DA0-002 Data Governance Practice Question
A healthcare data analyst is presenting findings on patient readmission rates to a group of hospital administrators. The analysis reveals a 15% increase in readmissions over the past quarter for patients aged 65+ from a specific zip code. However, the administrators are skeptical because previous quarterly reports showed no such trend, and they suspect data quality issues. The analyst must communicate this insight effectively while maintaining credibility. Which of the following approaches should the analyst take?
⚠ Common exam trap
It's easy for candidates to choose Option A, thinking statistical significance alone validates the finding, but the DA0-001 exam emphasizes that effective communication requires acknowledging and addressing stakeholder concerns about data quality, not just presenting numbers.
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
✓
Acknowledge the discrepancy and explain possible reasons such as changes in data collection methods or patient population
It demonstrates the core competency of 'Communicating Data Insights' by acknowledging the discrepancy between the current finding and previous reports, which builds trust with skeptical stakeholders. By explaining possible reasons such as changes in data collection methods or patient population, the analyst maintains credibility and invites collaborative investigation into data quality issues, rather than dismissing concerns or hiding details.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Emphasize the statistical significance of the finding and ignore previous reports
Why it's wrong here
Ignoring previous reports undermines credibility and does not address the audience's concerns.
- ✗
Present the data without any explanation and let them draw conclusions
Why it's wrong here
Without explanation, the audience may dismiss the finding due to the discrepancy.
- ✗
Remove the demographic detail to avoid controversy
Why it's wrong here
Removing details hides important insights and could be seen as dishonest.
- ✓
Acknowledge the discrepancy and explain possible reasons such as changes in data collection methods or patient population
Why this is correct
This approach maintains trust and provides context, making the insight more believable.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.