1. Question 1

Most accurate application of generative AI in data analytics:

• ❌ Filling missing data

• ❌ Musical compositions

• ❌ Image creation

• ✅ Generating coherent and context-appropriate text

Explanation:
In analytics, GenAI is mainly used for NLP tasks such as insights summarization.

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2. Question 2

How data analysts use GenAI for testing/development:

• ✅ Augment their datasets using synthetic data

• ❌ Game environments

• ❌ Simple text

• ❌ Medical images

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3. Question 3

GenAI tool for creating face recognition datasets:

• ❌ DataWrangler

• ❌ Tableau

• ❌ RapidMiner

• ✅ Nvidia’s StyleGAN2

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4. Question 4

Secure infrastructure for LLMs + data governance:

• ❌ Facebook Insights

• ❌ AiDIN

• ❌ DataRobot

• ✅ Palantir Artificial Intelligence Platform

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5. Question 5

Tool using data augmentation for ML model improvement:

• ❌ Haptik

• ❌ Facebook Insights

• ✅ DataRobot

• ❌ Palantir AIP

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6. Question 6

How GenAI enhances extraction of insights:

• ✅ Identifying hidden patterns and correlations

• ❌ Natural language queries

• ❌ Anomaly detection

• ❌ Narratives

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7. Question 7

GenAI enhancement for data preparation:

• ❌ Hypothesis generation

• ❌ Storytelling

• ❌ Natural language queries

• ✅ Identifying and correcting outliers

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8. Question 8

Definition of data augmentation:

• ✅ Artificially increasing dataset size by modifying existing data

• ❌ Generating stories

• ❌ Converting text to images

• ❌ Creating charts

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9. Question 9

GenAI tool to augment structured data:

• ❌ Imagen

• ❌ BigGAN

• ✅ CTGAN

• ❌ StyleGAN2

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10. Question 10

Prompt to generate:

SELECT AVG(AGE) FROM Boston_house_price

• ❌ Find age…

• ❌ What is the age…

• ❌ Update average age…

• ✅ What is the average age in Boston data set?

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11. Question 11

Tool to augment image datasets with realistic high-resolution images:

• ❌ GauGAN

• ❌ Imagen

• ❌ CTGAN

• ✅ StyleGAN2

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12. Question 12

Feature analyzing all pairs of attributes:

• ❌ Describe

• ❌ Multivariate

• ❌ Univariate

• ✅ Bivariate

(Pair plots are bivariate: two variables at a time)

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13. Question 13

Visualization to verify outliers:

• ❌ Annotation

• ❌ Histograms

• ❌ Color coding

• ✅ Generate box plots

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14. Question 14

Prompt generating:

SELECT COUNT(*) FROM Boston_house_prices

• ❌ Sum of rows

• ❌ Total sum of prices

• ✅ What is the count of rows?

• ❌ Count of columns

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15. Question 15

Embeddable analytics conversational chat service:

• ❌ Tableau Pulse

• ❌ Crystal

• ✅ ThoughtSpot Sage

• ❌ Analytics Chatbot

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16. Question 16

Model consideration technique improving interpretability:

• ❌ Imaging data

• ❌ Perpetuate biases

• ❌ Manipulative inputs

• ✅ Feature attribution

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17. Question 17

Organizational challenge with GenAI:

• ❌ Continuous learning

• ❌ Data quality

• ❌ Risk aversion

• ✅ Change management

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18. Question 18

Python-based interactive dashboard tool with LLM integration:

• ✅ Dash

• ❌ ThoughtSpot

• ❌ Akkio

• ❌ Tableau AI

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19. Question 19

Storytelling aspect explaining relevance to goals:

• ✅ Contextualization

• ❌ Logical organization

• ❌ Anecdote

• ❌ Visualization

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20. Question 20

Copilot feature enabling correlations & new Excel formulas:

• ❌ Model generation

• ❌ Drafting

• ❌ Presentation creation

• ✅ Natural language queries

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🧾 Summary Table

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