Azure Native v1.103.0, Jun 2 23

Azure Native v1.103.0 published on Friday, Jun 2, 2023 by Pulumi

azure-native.machinelearningservices.getBatchDeployment

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Azure Native v1.103.0 published on Friday, Jun 2, 2023 by Pulumi

Using getBatchDeployment

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getBatchDeployment(args: GetBatchDeploymentArgs, opts?: InvokeOptions): Promise<GetBatchDeploymentResult>
function getBatchDeploymentOutput(args: GetBatchDeploymentOutputArgs, opts?: InvokeOptions): Output<GetBatchDeploymentResult>

def get_batch_deployment(deployment_name: Optional[str] = None,
                         endpoint_name: Optional[str] = None,
                         resource_group_name: Optional[str] = None,
                         workspace_name: Optional[str] = None,
                         opts: Optional[InvokeOptions] = None) -> GetBatchDeploymentResult
def get_batch_deployment_output(deployment_name: Optional[pulumi.Input[str]] = None,
                         endpoint_name: Optional[pulumi.Input[str]] = None,
                         resource_group_name: Optional[pulumi.Input[str]] = None,
                         workspace_name: Optional[pulumi.Input[str]] = None,
                         opts: Optional[InvokeOptions] = None) -> Output[GetBatchDeploymentResult]

func LookupBatchDeployment(ctx *Context, args *LookupBatchDeploymentArgs, opts ...InvokeOption) (*LookupBatchDeploymentResult, error)
func LookupBatchDeploymentOutput(ctx *Context, args *LookupBatchDeploymentOutputArgs, opts ...InvokeOption) LookupBatchDeploymentResultOutput

> Note: This function is named LookupBatchDeployment in the Go SDK.

public static class GetBatchDeployment 
{
    public static Task<GetBatchDeploymentResult> InvokeAsync(GetBatchDeploymentArgs args, InvokeOptions? opts = null)
    public static Output<GetBatchDeploymentResult> Invoke(GetBatchDeploymentInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetBatchDeploymentResult> getBatchDeployment(GetBatchDeploymentArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: azure-native:machinelearningservices:getBatchDeployment
  arguments:
    # arguments dictionary

The following arguments are supported:

DeploymentName string: The identifier for the Batch deployments.
EndpointName string: 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 deployments.
EndpointName string: 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 deployments.
endpointName String: 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 deployments.
endpointName string: Endpoint name
resourceGroupName string: The name of the resource group. The name is case insensitive.
workspaceName string: Name of Azure Machine Learning workspace.

deployment_name str: The identifier for the Batch deployments.
endpoint_name str: 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.

deploymentName String: The identifier for the Batch deployments.
endpointName String: Endpoint name
resourceGroupName String: The name of the resource group. The name is case insensitive.
workspaceName String: Name of Azure Machine Learning workspace.

getBatchDeployment Result

The following output properties are available:

Id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
Location string: The geo-location where the resource lives
Name string: The name of the resource
Properties Pulumi.AzureNative.MachineLearningServices.Outputs.BatchDeploymentResponse: [Required] Additional attributes of the entity.
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse: System data associated with resource provider
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Identity Pulumi.AzureNative.MachineLearningServices.Outputs.ResourceIdentityResponse: Service identity associated with a resource.
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Tags Dictionary<string, string>: Resource tags.

Id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
Location string: The geo-location where the resource lives
Name string: The name of the resource
Properties BatchDeploymentResponse: [Required] Additional attributes of the entity.
SystemData SystemDataResponse: System data associated with resource provider
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Identity ResourceIdentityResponse: Service identity associated with a resource.
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Tags map[string]string: Resource tags.

id String: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location String: The geo-location where the resource lives
name String: The name of the resource
properties BatchDeploymentResponse: [Required] Additional attributes of the entity.
systemData SystemDataResponse: System data associated with resource provider
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Map<String,String>: Resource tags.

id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location string: The geo-location where the resource lives
name string: The name of the resource
properties BatchDeploymentResponse: [Required] Additional attributes of the entity.
systemData SystemDataResponse: System data associated with resource provider
type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags {[key: string]: string}: Resource tags.

id str: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location str: The geo-location where the resource lives
name str: The name of the resource
properties BatchDeploymentResponse: [Required] Additional attributes of the entity.
system_data SystemDataResponse: System data associated with resource provider
type str: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind str: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Mapping[str, str]: Resource tags.

id String: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location String: The geo-location where the resource lives
name String: The name of the resource
properties Property Map: [Required] Additional attributes of the entity.
systemData Property Map: System data associated with resource provider
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity Property Map: Service identity associated with a resource.
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Map<String>: Resource tags.

