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WorksheetsTYCS AI Internal Exam
Total questions: 51
Worksheet time: 26mins
Which of the following best defines Artificial Intelligence?
Making computers faster
Making computers able to solve problems intelligently
Programming computers with random instructions
Making hardware more powerful
Who is considered the "Father of AI"?
Alan Turing
John McCarthy
Marvin Minsky
Geoffrey Hinton
The term "Artificial Intelligence" was first coined in which year?
1943
1950
1956
1965
Which of the following is NOT an application of AI?
Speech recognition
Machine translation
Arithmetic multiplication
Expert systems
Which test was proposed by Alan Turing to check machine intelligence?
Lovelace Test
Turing Test
CAPTCHA
IQ Test
The branch of AI concerned with reasoning using facts and rules is:
Machine learning
Knowledge representation
Robotics
Natural language processing
Which is an example of narrow AI?
Human-level AI
AlphaGo
Self-awareness in machines
Consciousness simulation
Which of the following is NOT a goal of AI?
Learn
Adapt
Reason
Random guessing
Which AI approach tries to mimic human brain processes?
Symbolic AI
Connectionist AI
Evolutionary computation
Genetic programming
The "state of the art" in AI refers to:
Artistic uses of AI
The most advanced technology available today
Theoretical AI from the 1950s
AI only in robotics
Which is the correct definition of an intelligent agent?
A machine that can move
Anything that perceives its environment and acts upon it
A software program that only stores data
Any human with a computer
The "percept" in an agent is:
The agent's action
The agent's perception of the environment at a given time
The agent's decision-making algorithm
The environment model
Which type of agent uses condition-action rules?
Reflex agent
Goal-based agent
Utility-based agent
Learning agent
Which of these is an example of a partially observable environment?
Chess
Poker
Sudoku
Crossword puzzles
In AI, PEAS stands for:
Performance, Environment, Actuators, Sensors
Performance, Execution, Actions, Strategy
Program, Environment, Actions, Sensors
Perception, Environment, Actuators, System
Which environment property describes a situation where the next state depends only on the current state and action?
Deterministic
Episodic
Stochastic
Static
Which agent architecture allows an agent to improve its performance over time?
Reflex
Learning agent
Utility-based
Rule-based
In a goal-based agent, decisions are made based on:
Predefined rules
Current percept
Desired goal state
Random choice
Which type of environment is fixed and does not change while the agent is thinking?
Dynamic
Static
Continuous
Stochastic
Which of the following is NOT a component of a problem definition in AI?
Initial state
Actions
Goal test
Hardware specification
A problem-solving agent searches for:
The environment's rules
A sequence of actions to reach the goal
A faster computer processor
The shortest program code
The set of all possible states reachable from the initial state is called:
Search space
State diagram
Path cost
Goal set
In AI problem-solving, a solution is:
Any random action sequence
A path from the initial state to a goal state
The largest possible search tree
The number of visited nodes
Which is a characteristic of well-defined problems?
Ambiguous goal state
Clear initial state, goal state, and actions
No performance measure
Randomness in state transitions
The water jug problem is an example of:
Continuous problem
Search problem
Optimization problem
Learning problem
In a search tree, the branching factor is:
The maximum number of children per node
The tree depth
The cost of a path
The number of leaves
Which of these is NOT an example of a search problem?
Route finding
Crossword puzzle
Speech synthesis
8-puzzle
Which data structure is typically used in BFS?
Stack
Queue
Priority queue
Tree
The term "explored set" in search algorithms means:
The set of nodes currently being expanded
The set of nodes already visited
The set of goal states
The set of possible actions
What is a solution in problem solving?
A question
A puzzle
A series of steps to reach the goal
A robot
Which of the following is not a component of a problem formulation in AI?
Initial state
Goal test
Search algorithm
Actions
What is the main difference between BFS and DFS?
BFS uses heuristics, DFS doesn't
BFS uses less memory
DFS uses less memory and explores deeper first
DFS is always better
Which of the following search strategies explores both directions from start and goal simultaneously?
Breadth-First Search
Depth-First Search
Bidirectional Search
Iterative Deepening Search
Iterative Deepening Search (IDS) combines the benefits of:
DFS and UCS
BFS and DFS
BFS and A*
DFS and Greedy Search
Which search strategy avoids revisiting the same state in the search tree?
DFS without memory
BFS with a closed list
UCS without a visited list
DFS with loops
In machine learning, supervised learning uses:
Only input data
Input-output pairs
Only output data
No data at all
Which of these is an example of classification?
Predicting house prices
Predicting weather as sunny or rainy
Finding shortest path in a graph
Maximizing profit
Which of the following is an informed search algorithm?
Depth-First Search
Breadth-First Search
A* Search
Uniform-Cost Search
A heuristic function in A search estimates:
The exact cost to the goal
The cost from the start node
The remaining cost to the goal
The total memory used
The evaluation function in A search is represented as:
f(n) = h(n)
f(n) = g(n) + h(n)
f(n) = g(n) × h(n)
f(n) = g(n) − h(n)
What does a heuristic do in search algorithms?
Ignores the goal
Estimates distance to the goal
Randomly selects nodes
Only finds shortest paths
What is the goal of heuristic search?
Find a path quickly
Explore all nodes
Use no memory
Avoid heuristics
Which search method uses heuristics to find the best path faster?
Depth-First Search
Breadth-First Search
A* Search
Uniform-Cost Search
Which algorithm is based on the idea of "nearest neighbors"?
KNN
Decision tree
Naive Bayes
SVM
Overfitting occurs when:
Model fits the training data too well but fails on new data
Model performs well on test data
Model under-learns the training data
Model generalizes perfectly
What is the full form of "AI"?
Artificially Intelligent
Artificial Intelligence
Artificially Intelligence
Advanced Intelligence
Which of the following is the branch of Artificial Intelligence?
Machine Learning
Cyber forensics
Full-Stack Developer
Network Design
Which of the following is not a type of Artificial Intelligence agent?
Learning AI agent
Goal-based AI agent
Simple reflex AI agent
Unity-based AI agent
Which depends on the percepts and actions available to the agent?
Agent
Sensor
Design problem
None of the mentioned
In AI, PEAS stands for:
Performance, Environment, Actuators, Sensors
Performance, Execution, Actions, Strategy
Program, Environment, Actions, Sensors
Perception, Environment, Actuators, System
Which of the following is a Search Algorithm?
BFS
DFS
A* Algorithm
All of the Above
