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TCS iON Career Edge – AI Foundation Assessment Answers

1. Which scenario does NOT use Machine Learning?
A) Voice assistants understanding commands
B) Movie recommendations on streaming platforms
C) Face unlock feature on smartphones
D) A calculator performing fixed arithmetic operations

Correct Answer: D) A calculator performing fixed arithmetic operations


2. Language translation tools like Google Translate use which technology?
A) Only storing words in different languages
B) Manually converting each word
C) NLP to understand and translate meaning between languages
D) Only working with numbers

Correct Answer: C) NLP to understand and translate meaning between languages


3. What is the key advantage of supervised learning?
A) It works without any data
B) It always gives perfect predictions
C) It does not require training
D) It can learn from past labeled data to make accurate predictions

Correct Answer: D) It can learn from past labeled data to make accurate predictions


4. What is the difference between classification and regression?
A) Classification predicts numbers, regression predicts categories
B) Classification predicts categories, regression predicts continuous values
C) Both predict only categories
D) Both work without data

Correct Answer: B) Classification predicts categories, regression predicts continuous values


5. Which type of learning groups users without predefined labels?
A) Supervised Learning
B) Reinforcement Learning
C) Unsupervised Learning
D) Deep Learning

Correct Answer: C) Unsupervised Learning


6. Why does deep learning perform well on complex tasks?
A) It uses no data
B) It can learn complex patterns through multiple layers
C) It only follows fixed rules
D) It avoids training

Correct Answer: B) It can learn complex patterns through multiple layers


7. What is the purpose of weights in a neural network?
A) To store images
B) To remove errors completely
C) To determine how strongly each input influences the final output
D) To increase internet speed

Correct Answer: C) To determine how strongly each input influences the final output


8. A self-driving car detecting pedestrians and obstacles is an example of:
A) Text generation
B) Image and object detection
C) Data storage
D) Spreadsheet analysis

Correct Answer: B) Image and object detection


9. How does an LLM generate a sentence?
A) By copying complete sentences from memory
B) By translating every word manually
C) It generates one token at a time based on context
D) By selecting random words

Correct Answer: C) It generates one token at a time based on context


10. Why do LLMs require large datasets?
A) To increase file size
B) To learn diverse language patterns and contexts
C) To avoid training
D) To store user passwords

Correct Answer: B) To learn diverse language patterns and contexts


11. How is Generative AI different from traditional AI?
A) It only analyzes existing data
B) It removes all human input
C) It generates new content instead of just analyzing data
D) It cannot learn patterns

Correct Answer: C) It generates new content instead of just analyzing data


12. What happens with High Temperature + High Top-p settings?
A) More controlled output
B) More diverse but less controlled output
C) No output generation
D) Only factual answers

Correct Answer: B) More diverse but less controlled output


13. Which prompt specifies the required format?
A) Write something about AI
B) Explain AI
C) 3 bullet points
D) Tell me about technology

Correct Answer: C) 3 bullet points


14. “Write a short story about space exploration” is an example of:
A) Data analysis
B) Content generation
C) Classification
D) Translation

Correct Answer: B) Content generation


15. “Explain your answer step by step” is an example of:
A) Role-based prompting
B) Chain-of-thought prompting
C) Image prompting
D) Data labeling

Correct Answer: B) Chain-of-thought prompting


16. Which is the best example of role-based prompting?
A) Explain AI
B) Write a paragraph
C) Act as a school teacher and explain climate change to a 12-year-old in simple terms
D) Summarize this text

Correct Answer: C) Act as a school teacher and explain climate change to a 12-year-old in simple terms


17. Which prompt has better quality?
A) Explain AI
B) Tell me technology
C) Explain AI in simple terms for beginners with one real-life example
D) AI meaning

Correct Answer: C) Explain AI in simple terms for beginners with one real-life example


18. AI collecting personal data without informing the user violates:
A) Accuracy
B) Privacy
C) Speed
D) Automation

Correct Answer: B) Privacy


19. An AI hiring system shows regional bias. What should be the first action?
A) Ignore the issue
B) Delete the system
C) Investigate the model for bias and retrain with balanced data
D) Increase the model speed

Correct Answer: C) Investigate the model for bias and retrain with balanced data


20. Why should AI systems be regularly updated and patched?
A) To make them slower
B) To fix security vulnerabilities and defend against emerging threats
C) To remove all features
D) To stop learning

Correct Answer: B) To fix security vulnerabilities and defend against emerging threats

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