When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)

Question

Options

• AThe training channel identifying the location of training data on an Amazon S3 bucket.
• BThe validation channel identifying the location of validation data on an Amazon S3 bucket.
• CThe IAM role that Amazon SageMaker can assume to perform tasks on behalf of the users.
• DHyperparameters in a JSON array as documented for the algorithm used.
• EThe Amazon EC2 instance class specifying whether training will be run using CPU or GPU.
• FThe output path specifying where on an Amazon S3 bucket the trained model will persist.

• A
  2% (1)
• B
  2% (1)
• C
  90% (47)
• D
  6% (3)

Explanation

https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/API_CreateTrainingJob.html .. the only "Required: Yes" attributes are: 1. AlgorithmSpecification (in this TrainingInputMode is Required - i.e. File or Pipe) 2. OutputDataConfig (in this S3OutputPath is Required - where the model artifacts are stored) 3. ResourceConfig (in this EC2 InstanceType and VolumeSizeInGB are required) 4. RoleArn (..The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf...the caller of this API must have the iam:PassRole 5. StoppingCondition 6. TrainingJobName (The name of the training job. The name must be unique within an AWS Region in an AWS account.)

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