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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 41 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 41
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

An ML engineer needs to use AWS CloudFormation to create an ML model that an Amazon SageMaker endpoint will host.
Which resource should the ML engineer declare in the CloudFormation template to meet this requirement?

  • A. AWS::SageMaker::Model
  • B. AWS::SageMaker::Endpoint
  • C. AWS::SageMaker::NotebookInstance
  • D. AWS::SageMaker::Pipeline
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Suggested Answer: A 🗳️
by GiorgioGss at Nov. 27, 2024, 10:33 p.m.
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Saransundar
1 month ago
Selected Answer: A
Type: AWS::SageMaker::Model Properties: Containers: - ContainerDefinition EnableNetworkIsolation: Boolean ExecutionRoleArn: String InferenceExecutionConfig: InferenceExecutionConfig ModelName: String PrimaryContainer: ContainerDefinition Tags: - Tag VpcConfig: VpcConfig
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GiorgioGss
1 month, 1 week ago
Selected Answer: A
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-model.html
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