DA0-002 Data Governance Practice Question
A data analyst is presenting a weekly sales report to a diverse audience that includes sales managers, marketing team, and finance. The analyst wants to ensure the data is understood correctly. Which communication strategy is most effective?
⚠ Common exam trap
The trap here is that candidates may overvalue technical precision (Option D) or data completeness (Option C), forgetting that the primary goal is audience comprehension, not data exhaustiveness.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a slide deck with key insights and contextual explanations.
A slide deck with key insights and contextual explanations tailors the presentation to a diverse audience, ensuring that sales managers, marketing, and finance can each grasp the relevant data without being overwhelmed. This approach aligns with best practices for data communication, where visual summaries and narrative context improve comprehension over raw data or overly technical jargon.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a single complex chart to show all data at once.
Why it's wrong here
Complex charts can be overwhelming and hard to interpret.
- ✓
Create a slide deck with key insights and contextual explanations.
Why this is correct
Contextual explanations cater to different roles and improve understanding.
- ✗
Email the raw data table to all stakeholders.
Why it's wrong here
Raw data is difficult to digest without visualization.
- ✗
Use technical terms such as 'variance' and 'standard deviation'.
Why it's wrong here
Jargon may alienate non-technical audience.
Go deeper
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