MACHINE LEARNING EXAMINATION QUESTIONS AND
CORRECT ANSWER WITH EXPLANATION GRADED A+
STUDY GUIDE SOUTHERN HAMPSHIRE UNIVERSITY
1. Machine learning is a branch of:
A. Artificial Intelligence
B. Networking
C. Accounting
D. Hardware design
Answer: A
Rationale: ML is part of AI that enables systems to learn from data.
2. The main goal of machine learning is to:
A. Learn patterns from data
B. Store files
C. Design hardware
D. Encrypt networks
Answer: A
Rationale: ML focuses on pattern recognition and prediction.
3. Supervised learning uses:
A. Labeled data
B. Unlabeled data
C. Random data
D. No data
Answer: A
Rationale: Input-output pairs guide learning.
4. Unsupervised learning uses:
,A. Unlabeled data
B. Labeled data
C. Only images
D. Only text
Answer: A
Rationale: Finds hidden patterns without labels.
5. Reinforcement learning is based on:
A. Reward and punishment
B. Labels
C. Databases
D. Sorting
Answer: A
Rationale: Learning through feedback signals.
6. Classification is used to predict:
A. Categories
B. Continuous values
C. Files
D. Images only
Answer: A
Rationale: Outputs are discrete classes.
7. Regression is used to predict:
A. Continuous values
B. Categories
C. Text
D. Images
Answer: A
Rationale: Numeric prediction.
8. Overfitting occurs when:
, A. Model learns noise
B. Model is simple
C. Model has no data
D. Model is deleted
Answer: A
Rationale: Poor generalization.
9. Underfitting occurs when:
A. Model is too simple
B. Model is perfect
C. Model is complex
D. Model is trained
Answer: A
Rationale: Fails to learn patterns.
10. Training data is used to:
A. Train the model
B. Test the model
C. Delete data
D. Encrypt data
Answer: A
Rationale: Model learning phase.
11. Testing data is used to:
A. Evaluate model performance
B. Train model
C. Store data
D. Encrypt data
Answer: A
Rationale: Model evaluation.
12. Validation data is used to:
CORRECT ANSWER WITH EXPLANATION GRADED A+
STUDY GUIDE SOUTHERN HAMPSHIRE UNIVERSITY
1. Machine learning is a branch of:
A. Artificial Intelligence
B. Networking
C. Accounting
D. Hardware design
Answer: A
Rationale: ML is part of AI that enables systems to learn from data.
2. The main goal of machine learning is to:
A. Learn patterns from data
B. Store files
C. Design hardware
D. Encrypt networks
Answer: A
Rationale: ML focuses on pattern recognition and prediction.
3. Supervised learning uses:
A. Labeled data
B. Unlabeled data
C. Random data
D. No data
Answer: A
Rationale: Input-output pairs guide learning.
4. Unsupervised learning uses:
,A. Unlabeled data
B. Labeled data
C. Only images
D. Only text
Answer: A
Rationale: Finds hidden patterns without labels.
5. Reinforcement learning is based on:
A. Reward and punishment
B. Labels
C. Databases
D. Sorting
Answer: A
Rationale: Learning through feedback signals.
6. Classification is used to predict:
A. Categories
B. Continuous values
C. Files
D. Images only
Answer: A
Rationale: Outputs are discrete classes.
7. Regression is used to predict:
A. Continuous values
B. Categories
C. Text
D. Images
Answer: A
Rationale: Numeric prediction.
8. Overfitting occurs when:
, A. Model learns noise
B. Model is simple
C. Model has no data
D. Model is deleted
Answer: A
Rationale: Poor generalization.
9. Underfitting occurs when:
A. Model is too simple
B. Model is perfect
C. Model is complex
D. Model is trained
Answer: A
Rationale: Fails to learn patterns.
10. Training data is used to:
A. Train the model
B. Test the model
C. Delete data
D. Encrypt data
Answer: A
Rationale: Model learning phase.
11. Testing data is used to:
A. Evaluate model performance
B. Train model
C. Store data
D. Encrypt data
Answer: A
Rationale: Model evaluation.
12. Validation data is used to:
