Topic 1 Question 30

AWS Certified Machine Learning - Specialty

Topic 1 Question 30
When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified?

3 つ選択
- The training channel identifying the location of training data on an Amazon S3 bucket.
- The validation channel identifying the location of validation data on an Amazon S3 bucket.
- The IAM role that Amazon SageMaker can assume to perform tasks on behalf of the users.
- Hyperparameters in a JSON array as documented for the algorithm used.
- The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.
- The output path specifying where on an Amazon S3 bucket the trained model will persist.
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- THE ANSWER SHOUD BE CEF IAM ROLE, INSTANCE TYPE, OUTPUT PATH
  
  👍 26
  DonaldCMLIN2021/09/22
- From here https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/API_CreateTrainingJob.html .. the only "Required: Yes" attributes are:
  
  AlgorithmSpecification (in this TrainingInputMode is Required - i.e. File or Pipe)
  
  OutputDataConfig (in this S3OutputPath is Required - where the model artifacts are stored)
  
  ResourceConfig (in this EC2 InstanceType and VolumeSizeInGB are required)
  
  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 permission.)
  
  StoppingCondition
  
  TrainingJobName (The name of the training job. The name must be unique within an AWS Region in an AWS account.)
  
  From the given options in the questions.. we have 2, 3, and 4 above. so, the answer is CEF.
  👍 22
  VB2021/10/12
- https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html Cmd + F search for 'Required: Yes' CEF
  
  👍 2
  orangechickencombo2021/11/04
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