DAS-C01 Question #109: Real Exam Question with Answer & Explanation

Question

A retail company wants to use Amazon QuickSight to generate dashboards for web and in-store sales. A group of 50 business intelligence professionals will develop and use the dashboards. Once ready, the dashboards will be shared with a group of 1,000 users. The sales data comes from different stores and is uploaded to Amazon S3 every 24 hours. The data is partitioned by year and month, and is stored in Apache Parquet format. The company is using the AWS Glue Data Catalog as its main data catalog and Amazon Athena for querying. The total size of the uncompressed data that the dashboards query from at any point is 200 GB. Which configuration will provide the MOST cost-effective solution that meets these requirements?

Options

• ALoad the data into an Amazon Redshift cluster by using the COPY command.
• BUse QuickSight Standard edition.
• CUse QuickSight Enterprise edition.
• DUse QuickSight Enterprise edition.

Explanation

{"question_number": 8, "question_summary": "QuickSight for 50 BI developers + 1,000 viewers using Athena/S3/Glue - most cost-effective configuration", "correct_answer": "C", "explanation": "QuickSight Enterprise edition is the correct choice for this scale. Enterprise edition supports 'Reader' user pricing, where the 1,000 dashboard consumers pay per session (capped at a low monthly maximum), which is far cheaper than provisioning 1,000 full Author or Standard user licenses. The 50 BI professionals can be Author users. The data is already in S3 Parquet format queryable via Athena, so there is no need to load it into Redshift (A), which would add ETL cost and operational overhead. QuickSight Standard edition (B) lacks the Reader user pricing tier needed to cost-effectively handle 1,000 consumers.", "generated_by": "claude-sonnet", "llm_judge_score": 3}

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