problem solving techniques mcq questions

• Create A Quiz
• Relationship
• Personality
• Harry Potter
• Online Exam
• Entertainment
• Training Maker
• Survey Maker
• Brain Games
• ProProfs.com

Problem Solving Quizzes, Questions & Answers

Top trending quizzes.

Popular Topics

Recent quizzes.

Artificial Intelligence MCQ – Problem-Solving Agents

Here are 25 multiple-choice questions (MCQs) related to Artificial Intelligence, focusing specifically on Problem-Solving Agents. Each question includes four options, the correct answer, and a brief explanation. These MCQ questions cover various aspects of AI problem-solving agents, including algorithms, search strategies, optimization techniques, and problem-solving methods, providing a comprehensive overview of this area in AI.

1. What is the primary objective of a problem-solving agent in AI?

Explanation:.

A problem-solving agent is designed to find a sequence of actions that leads from the initial state to a goal state, solving a specific problem or achieving a set goal.

2. In AI, a heuristic function is used in problem-solving to:

A heuristic function is used to guide the search process by providing an educated guess about the cost to reach the goal from each node, thus helping to efficiently reduce the search space.

3. Which algorithm is commonly used for pathfinding in AI?

The A* Algorithm is widely used for pathfinding and graph traversal. It efficiently finds the shortest path between two nodes in a graph, combining the features of uniform-cost search and greedy best-first search.

4. What is "backtracking" in AI problem-solving?

Backtracking involves going back to previous states and trying different actions when the current path does not lead to a solution, allowing for exploring alternative solutions.

5. The "branch and bound" technique in AI is used to:

Branch and bound is an algorithmic technique used for solving various optimization problems. It systematically enumerates candidate solutions by branching and then uses a bounding function to eliminate suboptimal solutions.

6. Which of the following is a characteristic of a depth-first search algorithm?

Depth-first search explores as far as possible along each branch before backtracking, going deep into a search tree before exploring siblings of earlier nodes.

7. In AI, "constraint satisfaction problems" are typically solved using:

Constraint satisfaction problems, where a set of constraints must be met, are commonly solved using backtracking algorithms, which incrementally build candidates to the solutions and abandon candidates as soon as they determine that the candidate cannot possibly be completed to a valid solution.

8. The primary goal of "minimax" algorithm in AI is:

The minimax algorithm is used in decision-making and game theory to minimize the possible loss for a worst-case scenario. When dealing with gains, it seeks to maximize the minimum gain.

9. What is "state space" in AI problem-solving?

The state space in AI problem-solving refers to the set of all possible states that can be reached from the initial state by applying a sequence of actions. It is often represented as a graph.

10. In AI, "pruning" in the context of search algorithms refers to:

Pruning in search algorithms involves eliminating paths that are unlikely to lead to the goal or are less optimal, thus reducing the search space and improving efficiency.

11. The "traveling salesman problem" in AI is an example of:

The traveling salesman problem is a classic optimization problem in AI and computer science, where the goal is to find the shortest possible route that visits a set of locations and returns to the origin.

12. "Greedy best-first search" in AI prioritizes:

Greedy best-first search is a search algorithm that prioritizes nodes that seem to be leading to a solution the quickest, often using a heuristic to estimate the cost from the current node to the goal.

13. In AI, "dynamic programming" is used to:

Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. It is used when the subproblems are overlapping and the problem exhibits the properties of optimal substructure.

14. The "Monte Carlo Tree Search" algorithm in AI is widely used in:

Monte Carlo Tree Search (MCTS) is an algorithm used for making decisions in some kinds of game-playing, particularly where it is impractical to search all possible moves due to the complexity of the game.

15. What does an "admissible heuristic" in AI guarantee?

An admissible heuristic is one that never overestimates the cost to reach the goal. In heuristic search algorithms, using an admissible heuristic guarantees finding an optimal solution.

16. The concept of "hill climbing" in AI problem solving is similar to:

Hill climbing in AI is a mathematical optimization technique which belongs to the family of local search. It is used to solve computational problems by continuously moving in the direction of increasing elevation or value.

17. The "no free lunch theorem" in AI implies that:

The "no free lunch" theorem states that no one algorithm works best for every problem. It implies that each problem needs to be approached uniquely and that there's no universally superior method.

18. In AI, "means-ends analysis" is a technique used in:

Means-ends analysis is a problem-solving technique used in AI that involves breaking down the difference between the current state and the goal state into smaller and smaller differences, then achieving those smaller goals.

19. The "Pigeonhole principle" in AI is used to:

In AI and mathematics, the Pigeonhole principle is used to prove that a solution exists under certain conditions. It states that if n items are put into m containers, with n > m, then at least one container must contain more than one item.

20. "Simulated annealing" in AI is inspired by:

Simulated annealing is an optimization algorithm that mimics the process of annealing in metallurgy. It involves heating and controlled cooling of a material to increase the size of its crystals and reduce their defects.

21. In AI, the "Bellman-Ford algorithm" is used for:

The Bellman-Ford algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted graph. It's particularly useful for graphs where edge weights may be negative.

22. What is the primary function of "Alpha-Beta pruning" in AI?

Alpha-Beta pruning is a search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree. It is used in game playing to prune away branches that cannot possibly influence the final decision.

23. The "Hungarian algorithm" in AI is best suited for solving:

The Hungarian algorithm, a combinatorial optimization algorithm, is used for solving assignment problems where the goal is to assign resources or tasks to agents in the most effective way.

24. In problem-solving, "depth-limited search" is used to:

Depth-limited search is a modification of depth-first search, where the search is limited to a specific depth. This prevents the algorithm from going down infinitely deep paths and helps manage the use of memory.

25. "Bidirectional search" in AI problem solving is used to:

Bidirectional search is an efficient search strategy that runs two simultaneous searches: one forward from the initial state and the other backward from the goal, stopping when the two meet. This approach can drastically reduce the amount of required exploration.

