 by Pulumi
    pulumi/pulumi-azure-native