Question 1
What is the primary goal of Artificial Intelligence?
1
To enhance computer processing speeds
2
To develop systems that simulate human intelligence processes
3
To replace all jobs currently performed by humans
4
To create systems that require human input to operate
Question 2
What is the difference between Narrow AI and General AI?
1
General AI performs specific tasks
2
General AI is currently in widespread use
3
Narrow AI performs specific tasks
4
Narrow AI has the capability to perform any intellectual task
Question 3
Which of the following best describes Narrow AI?
1
It can perform any intellectual task that humans can.
2
It has human-like reasoning and understanding.
3
It can learn and adapt like a human.
4
It is designed to perform specific tasks.
Question 4
Which of the following is a characteristic of General AI?
1
It can not learn and adapt.
2
It is widely used in real-world applications.
3
It can only perform one specific task.
4
It is capable of solving problems outside its pre-programmed tasks.
Question 5
Which of the following is an example of Narrow AI?
1
An AI system that can play chess at a world-class level
2
A machine that can understand and process all human languages
3
A robot that can clean your house autonomously
4
An AI that can think and reason like a human
Question 6
What is supervised learning?
1
A method where machines learn by trial and error
2
A method that requires no human interaction
3
Learning without labeled data
4
Learning with labeled data
Question 7
Which statement best differentiates Narrow AI and General AI?
1
General AI can solve specific problems, while Narrow AI can solve any intellectual problem.
2
General AI is currently widely used, whereas Narrow AI is still theoretical.
3
Narrow AI can only be used for games, while General AI is used for real-world applications.
4
Narrow AI is designed for a specific task, while General AI can handle any task like a human.
Question 8
In which year was the term "Artificial Intelligence" first coined?
1
1945
2
1956
3
1960
4
1995
Question 9
Which of the following is NOT a type of AI as defined by capabilities?
1
Narrow AI
2
Super AI
3
General AI
4
Supervised AI
Question 10
Which of the following is an example of General AI?
1
IBM's Watson
2
Siri
3
Google's AlphaGo
4
None of the above
Question 11
In Python, which library is commonly used for AI tasks such as Natural Language Processing (NLP)?
1
NLTK
2
SciPy
3
NumPy
4
Pandas
Question 12
Your AI system is making decisions based on incorrect historical data. What is the most likely cause?
1
Lack of data
2
Overfitting
3
Algorithm complexity
4
Data bias
Question 13
What is the first step in the problem-solving process in AI?
1
Define the problem
2
Implement the solution
3
Develop an algorithm
4
Test the solution
Question 14
Which AI technique involves breaking down a problem into smaller sub-problems?
1
Greedy algorithm
2
Heuristic search
3
Depth-first search
4
Divide and conquer
Question 15
What is the primary purpose of using a search algorithm in AI problem-solving?
1
To enhance the graphical display of the system
2
To randomly select possible solutions
3
To systematically explore possible actions to reach a goal
4
To store large datasets efficiently
Question 16
Which of the following is a disadvantage of using brute force search in AI?
1
It is not guaranteed to find a solution
2
It is computationally expensive
3
It requires domain-specific knowledge
4
It only works for small datasets
Question 17
What role does backtracking play in AI problem-solving?
1
It simplifies the problem
2
It avoids revisiting already explored paths
3
It is used to store solutions
4
It guarantees finding the optimal solution
Question 18
Which Python library can be used to visualize search algorithms applied to a problem?
1
Pandas
2
TensorFlow
3
matplotlib
4
Scikit-learn
Question 19
Which of the following would be considered an ethical concern in AI?
1
Low generalization error
2
Algorithmic bias in decision-making
3
High-dimensional feature extraction
4
Black-box model interpretation
Question 20
What is "catastrophic forgetting" in the context of neural networks?
1
Loss of weights due to vanishing gradients
2
Forgetting old knowledge when learning new information
3
Model convergence to a suboptimal solution
4
Overfitting to noise in training data
Question 21
The name of the Artificial Intelligence system developed by Daniel Bobrow was?
1
BACON
2
SIMD
3
STUDENT
4
None of the above
Question 22
Which of the following are appropriate levels for a knowledge-based AI agent?
1
Knowledge Level
2
Logical Level
3
Implementation Level
4
All of the above
Question 23
Which of the following are informed search methods?
1
Best First Search
2
A* Search
3
Memory Bound Heuristic Search
4
All of the above
Question 24
Which of the following are valid 3D image processing techniques?
1
Motion
2
Texture
3
Contour
4
All of the above
Question 25
Which of the following is not an application of artificial intelligence?
1
Database Management System
2
Natural Language Processing
3
Digital Assistants
4
Computer Vision
Question 26
Which of the following is the common language for Artificial Intelligence?
1
Python
2
C#
3
Java
4
Lisp
Question 27
Which of the following search method takes less memory space?
1
Best First Search
2
Depth First Search
3
Optimal Search
4
Linear Search
Question 28
Which of the following symbols in AI are logical symbols?
1
Negation
2
Conjunction
3
Implication
4
All of the above
Question 29
How would you implement the A* search algorithm for pathfinding in a graph?
1
Use recursion to explore all paths
2
Use a stack to store nodes
3
Use a simple list to store nodes
4
Use a priority queue to store nodes
Question 30
which algorithm would you use to solve a maze problem?
1
Linear search
2
Depth-first search
3
Binary search
4
Bubble sort