Related MCQ (Multiple Choice Questions) :

Artificial intelligence mcq – agents, artificial intelligence mcq – natural language processing, artificial intelligence mcq – partial order planning, artificial intelligence mcq – expert systems, artificial intelligence mcq – fuzzy logic, artificial intelligence mcq – neural networks, artificial intelligence mcq – robotics, artificial intelligence mcq – rule-based system, artificial intelligence mcq – semantic networks, artificial intelligence mcq – bayesian networks, artificial intelligence mcq – alpha beta pruning, artificial intelligence mcq – text mining, leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Class 6 Maths
• Class 6 Science
• Class 6 Social Science
• Class 6 English
• Class 7 Maths
• Class 7 Science
• Class 7 Social Science
• Class 7 English
• Class 8 Maths
• Class 8 Science
• Class 8 Social Science
• Class 8 English
• Class 9 Maths
• Class 9 Science
• Class 9 Social Science
• Class 9 English
• Class 10 Maths
• Class 10 Science
• Class 10 Social Science
• Class 10 English
• Class 11 Maths
• Class 11 Computer Science (Python)
• Class 11 English
• Class 12 Maths
• Class 12 English
• Class 12 Economics
• Class 12 Accountancy
• Class 12 Physics
• Class 12 Chemistry
• Class 12 Biology
• Class 12 Computer Science (Python)
• Class 12 Physical Education
• GST and Accounting Course
• Excel Course
• Tally Course
• Finance and CMA Data Course
• Payroll Course

Interesting

• Learn English
• Learn Excel
• Learn Tally
• Learn GST (Goods and Services Tax)
• Learn Accounting and Finance
• GST Tax Invoice Format
• Accounts Tax Practical
• Tally Ledger List
• GSTR 2A - JSON to Excel

Are you in school ? Do you love Teachoo?

We would love to talk to you! Please fill this form so that we can contact you

You are learning...

Chapter 4 Class 11 - Introduction to Problem Solving

Click on any of the links below to start learning from Teachoo ...

Do you want to learn how to  solve problems  using computers? Do you want to develop your  logical thinking  and  programming skills ? Do you want to explore the fascinating world of  algorithms  and  data structures ? If you answered yes to any of these questions, then this chapter is for you! 🙌

In this chapter, you will learn about the basic concepts and techniques of problem solving using computers. You will learn how to:

• Define a problem and its specifications 📝
• Analyze a problem and identify its inputs, outputs and processing steps 🔎
• Design an algorithm to solve a problem using various methods such as pseudocode, flowcharts and decision tables 📊
• Implement an algorithm using a programming language such as Python 🐍
• Test and debug your program to ensure its correctness and efficiency 🛠️
• Evaluate your solution and compare it with other possible solutions 💯

By the end of this chapter, you will be able to apply your problem solving skills to various domains such as mathematics, science, engineering, games, art and more. You will also be able to appreciate the beauty and elegance of algorithms and data structures, and how they can help you solve complex and challenging problems. 😍

This chapter is designed for students who have some basic knowledge of computers and programming, but want to improve their problem solving abilities. It is also suitable for anyone who is interested in learning more about computer science and its applications. 🚀

MCQ questions (1 mark each)

True or false questions (1 mark each), fill in the blanks questions (1 mark each), very short answer type questions (1 mark each), short answer type questions (2 marks each), long answer type questions (3 marks each).

What's in it?

Hi, it looks like you're using AdBlock :(

Please login to view more pages. it's free :), solve all your doubts with teachoo black.

1000+ Problem Solving MCQ Questions and Answers - 1

• engineering-questions

Question: 1

The maximum length of the data variable can hold is called

(A) header file

(B) length of a variable

(C) field width of a variable

(D) width of a variable

field width of a variable

Question: 2

The program created with the help of an editor is called

(A) source program or source code

(B) linking

(C) source program

(D) object program

source program or source code

Question: 3

Which of the following is easier to be transformed into a computer program?

(A) algorithm

(B) flow chart

(C) pseudo code

(D) none of these

pseudo code

Question: 4

The function printf() is used to print any combination of

(A) character

(C) string, number and character

string, number and character

Question: 5

The use of structure tags allow the structure to be

(A) separate from the constant declaration

(B) separate from the constant declaration

(C) separate from the variable declaration

(D) with the variable declaration

separate from the variable declaration

Model MCQ Online Test

Error Report!

• mechanical measurements
• 1000+ Problem Solving MCQ Questions and Answers
• 1000+ Problem Solving Quiz Questions and Answers Pdf

REGISTER TO GET FREE UPDATES

2024 © MeritNotes

Problem Solving MCQ Set 1

Question: Tom, Dick and Harry went for lunch to a restaurant. Tom had $100 with him, Dick had $60 and Harry had $409. They got a bill for $104 and decided to give a tip of $16. They further decided to share the total expenses in the ratio of the amounts of money each carried. The amount of money which Tom paid more than what Harry paid is

Correct Answer: E

Explanation:

Explanation under process. It will be available soon.

Question: A plot of land is in the shape of a trapezium whose dimensions are given in the figure below :

• None of the above

Correct Answer: C

Question: Four concentric ( having the same center ) circles with radii, x, 2x, 3x and 4x are drawn to form two rings A and B as shown in the figure.

Correct Answer: D

Question: If 3/p = 6 and 3/q = 15 then p - q = ?

Question: A father is three times as old as his son. After fifteen years the father will be twice as old as his son's age at that time. Hence the father's present age is

Explanation under process. It will be available soon.div>

Question: (1/4) 3 + (3/4) 3 + 3(1/4)(3/4)(1/4 + 3/4) =?

