DA0-002 Data Governance Practice Question
While reviewing a dashboard, an analyst notices that the data in a trend line chart does not match the underlying data due to a filter setting. The dashboard is used for weekly executive meetings. What should the analyst do?
⚠ Common exam trap
It's easy for candidates to assume small discrepancies are acceptable or that waiting for complaints is a valid approach, but the exam emphasizes proactive data integrity and the importance of maintaining accurate visualizations for scheduled stakeholder meetings.
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
✓
Document the issue and fix the filter before the next meeting.
The analyst has identified a data integrity issue caused by a filter setting that directly impacts the accuracy of the trend line chart. The dashboard is used for weekly executive meetings, so the analyst must document the discrepancy and correct the filter before the next meeting to ensure data-driven decisions are based on accurate visualizations. This aligns with best practices in data governance and the principle of maintaining trust in reporting tools.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ignore the discrepancy if it is small.
Why it's wrong here
A filter misconfiguration produces figures that misrepresent the underlying data, so the analyst must correct the filter before the executive meeting rather than tolerate the variance. Ignoring small discrepancies is tempting when the gap looks immaterial, and would be acceptable only if the chart were exploratory and not decision-driving.
- ✗
Wait for someone to complain before acting.
Why it's wrong here
Waiting for complaints leaves known inaccurate figures in front of executives, breaching the analyst's duty to validate and remediate reporting defects proactively. Waiting is tempting when the analyst doubts their authority over the dashboard, and would be defensible only if the discrepancy were unconfirmed and outside their remit.
- ✗
Immediately remove the dashboard and send raw data.
Why it's wrong here
Removing the dashboard and sending raw data destroys the curated view executives rely on and shifts interpretation onto them, whereas the filter setting itself needs correcting. Removal is tempting as a way to prevent misleading figures, and would be right if the dashboard were fundamentally unreliable beyond repair.
- ✓
Document the issue and fix the filter before the next meeting.
Why this is correct
The filter misconfiguration corrupts the trend line, so executives would review inaccurate figures. Documenting the discrepancy preserves an audit trail, and correcting the filter restores data integrity before the weekly meeting, satisfying the need for trustworthy reporting.
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