Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Chapter: 34
Q1041:
Which role checks the rules during validation phase?
A. Trainer
B. Validator
C. Critic
D. Teacher
Correct Answer:
C
Chapter: 34
Q1042:
What is a common output form of machine learning systems?
A. Image recognition
B. Classifiers
C. Graphs
D. Calculators
Correct Answer:
B
Chapter: 34
Q1043:
Which type of learning uses domain-independent knowledge?
A. Inductive learning
B. Rote learning
C. Deep learning
D. Heuristic learning
Correct Answer:
A
Chapter: 34
Q1044:
Machine learning training examples can come from which of the following sources?
A. Random internet data
B. Experiments only
C. Teacher, experiments, or real-world data
D. Only real-world data
Correct Answer:
C
Chapter: 34
Q1045:
Which of the following is true about inductive learning?
A. Starts with rules
B. Starts with examples
C. Always produces perfect results
D. Uses only expert systems
Correct Answer:
B
Chapter: 34
Q1046:
A fish is likely to be classified as one which does not have _______.
A. Fins
B. Scales
C. Lungs
D. Tails
Correct Answer:
C
Chapter: 34
Q1047:
Which attribute was the most useful in identifying fish in the given table?
A. Has fins
B. Has tail
C. Has lungs
D. Swims
Correct Answer:
C
Chapter: 34
Q1048:
What is the key distinction between deductive and inductive reasoning?
A. Uses logic vs uses statistics
B. Uses rules vs uses examples
C. Has input vs has output
D. Offline vs online
Correct Answer:
B
Chapter: 34
Q1049:
Which algorithm is an example of inductive learning?
A. Backpropagation
B. Version spaces
C. Alpha-beta pruning
D. A* search
Correct Answer:
B
Chapter: 34
Q1050:
In rote learning, how is performance improved?
A. By creating new knowledge
B. By memorizing examples
C. By removing old data
D. By increasing speed of computation
Correct Answer:
B
Chapter: 34
Q1051:
Which learning method does not involve any generalization?
A. Inductive learning
B. Rote learning
C. Deductive learning
D. Statistical learning
Correct Answer:
B
Chapter: 34
Q1052:
Deductive learning deduces new knowledge from ______.
A. Examples
B. New data
C. Old knowledge
D. Unknown patterns
Correct Answer:
C
Chapter: 34
Q1053:
If A = B and B = C, then C = A is an example of:
A. Inductive logic
B. Deductive logic
C. Neural logic
D. Statistical inference
Correct Answer:
B
Chapter: 34
Q1054:
Which learning process is used in systems that respond to unseen examples?
A. Generalization
B. Classification
C. Reasoning
D. Optimization
Correct Answer:
A
Chapter: 34
Q1055:
Which term refers to building a general description from concept examples?
A. Concept learning
B. Instance learning
C. Role mapping
D. Knowledge pruning
Correct Answer:
A
Chapter: 34
Q1056:
What is the purpose of ID3 algorithm?
A. Image detection
B. Game playing
C. Decision tree creation
D. Expert system creation
Correct Answer:
C
Chapter: 34
Q1057:
Concept learning often uses which kind of representation?
A. Vector sets
B. Attribute-value pairs
C. Matrices
D. Neural weights
Correct Answer:
B
Chapter: 34
Q1058:
A machine learning program that generalizes rules from situations is demonstrating ______.
A. rote learning
B. concept learning
C. deductive logic
D. expert systems
Correct Answer:
B
Chapter: 34
Q1059:
Learning "on the job" refers to overlap of _______ phases.
A. validation and testing
B. training and validation
C. training and application
D. application and reasoning
Correct Answer:
C
Chapter: 34
Q1060:
Which of the following is NOT an input to training in machine learning?
A. Measurements
B. Filtered examples
C. Noise
D. Stored rules
Correct Answer:
D