All MCQ Answers

Show/Hide All Answers

Video Lessons and 10 Fully Explained Grand Tests

Large number of solved practice MCQ with explanations. Video Lessons and 10 Fully explained Grand/Full Tests.

Current Menu

Main menu (click/tap to open), more for you, sentence equivalence.

Learn to crack Sentence Equivalence section of the test

Argument Analysis

Learn to have higher score in writing section Argument Analysis

ISSB Direction Sens Questions

Learn about ISSB Direction Sens Questions to deal with

You may be interested in

College of excellence for girls - hydrabad.

A popular name in colleges of Hydra ...

Colleges in Islamabad

A comprehensive list of major colle ...

Colleges in Sialkot

A list of major colleges in the cit ...

Colleges in cities of Balochistan

Comprehensive lists of colleges in ...

Study in Australian - Schools

Get school education in Australia. ...

International Issues

A list of Essays on International I ...

Business School Admission Process

A detailed discussion about how you ...

MS in USA for International Student

Calculate your chances to have MS D ...

ISSB Coding Decoding Questions

All about to learn ISSB Coding Deco ...

PPSC - Assistant District Public Prosecutor Exam

Learn about the exam of PPSC - Assi ...

GRE: Graduate Record Examination

Know what is GRE - Geeneral test an ...

GRE Physics

Find what is GRE Physics and how to ...

Social Science Universities

List of universities in the field o ...

Universities in Bahawalpur

A list of major universities in Bah ...

NMCH - MBBS

Nishtar Medical College and Hospita ...

SAU: B.E Agriculture engineering

SAU: Sindh Agriculture University B ...

EntryTest.com is a test preparation service for students seeking successful career.

About Disclaimer

Quick Test Prep

NUST NET IBA Karachi SAT LUMS LCAT LSE

NTS GAT NTS NAT GMAT GRE ACT

Study Abroad

Education Abroad Business Schools MS in USA

For Solo Learner Computer science

Algorithm and flowchart multiple choice questions and answers (mcqs).

Home » Computer Science MCQs Sets » Algorithm and Flowchart Multiple Choice Questions And Answers (MCQs)

When practicing Algorithm Flowchart and Control Structure multiple-choice questions (MCQs), students should focus on the following aspects:

1. Understanding concepts:

2. syntax and notation:, 3. identifying correct solutions:, 4. analyzing code behavior:, 5. problem-solving skills:, 6. time complexity and efficiency:.

By practicing these aspects, students can develop a strong foundation in algorithm flowcharts and control structures, which are essential for understanding and designing efficient algorithms. Additionally, practicing MCQs helps students improve their analytical and problem-solving skills, which are valuable in various programming and algorithmic scenarios.

Algorithm and Flowcharts MCQs Set-1

This Algorithm and Flowcharts MCQs contains a carefully curated selection of objective questions, as well as multiple choice questions with answers, sourced from reputable reference Read More »

Algorithm and Flowcharts MCQs Set-2

This Algorithm and Flowcharts MCQs contains a carefully curated selection of objective questions, as well as multiple choice questions with answers, sourced from reputable reference books, university exams, and question papers. These resources are invaluable for individuals preparing for university exams,competitive exams and interviews

Algorithm and Flowcharts MCQs Set-3

Algorithm and flowcharts mcqs set-4, algorithm and flowcharts mcqs set-5, algorithm and flowcharts mcqs set-6, algorithm and flowcharts mcqs set-7, algorithm and flowcharts mcqs set-8.

Copyright © 2024 | ExamRadar. | Contact Us | Copyright || Terms of Use || Privacy Policy

• 7 Great Advantages Of Choosing Real Device Testing For Mobile Applications

How to Leverage Machine Learning to Enhance Your Expertise and Career

• Why Get the Experts’ Cloud Services in Maine?

MCQ on Scripting Documents in Client Side JavaScript set-7

Mcq on scripting documents in client side javascript set-6.

• How to Quickly and Easily Loop Through JavaScript Arrays?
• Is Social Media Making You Depressed? Exploring the Dangers of Tech Addiction
• How Effective Email Marketing Will Boost Your Business Growth
• X (Twitter)

Top 20 MCQ Questions on Problem-Solving in AI

1. State whether the following statements about defining the problem are True or False. i) A problem will define a state space that contains all the possible configurations of relevant objects. ii) A problem will specify a set of rules that describe the actions available. A. i-True, ii-False B. i-False, ii-True C. i-True, ii-True D. i- False, ii-False

2. … provides the frameworks into which more direct methods for solving sub-parts of a problem, can be embedded. A. Search B. Problem C. State D. State Space

4. State whether the following statements about the state space are True. i) A state-space forms a graph in which the nodes are states and the arch between nodes are actions. ii) In state space, a path is a sequence of states connected by a sequence of actions. A. i-only B. ii-only C. Both i and ii D. None of the above

5. A production system consists of i) A set of rules. ii) One or more databases. iii) A Control Strategy A. i and ii only B. ii and iii only C. i and iii only D. All i, ii and iii

6. … specifies the order in which the rules will be compared to the database. A. A set of rules B. A control strategy C. One or more knowledge D. A rule applier

8. Which of the following are the benefits of the production system? i) Production systems provide an excellent tool for structuring AI programs. ii) The individual rules can be added, removed, or modified independently. iii) The production rules are expressed in a natural form. A. i and ii only B. ii and iii only C. i and iii only D. All i, ii and iii

9. In… the application of a rule never prevents the later application of another rule. A. monolithic production system B. commutative production system C. fully commutative production system D. bitonic production system

10. … is a production system that is both monotonic and partially commutative. A. monolithic production system B. commutative production system C. fully commutative production system D. bitonic production system

