Azure Native v1 v1.104.0, Jul 6 23

These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.

Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi

pulumi/pulumi-azure-native

azure-native.machinelearningservices.getBatchDeployment

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These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.

Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi

pulumi/pulumi-azure-native

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-v1 pulumi/pulumi-azure-native
License: Apache-2.0

These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.

Azure Native v1 v1.104.0 published on Thursday, Jul 6, 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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