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 set up complex data processing tasks using a graphical interface, supporting various data sources like S3, Kinesis, and Kafka. The tool uses directed acyclic graphs (DAGs) for workflow management, similar to Apache Spark. Users can perform data transformations, apply filters, and manage job outputs without writing code. Glue Studio also provides a dashboard for monitoring job performance and troubleshooting. The video provides a practical demonstration of setting up and managing ETL jobs using Glue Studio.

What is AWS Glue Studio primarily used for?

• Defining and creating ETL workflows

• Creating machine learning models

• Managing cloud storage

• Developing mobile applications

Which of the following is NOT a data source supported by AWS Glue Studio?

• Google Drive

• Kafka

• Kinesis

• S3

What structure does Glue Studio use to represent complex workflows?

• Linked Lists

• Circular Graphs

• Directed Acyclic Graphs (DAGs)

• Binary Trees

In Glue Studio, what can you do with the transform menu?

• Apply mappings, drop fields, and join tables

• Create new databases

• Manage network settings

• Design user interfaces

How can you filter data in Glue Studio?

• By writing Python scripts

• By adding a filter transformation with conditions

• By using Excel formulas

• By using SQL queries

What is the purpose of the visual job dashboard in Glue Studio?

• To create machine learning models

• To visualize the status and performance of ETL jobs

• To manage user permissions

• To design new ETL workflows

What can you monitor using the Glue Studio dashboard?

• Stock market prices

• ETL job success rates and resource usage

• Social media trends

• Weather forecasts