12. State whether the following statements about the uninformed search control strategy are True or False. i) It does not have additional information about states beyond problem definition. ii) In an uninformed search control strategy, the total search space is looked for a solution. iii) Best first search and problem decomposition are examples of uninformed search control strategies. A. i-True, ii-False, iii-True B. i-False, ii-True, iii-True C. i-True, ii-True, iii-False D. i- False, ii-False, iii-False

13. In… the search generates all nodes a particular level before proceeding to the next level to the tree. A. depth-first search techniques B. breadth-first search techniques C. iterative deepening search techniques D. heuristic search techniques

14. … does not guarantee to find a solution and backtracking is required if the wrong path is selected. A. depth-first search techniques B. breadth-first search techniques C. iterative deepening search techniques D. heuristic search techniques

15. State whether the following statements in the heuristic search techniques are True or False. i) It can be used to limit the search process. ii) Special-purpose heuristics exploit domain-specific knowledge. A. i-True, ii-False B. i-False, ii-True C. i-True, ii-True D. i- False, ii-False

16. … search algorithm is a very simple algorithm that guarantees to find a solution if done systematically and there exists a solution. A. Generate-and-Test B. Simple Hill Climbing C. Steepest-Ascent Hill Climbing D. Simulated Annealing

17. … is often used when a good heuristic function is available for evaluating states but when no useful knowledge is available. A. Generate-and-Test B. Simple Hill Climbing C. Steepest-Ascent Hill Climbing D. Simulated Annealing

18. … algorithm considers all the moves from the current state and selects the best one as the next state. A. Generate-and-Test B. Simple Hill Climbing C. Steepest-Ascent Hill Climbing D. Simulated Annealing

19. Simulated annealing differs from … in that a move is selected at random and then decides whether to accept it. A. Generate-and-Test B. Hill Climbing C. Best First Search D. Simulated Annealing

20. Which of the following are the drawbacks of hill climbing. i) Local maximum ii) Plateau iii) Ridge A. i and ii only B. ii and iii only C. i and iii only D. All i, ii and iii

• C. i-True, ii-True
• C. Both i and ii
• D. All i, ii, and iii
• B. A control strategy
• D. A rule applier
• A. monolithic production system
• B. commutative production system
• A. Control strategies
• C. i-True, ii-True, iii-False
• B. breadth-first search techniques
• A. depth-first search techniques
• A. Generate-and-Test
• B. Simple Hill Climbing
• C. Steepest-Ascent Hill Climbing
• B. Hill Climbing
• D. All i, ii and iii

Read Next: 20 MCQ Questions on Knowledge Representation in AI

Shuseel Baral is a web programmer and the founder of InfoTechSite has over 8 years of experience in software development, internet, SEO, blogging and marketing digital products and services is passionate about exceeding your expectations.

3 Marketing Lessons From the Online Gambling Industry

7 Best Small Business SEO Tips for Time-Strapped Entrepreneurs

Related posts.

10+ Best Tips to Revolutionize IT Operations with Artificial Intelligence

20 Simple MCQs on Microsoft Excel That You Don’t Want to Miss

20 top Multiple Choice Questions on SDLC Set-4

Comments are closed.

• 100’s Best Software Testing Tutorials
• CSS Tutorials
• JavaScript Tutorials
• Programming Tutorials
• Basic IT MCQs
• Data Structure MCQs
• Operating System MCQs
• Computer Networking MCQs
• Software Engineering MCQs
• JavaScript MCQs
• C & C++ MCQs
• Digital Marketing Guides
• Online Earning Guides
• Products & Services Reviews
• Word Counter

Type above and press Enter to search. Press Esc to cancel.

Programming MCQ (Multiple Choice Questions)

Our Programming Questions and Answers prepares an individual for competitive exams, entrance exams, various tests and interviews. Questions have detailed problem descriptions and solutions with detailed explanations so that one can understand them easily. One should spend 1 hour daily for 5-6 months to learn and assimilate various Programming subjects comprehensively. Here’s the benefits of our completely solved Programming questions and answers:

1. Programming Questions and Answers – Interview Preparations

One can practice these Programming interview questions and answer regularly to prepare for campus/off-campus interviews, pool-campus interviews, walk-in interviews and various company interviews in Programming topics. These fully solved interview questions are applicable to all – be it college students, freshers or experienced people. They can enhance their knowledge by regular practice which will help them crack any technical interview easily, thereby ensuring a good placement and career growth.

2. Programming Questions and Answers – Entrance & Competitive Exams

One can practice these Programming questions and answer regularly to prepare for various competitive & entrance exams as well as various tests & contests in colleges. Aspiring students and working professionals can learn and practice our fully solved Programming questions along with examples and detailed explanations in various subjects. Here’s a partial list of entrance exam and/or competitive exams for which one can practice these Programming questions: GATE, GRE, IAS, IES, PSC, UGC NET, DOEACC Exams and many others online/Offline Tests/Contests. One can also practice these questions for Department Tests/Exams for UG/PG courses, Credit scores and PhD Qualifier in US Universities .

3. Programming Multiple Choice Questions – Quiz Questions

Get Started – Programming Multiple Choice Questions & Answers:

Wish you the best in your endeavor to learn and master Programming!

• Aerospace Engineering MCQ Questions
• Metallurgical Engineering MCQ Questions
• Aeronautical Engineering MCQ Questions
• Information Technology MCQ Questions
• Computer Science MCQ Questions
• Mining Engineering MCQ Questions
• R Programming MCQ Questions
• Marine Engineering MCQ Questions
• Civil Engineering MCQ Questions
• Instrumentation Engineering MCQ Questions

Computer Science Degree Courses

Computer Fundamentals Practice Tests

Computer Fundamentals Online Tests

Steps in Problem Solving MCQ (Multiple Choice Questions) PDF Download

The Steps in Problem Solving Multiple Choice Questions (MCQ Quiz) with Answers PDF (Steps in Problem Solving MCQ PDF e-Book) download to practice Computer Fundamentals Tests . Learn Using Computers to Solve Problems Multiple Choice Questions and Answers (MCQs) , Steps in Problem Solving quiz answers PDF to study computing courses online. The Steps in Problem Solving MCQ App Download: Free learning app for representing algorithms flowcharts and structure diagram, steps in systems analysis and design, computer systems, program design and implementation test prep for master's degree in computer science.

