Courses
Courses for Kids
Free study material
Offline Centres
More
Store Icon
Store

Important Questions and Answers for Class 11 Computer Science Chapter 4 Introduction to Problem Solving 2025-26

ffImage
banner
widget title icon
Latest Updates

Introduction to Problem Solving Class 11 Questions and Answers for Exam Preparation

Important Questions Class 11 Computer Science Chapter 4 Introduction to Problem Solving is a key resource for school exam preparation. 


You will find Vedantu’s Important Questions with Answers, focusing on Class 11 Computer Science Chapter 4 Introduction to Problem Solving Solutions. The questions cover all major concepts, types, and patterns likely to appear in the exams. Use them to understand what examiners look for in answers.


Practice now and download the free Important Questions for Class 11 Computer Science with answers PDF. Be ready and confident for your CBSE school exams.


Introduction to Problem Solving Class 11 Questions and Answers for Exam Preparation

1. Multiple choice questions.


Q1. Which of the following best defines an algorithm?


  • (a) Step-by-step method for solving a problem
  • (b) A programming language
  • (c) A type of computer
  • (d) A computer game

Answer: (a) Step-by-step method for solving a problem.


Q2. Which is NOT a characteristic of a good algorithm?


  • (a) Finiteness
  • (b) Ambiguity
  • (c) Input
  • (d) Output

Answer: (b) Ambiguity.


Q3. What does GIGO stand for in the context of computers?


  • (a) Good In Good Out
  • (b) Garbage In Garbage Out
  • (c) Go In Go Out
  • (d) Get In Get Out

Answer: (b) Garbage In Garbage Out.


Q4. Which shape in a flowchart represents a decision?


  • (a) Rectangle
  • (b) Parallelogram
  • (c) Diamond
  • (d) Oval

Answer: (c) Diamond.


2. Very Short Answer (VSA).


Q1. Define problem solving in computer science.


Answer: Problem solving is the process of identifying a problem, developing an algorithm for it, and implementing that algorithm as a program on a computer.


Q2. What is pseudocode?


Answer: Pseudocode is a way to describe algorithms using simple, human-readable statements, not tied to any programming language, for easy understanding.


Q3. Name two common representations for algorithms.


Answer: The two common representations for algorithms are flowcharts and pseudocode.


Q4. State one benefit of using high-level languages.


Answer: High-level languages are portable and easier to write, read, and maintain than low-level languages.


Q5. What is the origin of the term 'Algorithm'?


Answer: The term 'Algorithm' is traced to the Persian mathematician Al-Khwarizmi, whose name was Latinized as 'Algorithmi'.


3. Short Answer Questions.


Q1. Explain the concept of decomposition in problem solving.


Answer: Decomposition involves breaking down a complex problem into smaller, simpler sub-problems, which can be solved individually. These solutions are then combined to address the main problem. This approach, often called 'divide and conquer', makes problem solving manageable and organized.


Q2. List any three characteristics of a good algorithm and explain each in one line.


Answer:

  • Precision: Every step is clearly defined.
  • Finiteness: The algorithm ends after a certain number of steps.
  • Output: It generates a result for valid inputs.


Q3. What are the uses of flowcharts in algorithm representation?


Answer: Flowcharts provide a visual representation of algorithm steps, using symbols and arrows to show flow of control. They make logic clear, help detect errors, and are easy for others to understand and review.


Q4. Why is verification of algorithms important? Give a reason.


Answer: Verification ensures the algorithm behaves as required for different inputs, helping to identify errors or missing steps so that the final program produces correct and reliable results.


4. Long Answer Questions.


Q1. Discuss the steps involved in solving a problem using a computer, using a real-life example.


Answer: Solving a problem using a computer involves several steps. First, analyze and clearly understand the problem. Next, develop an algorithm that outlines the solution in a stepwise manner. Then, convert the algorithm into code using a programming language. The code is tested and debugged for errors. After full validation, it’s implemented and maintained in real-world use. For instance, online railway reservation: understanding booking needs, designing the algorithm, programming it, rigorously testing, and updating as requirements change.

  1. Analyze the problem and identify requirements
  2. Develop an algorithm
  3. Translate into code (programming)
  4. Test, debug, and verify
  5. Maintain and update as needed


Q2. Compare time complexity and space complexity in context of algorithms and provide an example illustrating their importance.


