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Question 213 - DAS-C01 discussion

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A company has a mobile app that has millions of users. The company wants to enhance the mobile app by including interactive data visualizations that show user trends.

The data for visualization is stored in a large data lake with 50 million rows. Data that is used in the visualization should be no more than two hours old.

Which solution will meet these requirements with the LEAST operational overhead?

A.
Run an hourly batch process that renders user-specific data visualizations as static images that are stored in Amazon S3.
Answers
A.
Run an hourly batch process that renders user-specific data visualizations as static images that are stored in Amazon S3.
B.
Precompute aggregated data hourly. Store the data in Amazon DynamoDB. Render the data by using the D3.js JavaScript library.
Answers
B.
Precompute aggregated data hourly. Store the data in Amazon DynamoDB. Render the data by using the D3.js JavaScript library.
C.
Embed an Amazon QuickSight Enterprise edition dashboard into the mobile app by using the QuickSight Embedding SDK. Refresh data in SPICE hourly.
Answers
C.
Embed an Amazon QuickSight Enterprise edition dashboard into the mobile app by using the QuickSight Embedding SDK. Refresh data in SPICE hourly.
D.
Run Amazon Athena queries behind an Amazon API Gateway API. Render the data by using the D3.js JavaScript library.
Answers
D.
Run Amazon Athena queries behind an Amazon API Gateway API. Render the data by using the D3.js JavaScript library.
Suggested answer: A
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asked 16/09/2024
Mohsin Raza
43 questions
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