The MCQ: Second step in problem solving process is to; "Steps in Problem Solving" App Download (Free) with answers: Practicing the solution; Organizing the data; Design a solution; Define a problem; to study computing courses online. Practice Steps in Problem Solving Quiz Questions , download Google eBook (Free Sample) for BSc computer science.

Steps in Problem Solving MCQs: Questions and Answers PDF Download

Last step in process of problem solving is to

• design a solution
• define a problem
• practicing the solution
• organizing the data

Second step in problem solving process is to

Thing to keep in mind while solving a problem is

• output data
• stored data
• all of above

First step in process of problem solving is to

Steps in Problem Solving Textbook App: Free Download (Android & iOS)

The App: Steps in Problem Solving MCQs App to study Steps in Problem Solving Textbook, Computer Fundamentals MCQ App, and DBMS MCQ App. The "Steps in Problem Solving" App to free download iOS & Android Apps includes complete analytics with interactive assessments. Download App Store & Play Store learning Apps & enjoy 100% functionality with subscriptions!

Steps in Problem Solving App (Android & iOS)

Computer Fundamentals App (iOS & Android)

DBMS App (Android & iOS)

Semantic Web App (iOS & Android)

Computer Fundamentals MCQs eBook Download

Computer Fundamentals MCQ Book PDF

Computer Networks Practice Questions

• Data and Signals MCQs
• Data Communications MCQs
• Data Link Control MCQs
• Data Transmission: Telephone and Cable Networks MCQs
• Digital Transmission MCQs
• Domain Name System MCQs
• File Systems Quiz
• Information Processing Quiz
• Input Errors and Program Testing Quiz
• Introduction to Computer Hardware Quiz
• Jobs in Computing Quiz
• Processing Systems Quiz

Computer Networks MCQ Questions

• In Synchronous Transport Signal (STS), multiplexing can also take place at higher
• Internet has chosen datagram approach to switch in
• In cellular telephony, a service provider must be able to locate and track a
• Name of domain is domain name of node at top of
• In User Datagram Protocol (UDP), queues are associated with

Steps in Problem Solving MCQs Book Questions

• Main store of computer memory includes
• Program flowcharts are part of
• Material on which data is stored or an input/output is classified is termed as
• Interactive use of computers from large distances with little action by operators, are multi-access system's
• In programming language BASIC, statement ends with REM are considered as

Introduction to Problem Solving Class 11 MCQ

Teachers and Examiners ( CBSESkillEduction ) collaborated to create the Introduction to Problem Solving Class 11 MCQ . All the important Information are taken from the NCERT Textbook Computer Science (083) class 11 .

1. Computers cannot solve problems on their own. We must provide clear, step-by-step directions on how to solve the issue, this solving technique is known as ____________. a. Problem Solving  b. Problem Addressing c. Problem Analysis d. None of the above

2. ___________ is the process of identifying a problem, developing an algorithm for the identified problem and finally implementing the algorithm to develop a computer program. a. Problem Solving  b. Problem Addressing c. Problem Analysis d. None of the above

3. It is essential to device a solution before writing a program code for a given problem. The solution is represented in natural language and is called an ___________. a. Problem b. Algorithm  c. Problem Analysis d. None of the above

4. After finalizing the algorithm, we need to convert the algorithm into the_________. a. Format which can be understood by the computer b. High level programming language c. Both a) and b)  d. None of the above

5. What are the different type of testing. a. Component testing b. Integration testing c. System testing & Acceptance testing d. All of the above 

6. The developed programme needs to pass different parameter __________. The programme needs to fulfil the user’s requirements. It must respond in the anticipated amount of time. a. Method b. Testing  c. Error d. None of the above

7. To complete each activity in a computer, we follow a sequence of steps. This sequence of steps is known as ________. a. Problem b. Algorithm  c. Problem Analysis d. None of the above

8. ____________ is the act of locating and fixing problems in software code that could lead to unexpected behavior or crashes. These errors are sometimes referred to as “bugs.” a. Algorithm b. Problem Solving c. Debugging  d. All of the above

9. Why do we need an Algorithm? a. Accuracy b. Minimized mistakes c. Best possible solution d. All of the above 

10. Writing an algorithm is mostly considered as a ________. a. First step of programming  b. Second step of programming c. Third step of programming d. None of the above

11. Purpose of using algorithm? a. Increase the reliability b. Accuracy of the program c. Efficiency of obtaining solutions d. All of the above 

12. Characteristics of a good algorithm. a. Precision & Uniqueness b. Finiteness c. Input & Output d. All of the above 

13. Before implementing algorithm, the programmer should __________ first. a. Analyze the problem b. Identify the problem c. Both a) and b)  d. None of the above

14. A __________ is a visual representation of an algorithm. a. Flowchart  b. Pseudocode c. Algorithm d. None of the above

15. A flowchart is a diagram made up of __________. a. Boxes b. Diamonds c. Shapes d. All of the above 

16. Start/End also called _________ symbol, it indicates where the flow starts and ends. a. Terminator  b. Decision c. Input / Output d. Arrow

17. Process is also called ________, it represents a process, action, or a single step. a. Terminator b. Action Symbol  c. Decision d. Input/ Output

18. A __________ or branching point, usually a yes/no or true/ false question is asked, and based on the answer, the path gets split into two branches. a. Terminator b. Action Symbol c. Decision  d. Input/ Output

