M.Tech AI & ML Artificial Intelligence Exam 2026/2027 –
Complete Exam Preparation Questions and Answers
with Rationales
SECTION A — AI FUNDAMENTALS & INTELLIGENT AGENTS
1. What is the primary goal of Artificial Intelligence?
A. To increase computer storage
B. To create systems capable of performing tasks requiring intelligent
behavior
C. To eliminate algorithms
D. To replace all databases
Answer: B
Rationale: AI focuses on building systems that can perceive, reason,
learn, communicate, and act to accomplish tasks associated with
intelligence.
2. Which definition best describes an intelligent agent?
A. A program that only stores information
B. An entity that perceives its environment and takes actions
C. A database management system
D. A computer processor
Answer: B
Rationale: An intelligent agent receives percepts through sensors and
acts on its environment through actuators.
3. Which component allows an agent to perceive its environment?
A. Actuator
B. Sensor
,C. Compiler
D. Optimizer
Answer: B
Rationale: Sensors provide the agent with information about its
environment.
4. Which component allows an agent to affect its environment?
A. Sensor
B. Actuator
C. Dataset
D. Feature extractor
Answer: B
Rationale: Actuators execute actions selected by the agent.
5. A rational agent chooses an action that:
A. Is always random
B. Maximizes expected performance based on available information
C. Minimizes the amount of data
D. Always follows a fixed rule
Answer: B
Rationale: Rationality means selecting actions expected to maximize
the agent's performance measure given its percept history and
knowledge.
6. What does PEAS stand for?
A. Performance, Environment, Actuators, Sensors
B. Processing, Evaluation, AI, Storage
C. Planning, Execution, Analysis, Search
D. Prediction, Encoding, Agents, Systems
,Answer: A
Rationale: PEAS describes an agent's Performance measure,
Environment, Actuators, and Sensors.
7. Which is an example of a fully observable environment?
A. Poker
B. Chess board with all pieces visible
C. Driving in dense fog
D. Medical diagnosis with incomplete information
Answer: B
Rationale: In a fully observable environment, the agent can access all
information relevant to determining the current state.
8. A stochastic environment is one in which:
A. Actions always have deterministic outcomes
B. Outcomes involve uncertainty
C. There are no states
D. No actions are possible
Answer: B
Rationale: Stochastic environments contain uncertainty in transitions
or observations.
9. An episodic environment is one where:
A. Current decisions depend heavily on every previous decision
B. Each episode can be considered largely independent
C. No actions occur
D. The agent has unlimited memory
Answer: B
Rationale: In episodic environments, experience can be divided into
relatively independent episodes.
, 10. A sequential environment is one where:
A. Current actions can affect future decisions and outcomes
B. Every decision is independent
C. No state exists
D. The agent cannot learn
Answer: A
Rationale: Sequential environments require consideration of long-term
consequences.
11. Which type of agent maintains an internal representation of the
world?
A. Simple reflex agent
B. Model-based agent
C. Random agent
D. Static agent
Answer: B
Rationale: Model-based agents maintain internal state representing
aspects of the environment.
12. A utility-based agent selects actions using:
A. A utility function
B. Only random numbers
C. File size
D. Database indexes
Answer: A
Rationale: Utility functions quantify preferences over possible
outcomes and support decision-making.
13. Learning agents improve primarily by:
Complete Exam Preparation Questions and Answers
with Rationales
SECTION A — AI FUNDAMENTALS & INTELLIGENT AGENTS
1. What is the primary goal of Artificial Intelligence?
A. To increase computer storage
B. To create systems capable of performing tasks requiring intelligent
behavior
C. To eliminate algorithms
D. To replace all databases
Answer: B
Rationale: AI focuses on building systems that can perceive, reason,
learn, communicate, and act to accomplish tasks associated with
intelligence.
2. Which definition best describes an intelligent agent?
A. A program that only stores information
B. An entity that perceives its environment and takes actions
C. A database management system
D. A computer processor
Answer: B
Rationale: An intelligent agent receives percepts through sensors and
acts on its environment through actuators.
3. Which component allows an agent to perceive its environment?
A. Actuator
B. Sensor
,C. Compiler
D. Optimizer
Answer: B
Rationale: Sensors provide the agent with information about its
environment.
4. Which component allows an agent to affect its environment?
A. Sensor
B. Actuator
C. Dataset
D. Feature extractor
Answer: B
Rationale: Actuators execute actions selected by the agent.
5. A rational agent chooses an action that:
A. Is always random
B. Maximizes expected performance based on available information
C. Minimizes the amount of data
D. Always follows a fixed rule
Answer: B
Rationale: Rationality means selecting actions expected to maximize
the agent's performance measure given its percept history and
knowledge.
6. What does PEAS stand for?
A. Performance, Environment, Actuators, Sensors
B. Processing, Evaluation, AI, Storage
C. Planning, Execution, Analysis, Search
D. Prediction, Encoding, Agents, Systems
,Answer: A
Rationale: PEAS describes an agent's Performance measure,
Environment, Actuators, and Sensors.
7. Which is an example of a fully observable environment?
A. Poker
B. Chess board with all pieces visible
C. Driving in dense fog
D. Medical diagnosis with incomplete information
Answer: B
Rationale: In a fully observable environment, the agent can access all
information relevant to determining the current state.
8. A stochastic environment is one in which:
A. Actions always have deterministic outcomes
B. Outcomes involve uncertainty
C. There are no states
D. No actions are possible
Answer: B
Rationale: Stochastic environments contain uncertainty in transitions
or observations.
9. An episodic environment is one where:
A. Current decisions depend heavily on every previous decision
B. Each episode can be considered largely independent
C. No actions occur
D. The agent has unlimited memory
Answer: B
Rationale: In episodic environments, experience can be divided into
relatively independent episodes.
, 10. A sequential environment is one where:
A. Current actions can affect future decisions and outcomes
B. Every decision is independent
C. No state exists
D. The agent cannot learn
Answer: A
Rationale: Sequential environments require consideration of long-term
consequences.
11. Which type of agent maintains an internal representation of the
world?
A. Simple reflex agent
B. Model-based agent
C. Random agent
D. Static agent
Answer: B
Rationale: Model-based agents maintain internal state representing
aspects of the environment.
12. A utility-based agent selects actions using:
A. A utility function
B. Only random numbers
C. File size
D. Database indexes
Answer: A
Rationale: Utility functions quantify preferences over possible
outcomes and support decision-making.
13. Learning agents improve primarily by:
