DA0-002 Data Governance Practice Question
A data analyst needs to communicate findings to a non-technical audience that is concerned with overall performance but not interested in details. Which approach is best?
⚠ Common exam trap
The trap here is that candidates may overestimate the audience's technical comfort and choose raw data or jargon, forgetting that the question explicitly states the audience is 'non-technical' and 'not interested in details.'
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
✓
Provide a summary dashboard with key KPIs
A summary dashboard with key KPIs is best because it distills complex data into visual, high-level metrics that non-technical stakeholders can quickly grasp. This approach aligns with the principle of data storytelling, where the focus is on actionable insights rather than technical details. Dashboards using tools like Tableau or Power BI allow for interactive filtering without overwhelming the audience.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Provide a summary dashboard with key KPIs
Why this is correct
A summary dashboard with key KPIs matches the non-technical audience's need for overall performance without granular detail. Aggregated visual indicators surface trends immediately, avoiding raw tables or statistical nuance that would obscure the message. This directly satisfies the stem's constraint of communicating findings at an executive level rather than an analytical one.
- ✗
Include complex model outputs
Why it's wrong here
Complex model outputs expose coefficients, feature weights and diagnostics that a non-technical audience cannot translate into overall performance. It is tempting because the model produced the findings, and it would be correct when the audience comprises data scientists who need to validate methodology and assumptions.
- ✗
Share raw data tables
Why it's wrong here
Raw data tables expose every row and column, forcing a non-technical audience to interpret figures themselves instead of seeing overall performance. It is tempting because tables are the analyst's source of truth, and sharing them would be correct for a technical peer who needs to verify or re-analyse the underlying data.
- ✗
Use detailed statistical jargon
Why it's wrong here
Statistical jargon obscures the performance message, alienating listeners who lack the vocabulary to follow significance levels or confidence intervals. It is tempting because precise terminology demonstrates analytical rigour, and it would be correct when presenting to a specialist audience that expects and understands those terms.
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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.