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Artificial Intelligence and Computing MCQs

Practice Artificial Intelligence and Computing multiple-choice questions for ScholarBee competitive exams. Each question includes the correct answer and a short explanation, and past-paper questions are marked so you can revise both repeated and fresh material in one place.

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When a model performs well on training data but fails to generalize to new, unseen data
When a model is too simple to learn the underlying pattern
When a computer has too much memory
When an algorithm processes data too quickly
ExplanationOverfitting occurs when a model captures 'noise' in the training data rather than the actual signal, leading to poor performance on test data.
Physical Layer
Data Link Layer
Network Layer
Transport Layer
ExplanationThe Network Layer (Layer 3) handles logical addressing and routing, allowing data to travel across interconnected networks.
K-Means Clustering
Principal Component Analysis
Linear Regression
Apriori Algorithm
ExplanationLinear regression is a supervised learning algorithm used to predict a continuous outcome based on labeled training data.
Receiving raw data input
Generating the final output label
Performing intermediate computations and feature transformations
Storing the long-term history of user interactions
ExplanationHidden layers perform non-linear transformations on inputs to extract features that help the network solve complex problems.
Atomic, Consistent, Isolated, Durable
Automated, Centralized, Indexed, Distributed
Accessible, Compiled, Integrated, Data-driven
Aligned, Calculated, Informed, Decisive
ExplanationACID is a set of properties that guarantee database transactions are processed reliably.
Depth-First Search
Breadth-First Search
A* Search
Dijkstra's Algorithm
ExplanationBFS traverses a graph or tree by visiting all neighbors at the current depth before moving to nodes at the next depth level.
To interpret code line-by-line during runtime
To translate high-level source code into machine-executable code
To store data in a non-volatile format
To connect the CPU to the memory units
ExplanationA compiler converts entire programs into machine code before execution, whereas an interpreter performs this line-by-line.
Encapsulation
Inheritance
Polymorphism
Compilation
ExplanationThe four main pillars of OOP are Encapsulation, Inheritance, Polymorphism, and Abstraction. Compilation is a general computer science process.
Increased dependency on local hardware
Lower barrier to entry for scaling resources on-demand
Elimination of the need for internet access
Reduced data privacy regulations
ExplanationCloud computing allows users to scale computational resources up or down quickly without needing to manage physical server hardware.
Constant time complexity
Logarithmic time complexity
Linear time complexity
Exponential time complexity
ExplanationO(n) indicates that the execution time grows directly in proportion to the size of the input.

Frequently Asked Questions

Are these Artificial Intelligence and Computing MCQs free?

Yes. Every Artificial Intelligence and Computing MCQ on this page is free to practice, including the correct answer and explanation.

Do these include past-paper questions?

Yes — questions sourced from past papers are clearly marked with a "Past Paper" badge, alongside fresh practice questions.

Which exams do these Artificial Intelligence and Computing MCQs help with?

They are aimed at ScholarBee and related Pakistani competitive exams that test Artificial Intelligence and Computing.

How should I practice subject-wise MCQs?

Attempt each question first, then reveal the answer and read the explanation. Short, focused sessions on one subject work better than long unstructured reading.

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