AWS Certified Data Analytics Specialty 2021 - Hands-On! - Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks

The video tutorial explains how to develop ETL scripts using AWS Glue development endpoints. It covers connecting to these endpoints through various methods, such as Apache Zeppelin, SageMaker, and PyCharm. The tutorial also discusses running Glue jobs using Cron-style scheduling and job bookmarks to manage data processing. Additionally, it highlights integrating Glue with CloudWatch for monitoring and triggering actions based on job outcomes.

Which tool can be used to develop ETL scripts in a notebook environment on a local machine?

• AWS Lambda

• Apache Zeppelin

• AWS CloudFormation

• Amazon RDS

What is the purpose of a job bookmark in AWS Glue?

• To monitor job performance

• To schedule jobs at specific times

• To persist state and prevent reprocessing of data

• To integrate with other AWS services

Why might job bookmarks not work as expected with relational databases?

• They are incompatible with JDBC connections

• They need manual configuration for each job

• They require a specific database engine

• They only handle new rows, not updated rows

How can AWS Glue jobs be monitored for success or failure?

• Using AWS S3 bucket notifications

• Through AWS IAM roles

• By manually checking the AWS console

• Using AWS CloudWatch events

Which AWS service can be triggered by CloudWatch events when a Glue job succeeds or fails?

• AWS Elastic Beanstalk

• Amazon DynamoDB

• AWS Lambda

• Amazon S3