DEA-C01 · Question #196
A data engineer is using Amazon QuickSight to build a dashboard to report a company's revenue in multiple AWS Regions. The data engineer wants the dashboard to display the total revenue for a…
The correct answer is C. Create a level-aware calculation - aggregate (LAC-A) function. A Level-Aware Calculation - Aggregate (LAC-A) function in Amazon QuickSight computes an aggregation (e.g., SUM of revenue) at a fixed, specified dimension level (e.g., Region) regardless of how the visual is currently drilled down. This means even if a user drills into city or…
Question
A data engineer is using Amazon QuickSight to build a dashboard to report a company's revenue in multiple AWS Regions. The data engineer wants the dashboard to display the total revenue for a Region, regardless of the drill-down levels shown in the visual. Which solution will meet these requirements?
Options
- ACreate a table calculation.
- BCreate a simple calculated field.
- CCreate a level-aware calculation - aggregate (LAC-A) function.
- DCreate a level-aware calculation - window (LAC-W) function.
How the community answered
(43 responses)- A7% (3)
- B2% (1)
- C77% (33)
- D14% (6)
Explanation
A Level-Aware Calculation - Aggregate (LAC-A) function in Amazon QuickSight computes an aggregation (e.g., SUM of revenue) at a fixed, specified dimension level (e.g., Region) regardless of how the visual is currently drilled down. This means even if a user drills into city or store level, the LAC-A still returns the total for the Region - exactly what is required. Option A (table calculation) is computed after visual aggregation and is affected by the current drill-down level. Option B (simple calculated field) is computed before aggregation and cannot maintain a fixed dimension level. Option D (LAC-W) is a window function for calculations like running totals or rank across a dimension, not for holding a fixed aggregation level.
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