Computer Science & IT

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Computer Science & IT MCQ & Objective Questions

Computer Science & IT is a crucial subject for students preparing for school and competitive exams in India. Mastering this field not only enhances your understanding of technology but also significantly boosts your exam scores. Practicing MCQs and objective questions is an effective way to reinforce your knowledge and identify important questions that frequently appear in exams.

What You Will Practise Here

  • Fundamentals of Computer Science
  • Data Structures and Algorithms
  • Operating Systems Concepts
  • Networking Basics and Protocols
  • Database Management Systems
  • Software Engineering Principles
  • Programming Languages Overview

Exam Relevance

Computer Science & IT is an integral part of the curriculum for CBSE, State Boards, and competitive exams like NEET and JEE. Questions often focus on theoretical concepts, practical applications, and problem-solving skills. Common patterns include multiple-choice questions that test your understanding of key concepts, definitions, and the ability to apply knowledge in various scenarios.

Common Mistakes Students Make

  • Confusing similar concepts in data structures, such as arrays and linked lists.
  • Overlooking the importance of algorithms and their time complexities.
  • Misunderstanding the functions and roles of different operating system components.
  • Neglecting to practice coding problems, leading to difficulty in programming questions.
  • Failing to grasp the fundamentals of networking, which can lead to errors in related MCQs.

FAQs

Question: What are the best ways to prepare for Computer Science & IT exams?
Answer: Regular practice of MCQs, understanding key concepts, and reviewing past exam papers are effective strategies.

Question: How can I improve my problem-solving skills in Computer Science?
Answer: Engage in coding exercises, participate in study groups, and tackle a variety of practice questions.

Start your journey towards mastering Computer Science & IT today! Solve our practice MCQs to test your understanding and enhance your exam preparation. Remember, consistent practice is the key to success!

Q. What happens if the binary search algorithm is applied to an unsorted array?
  • A. It will still find the target
  • B. It will return an error
  • C. It may return incorrect results
  • D. It will sort the array first
Q. What happens if the element being searched for is not present in the array during a binary search?
  • A. It returns -1
  • B. It raises an error
  • C. It returns the last index
  • D. It returns None
Q. What happens if the middle element in binary search is equal to the target?
  • A. Search continues in the left half
  • B. Search continues in the right half
  • C. Target is found
  • D. Search fails
Q. What happens if the target value is not found in the array during binary search?
  • A. Returns the index of the closest value
  • B. Returns -1
  • C. Returns the last index
  • D. Throws an exception
Q. What happens if the target value is not present in the array during a binary search?
  • A. The search returns the index of the closest value
  • B. The search returns -1
  • C. The search continues indefinitely
  • D. The search throws an error
Q. What happens if the target value is not present in the array during binary search?
  • A. Returns the index of the closest value
  • B. Returns -1
  • C. Returns the last mid index
  • D. Infinite loop
Q. What happens if the target value is not present in the sorted array during a binary search?
  • A. The search will return the index of the closest value
  • B. The search will return -1
  • C. The search will enter an infinite loop
  • D. The search will throw an error
Q. What happens if you apply binary search on a linked list?
  • A. It works efficiently
  • B. It does not work
  • C. It works but is slower than on arrays
  • D. It requires additional data structures
Q. What happens if you apply binary search on a sorted array with duplicate elements?
  • A. It finds the first occurrence
  • B. It finds the last occurrence
  • C. It can find any occurrence
  • D. It fails
Q. What happens if you apply binary search on an array that is not sorted?
  • A. It will find the element correctly
  • B. It will not find the element
  • C. It may return an incorrect index
  • D. It will throw an error
Q. What happens if you apply binary search on an unsorted array?
  • A. It will always find the element
  • B. It may return incorrect results
  • C. It will sort the array
  • D. It will throw an error
Q. What happens if you apply DFS on a graph with cycles without tracking visited nodes?
  • A. It will terminate successfully.
  • B. It will enter an infinite loop.
  • C. It will throw an error.
  • D. It will only visit some nodes.
Q. What happens to the balance factor of an AVL tree after a node is deleted?
  • A. It remains unchanged.
  • B. It can become unbalanced.
  • C. It always becomes 0.
  • D. It can only increase.
Q. What happens to the balance factor of an AVL tree after a right rotation?
  • A. It increases.
  • B. It decreases.
  • C. It remains the same.
  • D. It becomes zero.
Q. What happens to the balance factor of an AVL tree after an insertion?
  • A. It remains unchanged.
  • B. It can become -2 or 2.
  • C. It can only be -1, 0, or 1.
  • D. It is always reset to 0.
Q. What happens to the balance factor of an AVL tree node after a right rotation?
  • A. It increases by 1.
  • B. It decreases by 1.
  • C. It remains the same.
  • D. It becomes zero.
Q. What happens to the search space in each iteration of binary search?
  • A. It doubles
  • B. It halves
  • C. It remains the same
  • D. It increases linearly
Q. What happens when a node is inserted into an AVL tree and it causes an imbalance?
  • A. The tree is deleted.
  • B. The tree is restructured using rotations.
  • C. The node is removed.
  • D. No action is taken.
Q. What happens when an AVL tree becomes unbalanced after an insertion?
  • A. It is deleted.
  • B. It is rotated to restore balance.
  • C. It is converted to a Red-Black tree.
  • D. Nothing happens.
Q. What happens when you insert a node into an AVL tree that causes it to become unbalanced?
  • A. The tree is deleted.
  • B. The tree is restructured and rebalanced.
  • C. The node is ignored.
  • D. The tree becomes a binary tree.
Q. What happens when you try to enqueue an element into a full queue?
  • A. The element is added
  • B. The queue overflows
  • C. An error is raised
  • D. The queue is resized
Q. What happens when you try to pop an element from an empty stack?
  • A. It returns null
  • B. It throws an exception
  • C. It returns the last element added
  • D. It does nothing
Q. What is 'data drift' in the context of deployed models?
  • A. Changes in the model architecture
  • B. Changes in the data distribution over time
  • C. Changes in the model's hyperparameters
  • D. Changes in the evaluation metrics
Q. What is 'discount factor' in reinforcement learning?
  • A. A measure of the agent's performance
  • B. A value that determines the importance of future rewards
  • C. A method for clustering actions
  • D. A technique for data normalization
Q. What is 'exploration' in the context of reinforcement learning?
  • A. Using known information to make decisions
  • B. Trying new actions to discover their effects
  • C. Evaluating the performance of the agent
  • D. Clustering similar actions
Q. What is a 'lexeme' in the context of lexical analysis?
  • A. The smallest unit of meaning in a programming language
  • B. The actual sequence of characters that matches a token
  • C. A type of syntax error
  • D. A representation of a variable in the symbol table
Q. What is a 'lexeme'?
  • A. The smallest unit of a program
  • B. A sequence of characters that matches a token
  • C. A type of syntax error
  • D. A part of the symbol table
Q. What is a common application of a stack in programming?
  • A. Managing function calls
  • B. Storing data in a linear fashion
  • C. Implementing a priority queue
  • D. Searching for elements
Q. What is a common application of arrays in programming?
  • A. Dynamic memory allocation
  • B. Implementing hash tables
  • C. Storing a fixed number of elements
  • D. Creating linked lists
Q. What is a common application of arrays in real-world scenarios?
  • A. Storing user data in a database
  • B. Implementing a stack data structure
  • C. Managing a list of items in a shopping cart
  • D. Creating a binary tree
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