AWS Certified Cloud Practitioner Practice Exam

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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!

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Which AWS service is used for creating and managing custom machine learning recommendations for your applications?

Amazon Personalize
Amazon SageMaker
Amazon Redshift
AWS Glue

The correct answer is: Amazon Personalize

Amazon Personalize is the best option for creating and managing custom machine learning recommendations for your applications for several reasons. Firstly, Amazon Personalize is specifically designed for this purpose, whereas the other options are not tailored for this task. Additionally, Amazon Personalize has a user-friendly interface that allows even non-technical users to easily create and manage machine learning recommendations. On the other hand, Amazon SageMaker is more suitable for building, training, and deploying machine learning models, but not specifically for creating recommendations. Amazon Redshift is a data warehouse service, while AWS Glue is an extract-transform-load (ETL) service, both of which are not optimized for creating and managing recommendations. Therefore, Amazon Personalize is the most suitable and efficient AWS service for this task.