AWS Certified Data Analytics – Specialty — Question 47

A global company has different sub-organizations, and each sub-organization sells its products and services in various countries. The company's senior leadership wants to quickly identify which sub-organization is the strongest performer in each country. All sales data is stored in Amazon S3 in Parquet format.
Which approach can provide the visuals that senior leadership requested with the least amount of effort?

Answer options

• A. Use Amazon QuickSight with Amazon Athena as the data source. Use heat maps as the visual type.
• B. Use Amazon QuickSight with Amazon S3 as the data source. Use heat maps as the visual type.
• C. Use Amazon QuickSight with Amazon Athena as the data source. Use pivot tables as the visual type.
• D. Use Amazon QuickSight with Amazon S3 as the data source. Use pivot tables as the visual type.

Correct answer: A

Explanation

The correct answer is A because Amazon QuickSight can directly query data stored in Amazon S3 through Amazon Athena, enabling efficient analysis of Parquet formatted data, while heat maps provide a clear visual representation of performance across different countries. Options B and D incorrectly use Amazon S3 as the data source without employing Athena, which doesn't allow for the same level of querying capability. Option C uses pivot tables instead of heat maps, which may not be as effective for visualizing performance comparisons across countries.