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Artificial Intelligence - MCQ Quiz

Total questions: 30

Worksheet time: 15mins

Name
Class
Date
1.

AI agent perceives the environment using:

a)

Memory

b)

Sensors

c)

Actuators

d)

Programs

2.

Which is NOT an agent component?

a)

Sensors

b)

Actuators

c)

Environment

d)

Agent program

3.

The goal of an intelligent agent is to:

a)

Mimic humans

b)

Maximize performance measure

c)

Act randomly

d)

Store knowledge only

4.

Which of the following is PEAS?

a)

Performance, Environment, Actuators, Sensors

b)

Perception, Execution, Action, Strategy

c)

Program, Engine, Actuators, Sensors

d)

Problem, Execution, Action, State

5.

Example of an AI agent:

a)

Thermostat

b)

Blackboard

c)

Database

d)

Keyboard

6.

Rationality means:

a)

Acting without rules

b)

Acting to maximize expected outcome

c)

Acting human-like

d)

Acting unpredictably

7.

Which is an episodic environment?

a)

Image classification

b)

Chess

c)

Taxi driving

d)

Poker

8.

Which is a sequential environment?

a)

Medical diagnosis

b)

Image recognition

c)

Spam filtering

d)

Optical character recognition

9.

Chess is:

a)

Fully observable, deterministic

b)

Partially observable, stochastic

c)

Episodic, dynamic

d)

None of the above

10.

Stock market prediction is:

a)

Deterministic

b)

Stochastic

c)

Episodic

d)

Static

11.

Which agent acts only on current percept?

a)

Simple reflex agent

b)

Goal-based agent

c)

Utility-based agent

d)

Model-based agent

12.

Which uses internal state?

a)

Model-based agent

b)

Reflex agent

c)

Utility-based agent

d)

None

13.

Which agent considers goals before action?

a)

Goal-based agent

b)

Reflex agent

c)

Model-based agent

d)

Random agent

14.

Which agent evaluates happiness (utility)?

a)

Utility-based agent

b)

Reflex agent

c)

Goal-based agent

d)

None

15.

Which is NOT an agent architecture?

a)

Reflex

b)

Goal-based

c)

Utility-based

d)

Compiler

16.

Problem formulation includes:

a)

Initial state, actions, goal test, path cost

b)

Sensors, actuators, reflexes, memory

c)

Rules, facts, inference, search

d)

Database, queries, commands, responses

17.

Example of problem-solving agent:

a)

Google Maps

b)

Calculator

c)

Camera

d)

Remote

18.

Which is an example of single-agent environment?

a)

Crossword puzzle

b)

Chess

c)

Football

d)

Poker

19.

A multi-agent competitive environment is:

a)

Chess

b)

Spam filter

c)

OCR

d)

Calendar assistant

20.

Which is a cooperative multi-agent environment?

a)

Self-driving cars in traffic

b)

Chess

c)

Poker

d)

Image classifier

21.

Uninformed search is also called:

a)

Blind search

b)

Heuristic search

c)

Local search

d)

Guided search

22.

BFS uses:

a)

Queue

b)

Stack

c)

Priority queue

d)

None

23.

DFS uses:

a)

Queue

b)

Stack

c)

Priority queue

d)

Array

24.

Which search finds shortest path if step cost = 1?

a)

BFS

b)

DFS

c)

UCS

d)

Random

25.

Which search uses path cost for expansion?

a)

UCS

b)

BFS

c)

DFS

d)

Hill climbing

26.

Which is memory-efficient but non-optimal?

a)

DFS

b)

BFS

c)

UCS

d)

Bidirectional search

27.

Which uninformed search expands shallowest node first?

a)

BFS

b)

DFS

c)

UCS

d)

Random

28.

Iterative deepening search combines:

a)

DFS and BFS

b)

UCS and A*

c)

BFS and Hill climbing

d)

DFS and Random

29.

Which is complete and optimal if cost = 1?

a)

BFS

b)

DFS

c)

UCS

d)

Random

30.

Which is prone to infinite loops?

a)

DFS

b)

BFS

c)

UCS

d)

IDS