DA0-002 Data Governance Practice Question
A financial analyst at a bank is preparing a report on loan default risks to the risk management committee. The committee includes both technical (quantitative analysts) and non-technical (business managers) members. The analyst has built a logistic regression model that outputs probability scores for default. The model's performance is good, but the committee wants to understand the key drivers of default. The analyst needs to communicate both the model's accuracy and the impact of each feature. The report should be concise and persuasive, leading to policy changes. What is the best approach?
⚠ Common exam trap
The trap here is that candidates often pick Option C (feature importance bar chart and coefficients) thinking it is the most direct way to show feature impact, but they overlook that coefficients are on the log-odds scale and not easily interpretable by non-technical managers, whereas a waterfall chart provides a concrete, additive explanation for a single prediction.
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
✓
Use a waterfall chart showing the impact of each feature on a sample prediction.
A waterfall chart visually decomposes a single prediction into the additive contributions of each feature, making it intuitive for both technical and non-technical stakeholders to see which factors drive default risk. This approach directly addresses the committee's need to understand key drivers while keeping the report concise and persuasive for policy changes, unlike abstract metrics or tables.
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 technical white paper.
Why it's wrong here
Too lengthy and not suitable for a live presentation.
- ✓
Use a waterfall chart showing the impact of each feature on a sample prediction.
Why this is correct
Intuitive visualization that explains contributions clearly to all audiences.
- ✗
Present a feature importance bar chart and a table of coefficients.
Why it's wrong here
Still technical; business managers may struggle with coefficients.
- ✗
Show the confusion matrix and AUC-ROC curve.
Why it's wrong here
Technical and may not be understood by non-technical members.
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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.