19. _________ is also called data symbol, this parallelogram shape is used to input or output data. a. Terminator b. Action Symbol c. Decision d. Input/ Output 

20. ___________ connector to show order of flow between shapes. a. Terminator b. Action Symbol c. Decision d. Arrow 

21. A ___________ is another way of representing an algorithm. It is considered as a non-formal language that helps programmers to write algorithm. a. Flowchart b. Pseudocode  c. Algorithm d. None of the above

22. The word “pseudocode” means ___________. a. Not real code  b. Real code c. Temporary code d. None of the above

23. It is necessary to run different input values through the algorithm’s phases in order to verify. This process of taking an input and running it through all of the algorithm’s steps is commonly referred to as a _______. a. Code b. Dry run  c. Method d. None of the above

24. Dry run will help us to __________. a. Identify any incorrect steps in the algorithm b. Figure out missing details or specifics in the algorithm c. Both a) and b)  d. None of the above

25. algorithms can be ___________ on the basis of the amount of processing time they need to run and the amount of memory that is needed to execute the algorithm. a. Compared b. Analyzed c. Both a) and b)  d. None of the above

26. ___________ is the set of rules or grammar that governs the formulation of the statements in the language, such as spellings, order of words, punctuation, etc. a. Analyzed b. Syntax  c. Code d. None of the above

27. Programs written using ________ are directly understood by the computer hardware, but they are difficult to deal with and comprehend by humans. a. High Level Language b. Binary Digit  c. 4GL Language d. None of the above

28. A program written in a high-level language is called ___________. a. Source code  b. Object c. Machine language d. None of the above

29. What type of problems are solved by computer. a. Easy problem b. Complex problem c. Both a) and b)  d. None of the above

30. The basic idea of solving a complex problem by decomposition is to __________. a. Decompose b. Break down c. Complex problem into smaller sub problems d. All of the above 

31. An algorithm is defined as a _________ procedure designed to perform an operation which will lead to the desired result, if followed correctly. a. Reverse procedure b. Step-by-step procedure  c. Random procedure d. None of the above

32. Algorithms have a definite ________ and a definite ________, and a finite number of steps. a. Middle & End b. Beginning & End  c. Beginning & Middle d. None of the above

33. A good algorithm, which is __________, receives input and produces an output. a. Precise b. Unique c. Finite d. All of the above 

34. In order to write effective algorithms we need to identify the__________ to be followed and the desired output. a. Input b. Process c. Both a) and b)  d. None of the above

35. A flowchart is a type of diagram that represents the algorithm graphically using boxes of various kinds, in an order connected by arrows. a. Flowchart  b. Algorithm c. Pseudocode d. None of the above

36. An _________ where all the steps are executed one after the other is said to execute in sequence. a. Flowchart b. Algorithm  c. Pseudocode d. None of the above

37. _________ making involves selection of one of the alternatives based on outcome of a condition. a. Terminator b. Action Symbol c. Decision  d. Arrow

38. An _________ may have a certain set of steps, which are repeating for a finite number of times, such an algorithm is said to be iterative. a. Flowchart b. Algorithm  c. Pseudocode d. None of the above

39. There can be __________ approach to solve a problem and hence we can have more than one algorithm for a particular problem. a. Only one b. More than one  c. No approach d. None of the above

40. The choice of __________ should be made on the basis of time and space complexity. a. Flowchart b. Algorithm  c. Pseudocode d. None of the above

Computer Science Class 11 Notes

• Unit 1 : Basic Computer Organisation
• Unit 1 : Encoding Schemes and Number System
• Unit 2 : Introduction to problem solving
• Unit 2 : Getting Started with Python
• Unit 2 : Conditional statement and Iterative statements in Python
• Unit 2 : Function in Python
• Unit 2 : String in Python
• Unit 2 : Lists in Python
• Unit 2 : Tuples in Python
• Unit 2 : Dictionary in Python
• Unit 3 : Society, Law and Ethics

Computer Science Class 11 MCQ

Computer science class 11 ncert solutions.

• Unit 2 : Tuples and Dictionary in Python

• Data Science
• Trending Now
• Data Structures
• System Design
• Foundational Courses
• Practice Problem
• Machine Learning
• Data Science Using Python
• Web Development
• Web Browser
• Design Patterns
• Software Development
• Product Management
• Programming

50 Aptitude & Reasoning MCQs with Answers

Given a coin which gives HEADS with probability 1/4 and TAILS with 3/4. The coin is tossed k times. What is the probability that we get at least k/2 HEADS is less than or equal to?  

(1/2) k/5  

(1/2) k/2  

(1/3) k/2  

(1/5) k/2  

• shall have flown
• Argumentative
• Indifferent
• exhilarating

Question 10

• 1:S, 2:P, 3:Q, 4:R
• 1:P, 2:Q, 3:R, 4:S
• 1:Q, 2:R, 3:S, 4:P
• 1:S, 2:P, 3:R, 4:Q

There are 50 questions to complete.

• Request new password
• Create a new account

Essential Psychology

Student resources, multiple choice questions.

1. The Tower of London problem-solving task was developed by

• Shackleton (1982)
• Shallice (1982)
• Sheriff (1982)
• Sherrington (1982)

2. The process of breaking down goals into subgoals is termed

• means–ends analysis
• initial-desired state analysis
• subgoal appropriation
• subgoal potentiation

3. According to Newell and Simon, a problem-solver

• analyzes all possible solutions before beginning
• attempts to resolve differences between problem states
• works backwards from the goal state
• prioritizes subgoals

4. What computer programme did Newell and Simon create to validate their theory?

• general purpose solution
• general problem solver
• enigma machine

5. A challenge to Newell and Simon’s problem-solving theory is that

• experts mostly use means–ends analysis
• novices mostly use means–ends analysis
• experts do not always use means–ends analysis
• novices do not always use means–ends analysis

6. Answers that appear out of the blue to solve problems are

7. Difficulty seeing the solution to a problem is

• means analysis

8. Which is NOT a type of reasoning?

• probabilistic

9. Bayes’ theorem can be used to calculate

• possibility
• probability
• information criterion
• means–ends differences

10. A heuristic is

• a rule of thumb

Have an account?

