DA0-002 Data Governance Practice Question
A data analyst is preparing a data storytelling presentation for a non-technical audience. Which THREE techniques are most effective for communicating insights?
⚠ Common exam trap
A common mix-up: candidates confuse 'data completeness' with 'effective communication,' selecting raw data tables (Option B) thinking they provide transparency, when in fact they hinder comprehension for non-technical stakeholders.
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
✓
Using relevant visuals such as charts and graphs.
Data storytelling for non-technical audiences relies on visuals like charts and graphs to make complex data patterns immediately understandable, reducing cognitive load and enabling faster insight absorption. Effective visuals should be simple, clearly labeled, and directly tied to the narrative, avoiding clutter that could confuse 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.
- ✓
Using relevant visuals such as charts and graphs.
Why this is correct
Visuals make data more accessible and memorable.
- ✗
Including raw data tables for reference.
Why it's wrong here
Raw data tables are difficult for non-technical audiences to interpret and distract from the story.
- ✗
Adding complex statistical terms to demonstrate expertise.
Why it's wrong here
Complex jargon alienates non-technical audiences and obscures the message.
- ✓
Highlighting the most important finding with annotations.
Why this is correct
Annotations guide the audience to the key takeaway.
- ✓
Using a clear narrative with a beginning, middle, and end.
Why this is correct
A narrative structure helps the audience follow and remember the insights.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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