DAA-C01 · Question #36
DAA-C01 Question #36: Real Exam Question with Answer & Explanation
The correct answer is A: Enhanced data accuracy. Filtering and editing techniques in dashboards directly improve data accuracy (A) by removing irrelevant, duplicate, or erroneous records before they influence visual outputs, and they improve data relevancy (C) by surfacing only the data that matters to the specific audience or
Question
When customizing data presentations in dashboards using filtering and editing techniques, what advantages do these methods offer? (Select all that apply)
Options
- AEnhanced data accuracy
- BLimited data exploration
- CImproved data relevancy
- DSimplified data representation
Explanation
Filtering and editing techniques in dashboards directly improve data accuracy (A) by removing irrelevant, duplicate, or erroneous records before they influence visual outputs, and they improve data relevancy (C) by surfacing only the data that matters to the specific audience or decision at hand - both are well-established benefits of customization workflows.
B (Limited data exploration) is wrong because filtering expands meaningful exploration by narrowing noise, not restricting insight - users can drill into subsets they couldn't easily analyze in raw form. D (Simplified data representation) is a distractor because filtering and editing don't inherently simplify how data is displayed; they refine what data appears, not how it's structured visually.
Memory tip: Think "ACFR" - filtering and editing are ACtion tools that boost Accuracy and Currency/Relevancy. Any answer suggesting limitations (B) or cosmetic simplification (D) mischaracterizes what these techniques fundamentally do.
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