Suggestions for you See more

Prepositions

Tens and ones, 19.9k plays, k american symbols, exponential relationships, succession & biogeochemical cycles, scientific variables exit ticket.

Problem Solving Skills

10 questions

Introducing new   Paper mode

No student devices needed.   Know more

What are Problem Solving Skills?

Being able to identify the problem and coming up with better solutions to solve that problem.

Having skills to solve problems

Solving problems to have skills

Which Strategies will you have to make a list and eliminate possibilities?

Identify A Problem

Devise A plan

Carry Out A Plan

What skills will you need for Problem Skills?

Communication

Critical Thinking

Playing around

Put these is order

Identify the problem,devise a plan,carry out the plan

Identify the problem carry out the plan,look back

devise a plan,Identify the problem,carry out the plan,look back

Identify the problem,devise a plan,carry out the plan,look back

Which strategies you have to use when you improve the problem?

identify the problem

devise a plan

carry out a plan

What are some ways you can solve problems? Hint: 3 MAIN WAYS

Communicate

Active Listening

Coming up with solutions

Having other skills for Problem Solving Skills are important.

Carrying Out A Plan can be...

Coming up with a solution

What is the MAIN thing you learned?

Problem Solving Skills are important

Problem Solving Skills are not important

communication is good

How are you doing so far?

I don't know

Explore all questions with a free account

Continue with email

Continue with phone

15 Common Problem-Solving Interview Questions

In an interview for a big tech company, I was asked if I’d ever resolved a fight — and the exact way I went about handling it. I felt blindsided, and I stammered my way through an excuse of an answer.

It’s a familiar scenario to fellow technical job seekers — and one that risks leaving a sour taste in our mouths. As candidate experience becomes an increasingly critical component of the hiring process, recruiters need to ensure the problem-solving interview questions they prepare don’t dissuade talent in the first place. 

Interview questions designed to gauge a candidate’s problem-solving skills are more often than not challenging and vague. Assessing a multifaceted skill like problem solving is tricky — a good problem solver owns the full solution and result, researches well, solves creatively and takes action proactively. 

It’s hard to establish an effective way to measure such a skill. But it’s not impossible.

We recommend taking an informed and prepared approach to testing candidates’ problem-solving skills . With that in mind, here’s a list of a few common problem-solving interview questions, the science behind them — and how you can go about administering your own problem-solving questions with the unique challenges of your organization in mind.

Key Takeaways for Effective Problem-Solving Interview Questions

• Problem solving lies at the heart of programming. 
• Testing a candidate’s problem-solving skills goes beyond the IDE. Problem-solving interview questions should test both technical skills and soft skills.
• STAR, SOAR and PREP are methods a candidate can use to answer some non-technical problem-solving interview questions.
• Generic problem-solving interview questions go a long way in gauging a candidate’s fit. But you can go one step further by customizing them according to your company’s service, product, vision, and culture. 

Technical Problem-Solving Interview Question Examples

Evaluating a candidates’ problem-solving skills while using coding challenges might seem intimidating. The secret is that coding challenges test many things at the same time — like the candidate’s knowledge of data structures and algorithms, clean code practices, and proficiency in specific programming languages, to name a few examples.

Problem solving itself might at first seem like it’s taking a back seat. But technical problem solving lies at the heart of programming, and most coding questions are designed to test a candidate’s problem-solving abilities.

Here are a few examples of technical problem-solving questions:

1. Mini-Max Sum  

This well-known challenge, which asks the interviewee to find the maximum and minimum sum among an array of given numbers, is based on a basic but important programming concept called sorting, as well as integer overflow. It tests the candidate’s observational skills, and the answer should elicit a logical, ad-hoc solution.

2. Organizing Containers of Balls  

This problem tests the candidate’s knowledge of a variety of programming concepts, like 2D arrays, sorting and iteration. Organizing colored balls in containers based on various conditions is a common question asked in competitive examinations and job interviews, because it’s an effective way to test multiple facets of a candidate’s problem-solving skills.

3. Build a Palindrome

This is a tough problem to crack, and the candidate’s knowledge of concepts like strings and dynamic programming plays a significant role in solving this challenge. This problem-solving example tests the candidate’s ability to think on their feet as well as their ability to write clean, optimized code.

4. Subarray Division

Based on a technique used for searching pairs in a sorted array ( called the “two pointers” technique ), this problem can be solved in just a few lines and judges the candidate’s ability to optimize (as well as basic mathematical skills).

5. The Grid Search 

This is a problem of moderate difficulty and tests the candidate’s knowledge of strings and searching algorithms, the latter of which is regularly tested in developer interviews across all levels.

Common Non-Technical Problem-Solving Interview Questions 

Testing a candidate’s problem-solving skills goes beyond the IDE . Everyday situations can help illustrate competency, so here are a few questions that focus on past experiences and hypothetical situations to help interviewers gauge problem-solving skills.

1. Given the problem of selecting a new tool to invest in, where and how would you begin this task? 

Key Insight : This question offers insight into the candidate’s research skills. Ideally, they would begin by identifying the problem, interviewing stakeholders, gathering insights from the team, and researching what tools exist to best solve for the team’s challenges and goals. 

2. Have you ever recognized a potential problem and addressed it before it occurred? 

Key Insight: Prevention is often better than cure. The ability to recognize a problem before it occurs takes intuition and an understanding of business needs. 

3. A teammate on a time-sensitive project confesses that he’s made a mistake, and it’s putting your team at risk of missing key deadlines. How would you respond?

