AWS Certified Data Analytics Specialty 2021 - Hands-On! - AWS Glue Studio

AWS Glue Studio is a visual tool for creating and managing ETL workflows. It allows users to define complex workflows using a visual job editor, supporting data sources like S3, Kinesis, Kafka, and JDBC. Users can perform data transformations, set up directed acyclic graphs, and monitor job runs through a dashboard. The tool simplifies ETL processes by enabling graphical setup and offering advanced features like partitioning and custom code transformations.

What is the primary purpose of AWS Glue Studio?

• To create and manage ETL workflows visually

• To monitor AWS EC2 instances

• To design AWS Lambda functions

• To manage AWS billing and costs

How does Glue Studio handle partitioned data?

• It only supports partitioning for S3 sources

• It requires manual configuration for partitioning

• It automatically optimizes for partitioned data

• It ignores partitioning

Which of the following is a feature of the visual job editor in Glue Studio?

• Creating linear workflows only

• Generating random data samples

• Managing AWS IAM roles

• Creating directed acyclic graphs

When creating a new job in Glue Studio, which of the following can be a data source?

• Amazon EC2

• AWS CloudWatch

• AWS Lambda

• Amazon S3

What transformation can be applied to data in Glue Studio?

• Compressing files

• Scaling data

• Dropping fields

• Encrypting data

What is the purpose of the Glue Studio dashboard?

• To deploy AWS applications

• To manage AWS billing

• To create new AWS accounts

• To visualize the status of ETL jobs

Which of the following is NOT a feature of Glue Studio's monitoring capabilities?

• Viewing job success rates

• Managing AWS IAM policies

• Viewing job timelines

• Tracking resource usage