1. Question 1

Which option refers to technologies that mimic human cognitive functions?

• ❌ Deep learning

• ✅ Artificial intelligence

• ❌ Natural language processing

• ❌ Machine learning

Explanation:
Artificial intelligence (AI) is the broad field focused on mimicking human-like intelligence.

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2. Question 2

Which technology analyzes data, learns from it, and makes predictions?

• ✅ Machine learning

• ❌ Robotics

• ❌ Natural language processing

• ❌ Expert systems

Explanation:
Machine learning models learn patterns from data and make predictions/decisions.

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3. Question 3

What is generative AI?

• ✅ AI that produces new content (text, images, audio, etc.)

• ❌ AI that understands emotions

• ❌ AI that makes decisions

• ❌ AI that has consciousness

Explanation:
Generative AI creates new, original content based on learned patterns.

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4. Question 4

How do data analytics/BI differ from AI/ML?

• ❌ Used by small vs. large companies

• ❌ BI uses automation; AI requires human intervention

• ❌ BI predicts future; AI processes historical

• ✅ BI analyzes past trends; AI/ML uses data to make future decisions.

Explanation:
Analytics is backward-looking; AI/ML is predictive and decision-driven.

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5. Question 5

AI replacing rule-based systems – example?

• ❌ Predict search ranking

• ❌ Develop new product

• ❌ Replace humans in life-or-death situations

• ❌ Train autonomous drones
  ➡️ NONE of these are rule-based simplification examples
  But the closest rule-based replacement is:

• ✅ Training a machine learning model to predict a search result ranking.

Explanation:
Ranking results replaces static rules with AI-based pattern learning.

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6. Question 6

Which ML solution powers YouTube recommendations?

• ✅ Personalized recommendations

• ❌ Content moderation

• ❌ Video transcription

• ❌ Clickbait detection

Explanation:
Recommendation systems use ML to suggest content based on viewing behavior.

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7. Question 7

Which shows ML processing natural language?

• ❌ Image segmentation

• ✅ Identifying topic & sentiment of customer emails

• ❌ Identifying artist or genre

• ❌ Detecting people/objects in video

Explanation:
Sentiment and topic analysis is NLP — understanding human language.

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8. Question 8

Which data quality dimension means conforming to standards (type, format)?

• ❌ Uniqueness

• ❌ Consistency

• ✅ Validity

• ❌ Accuracy

Explanation:
Validity ensures data matches expected rules, formats, and types.

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9. Question 9

What does consistency refer to in data quality?

• ❌ No duplicates

• ❌ Up-to-date

• ❌ All required info present

• ✅ Data is uniform and not contradictory

Explanation:
Consistent data doesn’t conflict across sources or fields.

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10. Question 10

Which is one of Google’s AI principles?

• ❌ Operational excellence

• ❌ AI should create unfair bias

• ❌ AI for surveillance

• ✅ Google makes tools that empower others to harness AI for benefit

Explanation:
Google emphasizes responsible, beneficial use of AI.

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🧾 Summary Table

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