Introduction to Problem Solving and Algorithms Quiz - CBSE Class 11 Computer Science

Free practice quiz: Introduction to Problem Solving and Algorithms (CBSE Class 11 Computer Science). 19 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

This CBSE Class 11 Computer Science practice quiz has 19 multiple-choice questions on Introduction to Problem Solving and Algorithms, and 19 of them come with an explanation. Try the 5 sample questions below (tap an option to check yourself), then play the full quiz online. No sign-up needed.

Sample questions

1. What is an algorithm?

   1. A type of computer hardware
   2. A step-by-step procedure to solve a problem
   3. A programming language
   4. A type of software
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   Answer: B. A step-by-step procedure to solve a problem

   An algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation.

2. What is a flowchart?

   1. A type of programming language
   2. A diagram that represents an algorithm
   3. A type of computer hardware
   4. A type of software
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   Answer: B. A diagram that represents an algorithm

   A flowchart uses symbols to visually represent the steps and logic of an algorithm.

3. Explain the difference between efficiency and correctness of an algorithm.

   1. Efficiency refers to speed, correctness refers to accuracy
   2. Efficiency refers to memory usage, correctness refers to speed
   3. Both refer to accuracy
   4. Both refer to speed
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   Answer: A. Efficiency refers to speed, correctness refers to accuracy

   An algorithm can be correct but inefficient (slow or uses excessive memory). Efficiency focuses on resource usage, while correctness ensures it produces the right results.

4. Explain the concept of Big O notation in relation to algorithm efficiency.

   1. It describes the space complexity of an algorithm
   2. It describes the time complexity of an algorithm
   3. It describes the programming language used
   4. It describes the hardware required
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   Answer: B. It describes the time complexity of an algorithm

   Big O notation provides an upper bound on the growth rate of an algorithm's runtime as the input size increases.

5. How does the complexity of an algorithm affect its scalability?

   1. It has no effect
   2. Higher complexity algorithms scale better
   3. Lower complexity algorithms scale better
   4. It depends on the programming language
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   Answer: C. Lower complexity algorithms scale better

   Algorithms with lower time and space complexity perform better as the input size grows, making them more scalable.

More questions in this quiz

Answers and explanations are in the full quiz.

1. What is the first step in problem-solving?
2. What does 'debugging' mean in programming?
3. What is pseudocode?
4. Which of the following is NOT a common step in algorithm design?
5. What is the purpose of testing an algorithm?
6. What is a 'control structure' in an algorithm?
7. Describe the concept of recursion in algorithm design.
8. What is the difference between linear and binary search?
9. What is a greedy algorithm?
10. What is dynamic programming?
11. Explain the difference between divide and conquer and dynamic programming.
12. Describe the concept of a heuristic algorithm and when it might be used.
13. Compare and contrast the time complexities of different sorting algorithms (e.g., bubble sort, merge sort, quick sort).
14. Analyze the trade-offs between different algorithm design paradigms (e.g., greedy, divide and conquer, dynamic programming) in solving a specific problem like the knapsack problem.

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