Module 2 Graded Quiz: Use of Generative AI for Data Analytics :Generative AI: Enhance your Data Analytics Career (IBM Data Analyst Professional Certificate) Answers 2025
1. Question 1
Function used to generate statistical information about data:
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✅ describe()
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❌ info()
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❌ read()
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❌ print()
Explanation:df.describe() provides summary statistics such as mean, std, min, max, percentiles.
2. Question 2
Which statistical analysis can be run on any single selected attribute?
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❌ histplot
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❌ multivariate
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✅ univariate
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❌ bivariate
Explanation:
Univariate analysis examines one variable at a time.
3. Question 3
Feature of ChatGPT used in dashboard creation:
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❌ Generates visual representation
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❌ Intelligent recommendations
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✅ Provides natural language interaction
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❌ Automates repetitive tasks
Explanation:
ChatGPT helps create dashboards by interpreting natural language instructions.
4. Question 4
Tool that auto-cleans inconsistencies and provides auto-analysis + GDPR/PDPA compliance:
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❌ Dash
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❌ ChatGPT
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✅ DataSquirrel
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❌ Sisense
5. Question 5
Storytelling tool that converts text docs, PDFs, or URLs into slides:
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❌ ChatGPT
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❌ Akkio Reports
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❌ Bard
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✅ DesignerBot
6. Question 6
Aspect of storytelling that explains why the data matters:
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✅ Contextualization
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❌ Data visualization
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❌ Logical organization
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❌ Discussions
7. Question 7
Ethical technique to check for potential biases (finance industry):
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❌ Interpretability
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❌ Encryption
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❌ Optimization
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✅ Fairness metrics
8. Question 8
Customer purchase history, market trends, product specs fall under:
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❌ Model consideration
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❌ Logical consideration
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✅ Data consideration
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❌ Ethical consideration
9. Question 9
Inaccurate or illogical AI-generated information is called:
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✅ AI hallucination
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❌ AI bias
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❌ Explainability
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❌ Interpretability
10. Question 10
High cost + heavy compute needs for GenAI models is a:
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❌ Organizational
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❌ Cultural
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❌ Ethical
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✅ Technical challenge
🧾 Summary Table
| Q | Correct Answer | Key Concept |
|---|---|---|
| 1 | describe() | Summary statistics |
| 2 | univariate | Single-variable analysis |
| 3 | Natural language interaction | ChatGPT capability |
| 4 | DataSquirrel | Auto-cleaning + dashboard tool |
| 5 | DesignerBot | Convert text/PDF to slides |
| 6 | Contextualization | Storytelling relevance |
| 7 | Fairness metrics | Ethical bias checking |
| 8 | Data consideration | Input data relevance |
| 9 | AI hallucination | Incorrect AI outputs |
| 10 | Technical challenge | Computation demands |