Computer Science
Multiple Choice
Questions
(MCQs) – Sets 31
with Detailed Explanations
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SET 31 – Computer Science MCQs
✅ No repetition from Sets 1–30
✅ 10 completely new questions
✅ Each explanation
Level: Class 9–10 / Beginners
1. What is machine learning?
A. Manual programming
B. Computer repair
C. AI that learns from data
D. Internet service
✅ Correct Answer: C
Explanation:
Machine learning is a branch of artificial intelligence that enables computers to learn from data and improve performance without being explicitly programmed. It is used in spam detection, recommendation systems, and image recognition. Machine learning helps systems adapt and make predictions based on patterns.
2. What is supervised learning?
A. Learning without data
B. Learning with labeled data
C. Learning without rules
D. Manual learning
✅ Correct Answer: B
Explanation:
Supervised learning is a type of machine learning where the model is trained using labeled data. Each input has a correct output, helping the system learn relationships. Examples include email spam classification and predicting exam scores based on previous data.
3. What is unsupervised learning?
A. Learning with teacher
B. Learning with labeled data
C. Learning from unlabeled data
D. Manual coding
✅ Correct Answer: C
Explanation:
Unsupervised learning works with data that has no labels. The system identifies patterns or groups on its own. It is used in customer segmentation, data clustering, and pattern discovery. This approach helps analyze large data sets without predefined outputs.
4. What is deep learning?
A. Shallow learning
B. Manual analysis
C. Machine learning using neural networks
D. Database system
✅ Correct Answer: C
Explanation:
Deep learning is a subset of machine learning that uses artificial neural networks with many layers. It is highly effective in tasks like speech recognition, image processing, and self-driving cars. Deep learning models learn complex patterns from large amounts of data.
5. What is a neural network?
A. Network cable
B. Internet service
C. Model inspired by human brain
D. Database table
✅ Correct Answer: C
Explanation:
A neural network is a computational model inspired by the human brain. It consists of layers of connected nodes that process data. Neural networks are used in image recognition, natural language processing, and voice assistants to make intelligent decisions.
6. What is data training?
A. Data deletion
B. Teaching model using data
C. Data transfer
D. Data storage
✅ Correct Answer: B
Explanation:
Data training is the process of teaching a machine learning model by providing large amounts of data. The model learns patterns and relationships during training. Proper training improves accuracy and performance in real-world applications like predictions and classifications.
7. What is model testing?
A. Data entry
B. Software installation
C. Evaluating model performance
D. Hardware testing
✅ Correct Answer: C
Explanation:
Model testing evaluates how well a trained machine learning model performs on new, unseen data. It helps measure accuracy, reliability, and effectiveness. Testing ensures that the model generalizes well and does not just memorize training data.
8. What is natural language processing (NLP)?
A. Language teaching
B. Database system
C. AI that understands human language
D. Network protocol
✅ Correct Answer: C
Explanation:
Natural Language Processing enables computers to understand, interpret, and respond to human language. It is used in chatbots, voice assistants, and translation apps. NLP helps bridge the gap between human communication and computer understanding.
9. What is computer vision?
A. Computer repair
B. Network system
C. AI that interprets images and videos
D. Text processing
✅ Correct Answer: C
Explanation:
Computer vision is a field of AI that enables computers to analyze and understand images and videos. It is used in facial recognition, medical imaging, and security systems. Computer vision helps machines “see” and make decisions based on visual data.
10. What is automation?
A. Manual work
B. Human control only
C. Use of technology to perform tasks automatically
D. Internet browsing
✅ Correct Answer: C
Explanation:
Automation is the use of technology to perform tasks with minimal human involvement. It improves efficiency, accuracy, and productivity. Examples include automatic manufacturing systems, chatbots, and smart home devices that operate independently.
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