AWS Certified Cloud Practitioner Practice Exam

Disable ads (and more) with a membership for a one time $2.99 payment

Ace the AWS Certified Cloud Practitioner Exam with our extensive collection of flashcards and diverse multiple-choice questions. Updated for 2024 to guarantee your success in the certification journey!

Start Multiple Choice Practice Test
Start Flash Cards

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.

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.

More Questions Like This