CreateStudioLifecycleConfig - Amazon SageMaker
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CreateStudioLifecycleConfig

Creates a new Studio Lifecycle Configuration.

Request Syntax

{ "StudioLifecycleConfigAppType": "string", "StudioLifecycleConfigContent": "string", "StudioLifecycleConfigName": "string", "Tags": [ { "Key": "string", "Value": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

StudioLifecycleConfigAppType

The App type that the Lifecycle Configuration is attached to.

Type: String

Valid Values: JupyterServer | KernelGateway

Required: Yes

StudioLifecycleConfigContent

The content of your Studio Lifecycle Configuration script. This content must be base64 encoded.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 16384.

Pattern: [\S\s]+

Required: Yes

StudioLifecycleConfigName

The name of the Studio Lifecycle Configuration to create.

Type: String

Length Constraints: Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}

Required: Yes

Tags

Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Response Syntax

{ "StudioLifecycleConfigArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

StudioLifecycleConfigArn

The ARN of your created Lifecycle Configuration.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:studio-lifecycle-config/.*

Errors

For information about the errors that are common to all actions, see Common Errors.

ResourceInUse

Resource being accessed is in use.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: