introduction to problem solving mcq questions and answers

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

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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).

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Algorithms MCQ Questions and Answers – Fundamentals – Part 1

C omputer architecture MCQ questions and answers for the preparation of tests, exams, and certifications. So you will find questions about loops and conditionals, data structure, complexity, flowchart, pseudocode, and much more. This systematic learning method will easily prepare anyone to pass their exam.

1. What is an algorithm?

A A flowchart

B A flowchart or pseudocode

C A decision

D Step by step instructions used to solve a problem

2. What are the three algorithm constructions?

A Input, Output, Process

B Sequence, Selection, Repeat

C Input/Output, Decision, Repeat

D Loop, Input/Output, Process

Repetition.

3. What is the difference between a flowchart and a pseudocode?

A A flowchart is a diagram while the pseudocode is written in a programming language (e.g. Pascal or Java)

B A flowchart is textual but the pseudocode is a diagram

C A flowchart is a schematic description of an algorithm, while pseudocode is a textual description of an algorithm.

D A flowchart and a pseudocode are the same

4. In a flowchart, an input or output instruction is represented by _____?

A A diamond

B Rectangle

C Parallelogram

introduction to problem solving mcq questions and answers

5. In a flowchart, a calculation (process) is represented by _____?

6. To repeat a task, we use a ____?

B Condition

7. If ....... then ....... else ....... End If check ____?

A Only one condition

B Two conditions

C Three conditions

D Multiple conditions

8. REPEAT <processing> UNTIL <condition> is a ______?

A Positive loop

The following example uses the REPEAT UNTIL structure to read and validate a positive value:

9. A flowchart should represent the situation in which, for each grade, a student receives a “Good” or ” Average” the system will consider the grade and if it is equal to or greater than 12, assigns a “Good” grade, otherwise it assigns a “Passable” grade. Which of the following options will be used? A Input

10. What is a Flowchart?

A A way to design a text-based algorithm

B A specific programming language

C A diagram that represents a set of instructions

D A scheme of instructions

Algorithms MCQ Questions and Answers – Fundamentals – Part 2

Algorithms MCQ Questions and Answers – Fundamentals – Part 3

Algorithms MCQ – Data Structures & Complexity – Part 1

Algorithms MCQ – Data Structures & Complexity – Part 2
Algorithms MCQ – Data Structures & Complexity – Part 3

Algorithms MCQ – Data Structures & Complexity – Part 4

MS Word MCQ Questions and Answers – Part 6

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.

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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 Operating Systems 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)

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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

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

Artificial Intelligence

Control System

Interview Q

Intelligent Agent

Problem-solving, adversarial search, knowledge represent, uncertain knowledge r., subsets of ai, artificial intelligence mcq, related tutorials.

1) Artificial Intelligence is about_____.

b. Making a machine Intelligent.

Artificial Intelligence is a branch of Computer science, which aims to create intelligent machines so that machine can think intelligently in the same manner as a human does.

c. John McCarthy

John McCarthy was a pioneer in the AI field and known as the father of Artificial intelligence. He was not only the known as the father of AI but also invented the term Artificial Intelligence.

b. Small Search Space

Blind Search is also known as uninformed search, and it does not contain any domain information such as closeness, location of the goal, etc. Hence the most appropriate situation that can be used for the blind search is Small-search Space.

d. All of the above

All the given options are the applications of AI.

b. Depth First Search

The Depth Search Algorithm or DFS requires very little memory as it only stores the stack of nodes from the root node to the current node.

d. Intelligent

If a robot is able to change its own trajectory as per the external conditions, then the robot is considered intelligent. Such type of agents come under the category of AI agents or Rational Agents.

d. Perl

Among the given languages, Perl is not commonly used for AI. LISP and PROLOG are the two languages that have been broadly used for AI innovation, and the most preferred language is Python for AI and Machine learning.

b. Turing Test

In the year , mathematician and computing pioneer introduced a test to determine whether a machine can think like a human or not, which means it can demonstrate intelligence, known as the . It was based on the with some modifications. This technique is still a measure of various successful AI projects, with some updates.

d. All of the above

Expert system is a part of AI and a computer program that is used to solve complex problems, and to give the decision-making ability like human. It does this with the help of , and all these are the components of an Expert System.

d. Min/Max Algorithm

A game tree is a directed graph whose nodes represent the positions in Game and edges represent the moves. To make any decision, the game tree uses the Min/Max algorithm. The is the preferred one over other search algorithms, as it provides the best move to the player, assuming that the opponent is also playing Optimally.

b. 2

There are only two ways to solve the problems of state-space search.

C. Representational Verification

Knowledge representation is the part of Artificial Intelligence that deals with AI agent thinking and how their thinking affects the intelligent behavior of agents. A good knowledge representation requires the following properties:

d. Both a and c.

An AI agent perceives and acts upon the environment using Sensors and Actuators. With Sensors, it senses the surrounding, and with Actuators, it acts on it.

c. Condition-action rule

The simple reflex agent takes decisions only on the current condition and acts accordingly; it ignores the rest of history; hence it follows the Condition-action rule.

a. Utility-based agent

Utility-based agent uses an extra component of utility that provides a measure of success at a given state. It decides that how efficient that state to achieve the goal, which specifies the happiness of the agent.

a. True

Rational agent has clear preference, goal, and acts in a way to maximize its performance. It is said that it always does the right things, which means it gives the best performance for each action.

d. Heuristic

In problem-solving, the Heuristic describes the common sense or Judgemental part.

d. Pattern Matching

Pattern matching is a way to check a given sequence of tokens in order to determine the presence of a given character or data in the given sequence. It allows computers to understand the relationship between objects and events.

b. Agent does not contain knowledge State and actions

In Exploration problems, the agent does not contain the knowledge of state space and actions in advance. These are difficult problems and used in the real world.

d. Partial & local Information

The Wumpus world is an example environment that is made of grids of squares surrounded by walls. Each square can have agents or objects. The world is used to demonstrate the worth of a knowledge-based agent and knowledge representation. In the environment, uncertainty arises as the agent can only perceive the close environment. The Wumpus world is represented in below image:

c. Alpha-beta pruning

algorithm is the modified version of the Minimax algorithm and returns the same moves as the original algorithm, but it removes all those nodes/branches that do not affect the final decision.

d. Any depth

The Alpha-beta pruning can be applied to any depth of the tree and it can eliminate the entire subtree, if it is not affecting the final decision.

c. Resolution

Resolution is also known as inference rule as it shows the complete inference rule when applied to any search algorithm.

Complex sentences are built by combining the atomic sentences using connectives.

c. LISP Machine

ART or Automatic Reasoning tool is used in LISP machines to understand the different aspects of reasoning.

b. False Positive Hypothesis

The False Positive Hypothesis means that according to results, you have that condition, but in reality, you don't have it. Such as for a medical test, if someone is found Positive for a disease, but actually he doesn't have that disease, then it comes under the False Positive hypothesis.

c. Both Discrete and Continuous Variables

The Hybrid Bayesian network contains both discrete and continuous variables as the numerical inputs. To define the hybrid network, both kinds of distributions are used at wide probability distribution.

c. Generalized Modus Ponens

For all inference process in FOL, the single inference rule can be used, which is called Generalized Modus Ponens. It is said to be the lifted version of Modus ponens.

Generalized Modus Ponens can be said as, "

a. Unification

Unification is the process of making two different logical expressions identical by finding a substitution.

c. Unify Algorithm

The unify algorithm takes two atomic sentences and return a unifier. It is used for the unification process.

b. Performance, Environment, Actuators, Sensors

PEAS is a representation model on which an AI agent works. It is made up of four words:

b. Successor function that takes current action and returns next state

The successor function provides a description of all possible actions and their next states, which means their outcomes.

d. Travelling Salesman problem

The TSP or Travelling Salesman problem is about finding the shortest possible route to visit each city only once and returning to the origin city when the list of all cities and distances between each pair of cities is given.

c. O(n!)

In the TSP problem of n cities, the time taken for traversing all cities without having prior knowledge of the length of the minimum tour will be O(n!).

Intelligent Agent

The web crawler is an example of Intelligent agents, which is responsible for collecting resources from the Web, such as HTML documents, images, text files, etc.

Both a & b

Problem-solving agents are the goal-based agents that use different search strategies and algorithms to solve a given problem.

i. Predicate Logic

ii. Propositional Logic

iii. Compound Logic

iv. Machine Logic

a. Both I and II

There are several techniques of and among them, one is Logical Representation. The logical representation can be done in two ways , hence knowledge can be represented as both predicate and Propositional logic.

a. The sentences of Propositional logic can have answers other than True or False

Propositional Knowledge or PL is the simplest form of logic that is used to represent the knowledge, where all the sentences are propositions. In this, each sentence is a declarative sentence that can only be either true or False.

Such as, This sentence can be either true or false only.

c. Predicate and Subject

The is also known as the First-order predicate logic, which is another way of knowledge representation. The FOL statements contain two parts that are s .

For e.g., .

b. 3 Levels

The knowledge-based agents have the capability of making decisions and reasoning to act efficiently. It can be viewed at three different levels, which are:

c. Both a &b

Machine Learning and Deep Learning are the two ways to achieve AI in real life.

c. Perceiving, thinking, and acting on the environment

The AI agent is the rational agent that runs in the cycle of Perceive, think, and act.

d. All of the above

The probabilistic reasoning is used to represent uncertain knowledge, where we are not sure about the predicates. It depends Upon Estimation, Observation, and likelihood of objects.

c. Both a and b

The inference engine is the component of the intelligent system in artificial intelligence, which applies logical rules to the knowledge base to infer new information from known facts. The first inference engine was part of the expert system. Inference engine commonly proceeds in two modes, which are:

c. Conditional Probability has no effect or relevance on independent events.

The conditional probability is said as the probability of occurring an event when another event has already occurred. And Independent events are those that are not affected by the occurrence of other events; hence conditional probability has no effect or relevance on independents events.

b. Estimated Values

Like all probability theories and methods, Conditional Probability also provides the estimated result value, which means the probability of an event to occur, not a 100% accurate result.

b. Can solve a problem on its own without any human intervention

The best AI agent is one that can solve the problem on its own without any human intervention.

c. A complete description of the domain

A is a probabilistic graphical model that represents a set of variables and their conditional dependencies using a directed acyclic graph. It gives a complete description of the domain.

d. (+5 8)

The sum of two variables a & b can be entered as (+a b). Hence the sum of 5 and 8 can be entered as (+5 8).

a. It ends with a solution (if any exists).

An algorithm is only said the complete algorithm if it ends with a solution (if it exists).

d. The heuristic function calculates the cost of an optimal path between the pair of states

The heuristic function is used in to find the most promising path in the search. It estimates the closeness of the current state and calculates the cost of an optimal path between the pair of states. It is represented

c. Learning Element

The learning element improves the performance of an AI agent while solving a given problem, so that it can make better decisions.

c. 3

There are three types of Machine Learning techniques, which are Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

c. Sequence of test

A decision tree is the supervised machine learning technique that can be used for both Classification and Regression problems. It reaches its destination using a Sequence of Tests.

(sqrt x)

In LISP programming, the square root of any variable x is entered as (sqrt x).

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Python MCQ (Multiple Choice Questions)

Here are 1000 MCQs on Python (Chapterwise) .

7. What will be the value of the following Python expression?

11. What will be the output of the following Python code?

15. What will be the output of the following Python code snippet if x=1?

18. What are the values of the following Python expressions?

20. What will be the output of the following Python code?

23. The following python program can work with ____ parameters.

24. What will be the output of the following Python function?

26. What will be the output of the following Python expression if x=56.236?

28. What will be the output of the following Python function?

29. What will be the output of the following Python code?

b) a b c d c) error d)

31. What will be the output of the following Python code snippet?

32. What will be the output of the following Python statement?

>>> "a" + "bc"

33. Which function is called when the following Python program is executed?

35. What will be the output of the following Python code?

class tester :
def __init__ ( self, id ) :
self. id = str ( id )
id = "224"
>>> temp = tester ( 12 )
>>> print ( temp. id )

36. What will be the output of the following Python program?

38. What will be the output of the following Python program?

40. What will be the output of the following Python code?

42. What will be the value of ‘result’ in following Python program?

44. What will be the output of the following Python code?

45. What will be the output of the following Python code?

>>> list1 = [ 1 , 3 ]
>>> list2 = list1
>>> list1 [ 0 ] = 4
>>> print ( list2 )

47. Which of the following Python statements will result in the output: 6?

49. What will be the output of the following Python program?

50. What will be the output of the following Python code?

52. What will be the output of the following Python program?

def addItem ( listParam ) :
listParam + = [ 1 ]
mylist = [ 1 , 2 , 3 , 4 ]
addItem ( mylist )
print ( len ( mylist ) )

54. What will be the output of the following Python code snippet?

55. What will be the output of the following Python expression?

57. What will be the output of the following Python code?

60. What will be the output of the following Python code?

62. What will be the output of the following Python code?

Chapterwise Multiple Choice Questions on Python

Python MCQ - Multiple Choice Questions and Answers

Python Variable Names & Operators
Python Data Types & Numeric Types
Python Precedence and Associativity
Python Bitwise & Boolean
Python Formatting & Decorators
Python While and For Loops
Python Strings
Python Lists
Python List Comprehension
Python Tuples
Python Sets
Python Dictionary
Python Built-in Functions
Python Functions
Python Argument Passing, Variables and Recursion
Python Mapping Functions
Python Modules
Python Regular Expressions
Python Files
Python Classes and Objects
Python OOPs
Python Exception Handling

1. Python MCQ on Variable Names & Operators

The section contains multiple choice questions and answers on python variables and basic operators.

2. Python MCQ on Data Types & Numeric Types

The section contains questions and answers on python core data types and numeric types.

3. MCQ on Precedence and Associativity in Python

The section contains Python MCQ on precedence and associativity.

4. Python MCQ on Bitwise & Boolean

The section contains multiple choice questions and answers on python bitwise and boolean.

5. Multiple Choice Questions on Formatting & Decorators in Python

The section contains questions and answers on python formatting, advanced formatting and decorators.

