AWS Certified Cloud Practitioner Practice Exam

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Prepare for the AWS Certified Cloud Practitioner Exam with our comprehensive quiz featuring flashcards and multiple-choice questions, each supplemented with hints and explanations. Ensure you're well-equipped to ace your certification!

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Which AWS service is used for creating and managing custom machine learning models?

  1. Amazon Personalize

  2. Amazon SageMaker

  3. Amazon Redshift

  4. AWS Glue

The correct answer is: Amazon SageMaker

Amazon SageMaker is the correct answer for creating and managing custom machine learning models as it provides a fully managed platform for building, training, and deploying ML models. Other options such as Amazon Personalize and AWS Glue are not suitable as they are specialized for recommendation engines and data ingestion/ETL respectively. Amazon Redshift is a data warehouse service and is not designed for creating ML models. Therefore, option B Amazon SageMaker is the most suitable and correct choice.

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