Module quiz: Creating Reports :Data Analysis and Visualization with Power BI (Microsoft Power BI Data Analyst Professional Certificate) Answers 2025
Question 1
True or False: While creating predictive visualizations in Power BI, you will use the Format, Data, and Analyze tabs in the Visualizations pane.
❌ True
✅ False
Explanation:
Predictive features like forecasting are accessed from the Analytics pane, not the Data section. Hence, the statement is incorrect.
Question 2
Which visualization is best for comparing many product categories with long labels?
✅ Bar chart
❌ Pie chart
❌ Line chart
❌ Column chart
Explanation:
Bar charts display labels horizontally, making them ideal for long or detailed category names.
Question 3
What are the key steps to create a Power BI report with visualizations?
✅ Connect to, transform, and load the data, create visualizations, and share the report
❌ Select a color scheme, design charts, and update the data regularly
❌ Build a data model, analyze the data, and present findings only
❌ Design charts, share reports, and collect feedback
Explanation:
The standard Power BI workflow includes data connection, transformation, visualization, and sharing.
Question 4
True or False: The main purpose of data visualization is to increase the amount of data collected.
❌ True
✅ False
Explanation:
Data visualization helps in understanding and communicating insights, not collecting more data.
Question 5
Which statement about using report space effectively is true?
❌ Chart type does not impact readability
✅ Treemap charts make more efficient use of space than pie charts
❌ Pie charts are more space-efficient than treemaps
❌ Both use the same space
Explanation:
Treemaps display hierarchical data efficiently, especially when space is limited.
Question 6
Which chart best represents daily closing stock prices over time?
❌ Area chart
✅ Line chart
❌ Pie chart
❌ Donut chart
Explanation:
Line charts are best for showing trends over time.
Question 7
Key differences between line & stacked column and line & clustered column charts
(Select all that apply)
❌ Clustered chart shows no trend
✅ Stacked column shows composition; clustered shows values side by side
✅ Line & clustered column charts can become cluttered with many categories
❌ Stacked charts cannot show negative values
Explanation:
Stacked charts focus on composition, while clustered charts focus on comparison.
Question 8
How can a funnel chart help understand a SaaS customer journey?
❌ Show social media engagement
❌ Display seasonal traffic trends
✅ Depict user drop-off at each stage of the journey
❌ Track stock market value
Explanation:
Funnel charts visualize conversion and drop-off between sequential stages.
Question 9
Which vehicles are outliers?
(Select all that apply)
❌ V5
✅ V6
✅ V7
✅ V10
Explanation:
-
V6 → unusually high fuel efficiency
-
V7 & V10 → unusually high engine power
These significantly deviate from the rest of the dataset.
Question 10
True or False: KPI visuals are essential for every organization, regardless of size or industry.
❌ True
✅ False
Explanation:
KPI visuals are use-case dependent and not mandatory for all organizations.
🧾 Summary Table
| Question | Correct Answer | Correct Option | Key Concept |
|---|---|---|---|
| Q1 | False | B | Power BI panes |
| Q2 | Bar chart | A | Long labels |
| Q3 | Full Power BI workflow | A | Report creation |
| Q4 | False | B | Purpose of visualization |
| Q5 | Treemap efficiency | B | Space utilization |
| Q6 | Line chart | B | Time-series data |
| Q7 | Composition & clutter | B, C | Combo charts |
| Q8 | Funnel drop-off analysis | C | Customer journey |
| Q9 | V6, V7, V10 | B, A, D | Outlier detection |
| Q10 | False | B | KPI usage |