Key Insight: Sometimes, all the preparation in the world still won’t stop a mishap. Thinking on your feet and managing stress are skills that this question attempts to unearth. Like any other skill, they can be cultivated through practice.

4. Tell me about a time you used a unique problem-solving approach. 

Key Insight: Creativity can manifest in many ways, including original or novel ways to tackle a problem. Methods like the 10X approach and reverse brainstorming are a couple of unique approaches to problem solving. 

5. Have you ever broken rules for the “greater good?” If yes, can you walk me through the situation?

Key Insight: “Ask for forgiveness, not for permission.” It’s unconventional, but in some situations, it may be the mindset needed to drive a solution to a problem.

6. Tell me about a weakness you overcame at work, and the approach you took. 

Key Insight: According to Compass Partnership , “self-awareness allows us to understand how and why we respond in certain situations, giving us the opportunity to take charge of these responses.” It’s easy to get overwhelmed when faced with a problem. Candidates showing high levels of self-awareness are positioned to handle it well.

7. Have you ever owned up to a mistake at work? Can you tell me about it?

Key Insight: Everybody makes mistakes. But owning up to them can be tough, especially at a workplace. Not only does it take courage, but it also requires honesty and a willingness to improve, all signs of 1) a reliable employee and 2) an effective problem solver.

8. How would you approach working with an upset customer?

Key Insight: With the rise of empathy-driven development and more companies choosing to bridge the gap between users and engineers, today’s tech teams speak directly with customers more frequently than ever before. This question brings to light the candidate’s interpersonal skills in a client-facing environment.

9. Have you ever had to solve a problem on your own, but needed to ask for additional help? How did you go about it? 

Key Insight: Knowing when you need assistance to complete a task or address a situation is an important quality to have while problem solving. This questions helps the interviewer get a sense of the candidate’s ability to navigate those waters. 

10. Let’s say you disagree with your colleague on how to move forward with a project. How would you go about resolving the disagreement?

Key Insight: Conflict resolution is an extremely handy skill for any employee to have; an ideal answer to this question might contain a brief explanation of the conflict or situation, the role played by the candidate and the steps taken by them to arrive at a positive resolution or outcome. 

Strategies for Answering Problem-Solving Questions

If you’re a job seeker, chances are you’ll encounter this style of question in your various interview experiences. While problem-solving interview questions may appear simple, they can be easy to fumble — leaving the interviewer without a clear solution or outcome. 

It’s important to approach such questions in a structured manner. Here are a few tried-and-true methods to employ in your next problem-solving interview.

1. Shine in Interviews With the STAR Method

S ituation, T ask, A ction, and R esult is a great method that can be employed to answer a problem-solving or behavioral interview question. Here’s a breakdown of these steps:

• Situation : A good way to address almost any interview question is to lay out and define the situation and circumstances. 
• Task : Define the problem or goal that needs to be addressed. Coding questions are often multifaceted, so this step is particularly important when answering technical problem-solving questions.
• Action : How did you go about solving the problem? Try to be as specific as possible, and state your plan in steps if you can.
• Result : Wrap it up by stating the outcome achieved. 

2. Rise above difficult questions using the SOAR method

A very similar approach to the STAR method, SOAR stands for S ituation, O bstacle, A ction, and R esults .

• Situation: Explain the state of affairs. It’s important to steer clear of stating any personal opinions in this step; focus on the facts.
• Obstacle: State the challenge or problem you faced.
• Action: Detail carefully how you went about overcoming this obstacle.
• Result: What was the end result? Apart from overcoming the obstacle, did you achieve anything else? What did you learn in the process? 

3. Do It the PREP Way

Traditionally used as a method to make effective presentations, the P oint, R eason, E xample, P oint method can also be used to answer problem-solving interview questions.  

• Point : State the solution in plain terms. 
• Reasons: Follow up the solution by detailing your case — and include any data or insights that support your solution. 
• Example: In addition to objective data and insights, drive your answer home by contextualizing the solution in a real-world example.
• Point : Reiterate the solution to make it come full circle.

How to Customize Problem-Solving Interview Questions 

Generic problem-solving interview questions go a long way in gauging a candidate’s skill level, but recruiters can go one step further by customizing these problem-solving questions according to their company’s service, product, vision, or culture. 

Here are some tips to do so:

• Break down the job’s responsibilities into smaller tasks. Job descriptions may contain ambiguous responsibilities like “manage team projects effectively.” To formulate an effective problem-solving question, envision what this task might look like in a real-world context and develop a question around it.  
• Tailor questions to the role at hand. Apart from making for an effective problem-solving question, it gives the candidate the impression you’re an informed technical recruiter. For example, an engineer will likely have attended many scrums. So, a good question to ask is: “Suppose you notice your scrums are turning unproductive. How would you go about addressing this?” 
• Consider the tools and technologies the candidate will use on the job. For example, if Jira is the primary project management tool, a good problem-solving interview question might be: “Can you tell me about a time you simplified a complex workflow — and the tools you used to do so?”
• If you don’t know where to start, your company’s core values can often provide direction. If one of the core values is “ownership,” for example, consider asking a question like: “Can you walk us through a project you owned from start to finish?” 
• Sometimes, developing custom content can be difficult even with all these tips considered. Our platform has a vast selection of problem-solving examples that are designed to help recruiters ask the right questions to help nail their next technical interview.

Get started with HackerRank

Over 2,500 companies and 40% of developers worldwide use HackerRank to hire tech talent and sharpen their skills.

310+ Life Skill Development Solved MCQs

Done Reading?

• Question and answers in Life Skill Development,
• Life Skill Development multiple choice questions and answers,
• Life Skill Development Important MCQs,
• Solved MCQs for Life Skill Development,
• Life Skill Development MCQs with answers PDF download