Answer: Time complexity refers to how much computational time an algorithm takes, while space complexity is the amount of memory it uses. For example, finding if a number is prime: checking all divisors (higher time) versus checking up to its square root (lower time). Both factors help choose efficient algorithms, especially for large datasets.

  1. Time complexity affects program speed
  2. Space complexity affects required memory
  3. Efficient algorithms save resources


4. True or False Questions.


Q1. A flowchart is a type of diagram used to represent algorithms visually.


Answer: True


Q2. The syntax of a programming language does not affect how a program runs.


Answer: False


Q3. The maintenance stage in software is never needed after the program is delivered to users.


Answer: False


Q4. Conditionals are used in algorithms to make decisions based on certain criteria.


Answer: True


5. Match the Following Questions.


Q1. Match the following algorithm concepts with their correct descriptions:


Questions Answer
1. Flowchart (A) Visual representation of an algorithm
2. Finiteness (B) Algorithm must have a definite end
3. Pseudocode (C) Human-readable steps of algorithm

Answer: 1 - A, 2 - B, 3 - C


Q2. Match the pairs related to flowchart symbols:


Questions Answer
1. Diamond (A) Decision
2. Parallelogram (B) Input/Output
3. Rectangle (C) Process

Answer: 1 - A, 2 - B, 3 - C


Why Learning Problem Solving is Essential for Class 11 Computer Science?

Consistent practice of Introduction to Problem Solving Class 11 Questions and Answers develops strong foundations for coding and software design. Download topic-wise PDFs and detailed solutions to sharpen your analytical and computational skills for better results.


With these Important Questions for Class 11 Computer Science with answers PDF Download, you can prepare for every exam typology. Understand the difference between algorithms, flowcharts, and decomposition to tackle even complex questions confidently in CBSE board exams.


CBSE Class 11 Computer Science Chapter-wise Important Questions



Additional Study Materials for Class 11 Computer Science

FAQs on Important Questions and Answers for Class 11 Computer Science Chapter 4 Introduction to Problem Solving 2025-26

1. What are the most important questions from Class 11 Computer Science Chapter 4 Introduction to Problem Solving for exams?

The key questions include definitions of problem solving steps, differences between algorithms and flowcharts, short notes on flow of control, steps to analyse problems, and real-life case-based scenarios. Focus on MCQs, short answers, and high-weightage long questions from the NCERT exercises and CBSE sample papers.

2. How should I frame long answers for Chapter 4 to get full step marks as per CBSE?

Start by stating the definition or concept directly. Then, structure your answer using:

  • Clear headings for each point
  • Relevant examples or diagrams
  • Use keywords like ‘algorithm’, ‘flowchart’, and ‘stepwise’
Underline command words. Each point should earn marks as per marking scheme.

3. Which subtopics in Introduction to Problem Solving should I revise first for maximum marks?

Focus on steps of problem solving, types of flow charts, advantages and limitations of algorithms, and flow of control. These areas are often assigned higher marks in board papers and are asked as both short and long answer questions.

4. How can I practice diagrams and flowcharts for this chapter efficiently?

Practice by following these steps:

  1. Redraw NCERT sample flowcharts neatly
  2. Label each symbol clearly
  3. Revise flowchart conventions and uses
  4. Attempt previous year diagram questions
Correct labeling and neat presentation are essential for scoring full marks.

5. Are the PDF important questions with answers enough for NCERT/CBSE exam revision?

PDFs with Class 11 Computer Science Chapter 4 important questions and answers cover all main topics as per CBSE exam pattern. However, always cross-check with your latest syllabus and attempt extra questions from NCERT for thorough practice. Use PDFs for focused revision and sample patterns.

6. What marking keywords should I use in answers to Introduction to Problem Solving questions?

Include key terms like ‘algorithm’, ‘flowchart’, ‘problem definition’, ‘flow of control’, and ‘stepwise’. For each answer, underline command words and highlight important phrases. This helps examiners spot value points quickly and can increase your marks.

7. What are common mistakes students make in answering important questions from this chapter?

Typical errors are:

  • Missing keywords
  • Unlabeled diagrams
  • Skipping example-based explanations
  • Writing long introductions without direct answers
To avoid losing marks, be direct, add diagrams where asked, and follow the mark scheme closely.