Ace the AWS Certified Cloud Practitioner Exam 2025 – Become the Cloud Captain!

The primary purpose of AWS Glue is to prepare and load data for analysis. It is a fully managed extract, transform, and load (ETL) service that allows users to automate the process of data preparation, making it easier to analyze large amounts of data across various sources. AWS Glue helps in discovering and categorizing data, as well as cleaning and enriching the data, which is essential for analytics tasks.

By using AWS Glue, organizations can streamline their data workflows, making data accessible for analytics through services like Amazon Redshift, Amazon Athena, and other data lakes. The service allows users to create ETL jobs that can be scheduled or triggered on demand, ensuring that data is always ready for analysis.

In contrast, other options do not accurately reflect the primary functionality of AWS Glue. For instance, a content management system focuses on the creation and management of digital content, cloud storage backup solutions are primarily concerned with data redundancy and recovery, and database management services revolve around the administration and operation of databases rather than preparing data for analytics.