CreateDeviceFleet - Amazon SageMaker
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CreateDeviceFleet

Creates a device fleet.

Request Syntax

{ "Description": "string", "DeviceFleetName": "string", "EnableIotRoleAlias": boolean, "OutputConfig": { "KmsKeyId": "string", "PresetDeploymentConfig": "string", "PresetDeploymentType": "string", "S3OutputLocation": "string" }, "RoleArn": "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.

Description

A description of the fleet.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 800.

Pattern: ^[-a-zA-Z0-9_.,;:! ]*$

Required: No

DeviceFleetName

The name of the fleet that the device belongs to.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

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

Required: Yes

EnableIotRoleAlias

Whether to create an Amazon IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".

For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".

Type: Boolean

Required: No

OutputConfig

The output configuration for storing sample data collected by the fleet.

Type: EdgeOutputConfig object

Required: Yes

RoleArn

The Amazon Resource Name (ARN) that has access to Amazon Internet of Things (IoT).

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

Required: No

Tags

Creates tags for the specified fleet.

Type: Array of Tag objects

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

Required: No

Response Elements

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

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

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

See Also

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