Supporting Types

BatchDeploymentResponse

CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse: Code configuration for the endpoint deployment.
Compute Pulumi.AzureNative.MachineLearningServices.Inputs.ComputeConfigurationResponse: Configuration for compute binding.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID 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.
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.
OutputConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.BatchOutputConfigurationResponse: Output configuration for the batch inference operation.
PartitionKeys List<string>: Partition keys list used for Named partitioning.
Properties Dictionary<string, string>: Property dictionary. Properties can be added, but not removed or altered.
RetrySettings Pulumi.AzureNative.MachineLearningServices.Inputs.BatchRetrySettingsResponse: Retry Settings for the batch inference operation.

CodeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
Compute ComputeConfigurationResponse: Configuration for compute binding.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID 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.
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.
OutputConfiguration BatchOutputConfigurationResponse: Output configuration for the batch inference operation.
PartitionKeys []string: Partition keys list used for Named partitioning.
Properties map[string]string: Property dictionary. Properties can be added, but not removed or altered.
RetrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation.

codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute ComputeConfigurationResponse: Configuration for compute binding.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID 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.
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.
outputConfiguration BatchOutputConfigurationResponse: Output configuration for the batch inference operation.
partitionKeys List<String>: Partition keys list used for Named partitioning.
properties Map<String,String>: Property dictionary. Properties can be added, but not removed or altered.
retrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation.

codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute ComputeConfigurationResponse: Configuration for compute binding.
description string: Description of the endpoint deployment.
environmentId string: ARM resource ID 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.
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.
outputConfiguration BatchOutputConfigurationResponse: Output configuration for the batch inference operation.
partitionKeys string[]: Partition keys list used for Named partitioning.
properties {[key: string]: string}: Property dictionary. Properties can be added, but not removed or altered.
retrySettings BatchRetrySettingsResponse: Retry Settings for the batch inference operation.

code_configuration CodeConfigurationResponse: Code configuration for the endpoint deployment.
compute ComputeConfigurationResponse: Configuration for compute binding.
description str: Description of the endpoint deployment.
environment_id str: ARM resource ID 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.
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_configuration BatchOutputConfigurationResponse: Output configuration for the batch inference operation.
partition_keys Sequence[str]: Partition keys list used for Named partitioning.
properties Mapping[str, str]: Property dictionary. Properties can be added, but not removed or altered.
retry_settings BatchRetrySettingsResponse: Retry Settings for the batch inference operation.

codeConfiguration Property Map: Code configuration for the endpoint deployment.
compute Property Map: Configuration for compute binding.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID 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.
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.
outputConfiguration Property Map: Output configuration for the batch inference operation.
partitionKeys List<String>: Partition keys list used for Named partitioning.
properties Map<String>: Property dictionary. Properties can be added, but not removed or altered.
retrySettings Property Map: Retry Settings for the batch inference operation.

BatchOutputConfigurationResponse

AppendRowFileName string: Customized output file name for append_row output action.
OutputAction string: Indicates how the output will be organized.

AppendRowFileName string: Customized output file name for append_row output action.
OutputAction string: Indicates how the output will be organized.

appendRowFileName String: Customized output file name for append_row output action.
outputAction String: Indicates how the output will be organized.

appendRowFileName string: Customized output file name for append_row output action.
outputAction string: Indicates how the output will be organized.

append_row_file_name str: Customized output file name for append_row output action.
output_action str: Indicates how the output will be organized.

appendRowFileName String: Customized output file name for append_row output action.
outputAction String: Indicates how the output will be organized.

BatchRetrySettingsResponse

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.

CodeConfigurationResponse

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.

ComputeConfigurationResponse

InstanceCount int: Number of instances or nodes.
InstanceType string: SKU type to run on.
IsLocal bool: Set to true for jobs running on local compute.
Location string: Location for virtual cluster run.
Properties Dictionary<string, string>: Additional properties.
Target string: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

InstanceCount int: Number of instances or nodes.
InstanceType string: SKU type to run on.
IsLocal bool: Set to true for jobs running on local compute.
Location string: Location for virtual cluster run.
Properties map[string]string: Additional properties.
Target string: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Integer: Number of instances or nodes.
instanceType String: SKU type to run on.
isLocal Boolean: Set to true for jobs running on local compute.
location String: Location for virtual cluster run.
properties Map<String,String>: Additional properties.
target String: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount number: Number of instances or nodes.
instanceType string: SKU type to run on.
isLocal boolean: Set to true for jobs running on local compute.
location string: Location for virtual cluster run.
properties {[key: string]: string}: Additional properties.
target string: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instance_count int: Number of instances or nodes.
instance_type str: SKU type to run on.
is_local bool: Set to true for jobs running on local compute.
location str: Location for virtual cluster run.
properties Mapping[str, str]: Additional properties.
target str: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

instanceCount Number: Number of instances or nodes.
instanceType String: SKU type to run on.
isLocal Boolean: Set to true for jobs running on local compute.
location String: Location for virtual cluster run.
properties Map<String>: Additional properties.
target String: ARM resource ID of the Compute you are targeting. If not provided the resource will be deployed as Managed.

DataPathAssetReferenceResponse

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.

IdAssetReferenceResponse

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.

OutputPathAssetReferenceResponse

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.

ResourceIdentityResponse

PrincipalId string: Client ID that is used when authenticating.
TenantId string: AAD Tenant where this identity lives.
Type string: Defines values for a ResourceIdentity's type.
UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaResponse>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

PrincipalId string: Client ID that is used when authenticating.
TenantId string: AAD Tenant where this identity lives.
Type string: Defines values for a ResourceIdentity's type.
UserAssignedIdentities map[string]UserAssignedIdentityMetaResponse: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String: Client ID that is used when authenticating.
tenantId String: AAD Tenant where this identity lives.
type String: Defines values for a ResourceIdentity's type.
userAssignedIdentities Map<String,UserAssignedIdentityMetaResponse>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId string: Client ID that is used when authenticating.
tenantId string: AAD Tenant where this identity lives.
type string: Defines values for a ResourceIdentity's type.
userAssignedIdentities {[key: string]: UserAssignedIdentityMetaResponse}: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principal_id str: Client ID that is used when authenticating.
tenant_id str: AAD Tenant where this identity lives.
type str: Defines values for a ResourceIdentity's type.
user_assigned_identities Mapping[str, UserAssignedIdentityMetaResponse]: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String: Client ID that is used when authenticating.
tenantId String: AAD Tenant where this identity lives.
type String: Defines values for a ResourceIdentity's type.
userAssignedIdentities Map<Property Map>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

SystemDataResponse

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for the identity that last modified the resource
lastModifiedByType String: The type of identity that last modified the resource

UserAssignedIdentityMetaResponse

ClientId string: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
PrincipalId string: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

ClientId string: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
PrincipalId string: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
principalId String: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId string: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
principalId string: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

client_id str: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
principal_id str: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

clientId String: Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
principalId String: The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0

Azure Native v1.103.0 published on Friday, Jun 2, 2023 by Pulumi

pulumi/pulumi-azure-native

azure-native.machinelearningservices.getBatchDeployment

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Using getBatchDeployment

getBatchDeployment Result

Supporting Types

BatchDeploymentResponse

BatchOutputConfigurationResponse

BatchRetrySettingsResponse

CodeConfigurationResponse

ComputeConfigurationResponse

DataPathAssetReferenceResponse

IdAssetReferenceResponse

OutputPathAssetReferenceResponse

ResourceIdentityResponse

SystemDataResponse

UserAssignedIdentityMetaResponse

Package Details

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