Athena Spark Notebooks Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Data Analysis

Athena Spark Notebooks Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    What is the primary purpose of using an Athena Spark notebook compared to standard Athena SQL queries?

  2. 2

    When working in an Athena Spark notebook, how do you reference a table defined in the AWS Glue Data Catalog?

  3. 3

    Which of the following is a key benefit of using Athena Spark notebooks for interactive data analysis?

  4. 4

    You have a large dataset in S3 and need to perform a data transformation that requires complex window functions and custom Python logic. Which approach is most efficient?

  5. 5

    When configuring an Athena Spark session, what is the primary role of the 'Workgroup' setting?