6. Python MCQ on While and For Loops

The section contains Python MCQ on different types of loops (while and for loops).

7. Python MCQ on Strings

The section contains multiple choice questions and answers on different types of python strings.

8. Python Multiple Choice Questions on Lists

The section contains questions and answers on different types of lists.

9. Python MCQ on List Comprehension

The section contains MCQ on different types of list comprehension.

10. MCQ on Python Tuples

The section contains multiple choice questions and answers on various types of tuples.

11. MCQ on Python Sets

The section contains questions and answers on various types of python sets.

12. Multiple Choice Questions on Python Dictionary

The section contains multiple choice questions and answers on python dictionary.

13. Python MCQ on Built-in Functions

The section contains multiple choice questions and answers on different types of python built in functions.

14. Multiple Choice Questions on Python Functions

The section contains questions and answers on different types of python functions.

15. Python MCQ on Argument Passing, Variables and Recursion

The section contains Python MCQ on argument parsing, global and local variables, recursion, differences between shallow and deep copy.

16. Python MCQ on Mapping Functions

The section contains Python multiple choice questions and answers on functional programming tools and mapping functions.

17. Python MCQ on Modules

The section contains questions and answers on Python modules like math module, random module, sys module, datetime module, pickle and tutrle modules.

18. Python MCQ on Regular Expressions

The section contains Python MCQ on different types of regular expressions (regex).

19. Python Multiple Choice Questions on Files

The section contains multiple choice questions and answers on python files.

20. Python MCQ on Classes and Objects

The section contains questions and answers on operator overloading, classes and objects.

21. Python MCQ on OOPs

The section contains MCQ on oops concepts like inheritance, polymorphism and encapsulation.

22. Python MCQ on Exception Handling

The section contains multiple choice questions and answers on exception handling.

Manish Bhojasia - Founder & CTO at Sanfoundry

MCQs and Answers

Engineering interview questions, Mcqs, Objective Questions,Class Notes,Seminor topics,Lab Viva Pdf free download. CIVIL | Mechanical | CSE | EEE | ECE | IT | Chemical Online Quiz Tests for Freshers.

250+ TOP MCQs on Problem Solving and Answers

Artificial Intelligence Multiple Choice Questions on “Problem Solving”.

Answer: c Clarification: The problem-solving agents are one of the goal-based agents.

Answer: d Clarification: Because state space is mostly concerned with a problem, when you try to solve a problem, we have to design a mathematical structure to the problem, which can only be through variables and parameters. eg. You have given a 4-gallon jug and another 3-gallon jug. Neither has measuring marker on it. You have to fill the jugs with water. How can you get exactly 2 gallons of water in to 4 gallons. Here the state space can defined as set of ordered pairs integers(x,y), such that x=0,1,2,3 or 4 and y=0,1,2 or 3; X represents the number of gallons in 4 gallon jug and y represents the quantity of water in the 3-gallon jug.

Answer: a Clarification: Refer to the definition of problem-solving agent.

Answer: b Clarification: A search algorithm takes input as a problem and returns a solution to the problem as an output.

Answer: a Clarification: A problem has four components initial state, goal test, set of actions, path cost.

Answer: c Clarification: The most common formulation for actions uses a successor function. Given a particular state x, SUCCESSOR-FN(x) returns a set of (action, successor) ordered pairs, where each action is one of the legal actions in state x and each successor is a state that can be reached from x by applying the action.

Answer: a Clarification: A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the lowest path cost among all solutions.

Answer: b Clarification: The process of removing detail from a representation is called abstraction.

Answer: d Clarification: Problem-solving approach works well for toy problems and real-world problems.

Answer: b Clarification: Refer the TSP problem.

Answer: a Clarification: Web Crawling is type of search for a relevant document from given seed documents. Focused crawlers exists, helps to improvise the search efficiency.

Answer: d Clarification: For best performance consideration of all component is necessary.

Answer: c Clarification: When you are trying to solve a problem, you should design how to get a step-by-step solution with constraints condition to your problem, e.g Chess board problem.

Answer: a Clarification: Depth-First Search takes less memory since only the nodes on the current path are stored, but in Breadth First Search, all of the tree that has generated must be stored.

Answer: b Clarification: We use a Heuristic approach, as it will find out brute force computation, looking at hundreds of thousands of positions. e.g Chess competition between Human and AI based Computer.

Global Education & Learning Series – Artificial Intelligence.

C Multiple Choice Questions

C is the most popular programming language developed by Dennis Ritchie at the Bell Laboratories in 1972 to develop the UNIX operating systems. It is a general-purpose and procedural programming language. It is faster than the languages like Java and Python. C is very versatile it can be used in both applications and technologies. C is the most used language in top companies such as LinkedIn, Microsoft, Opera, Meta, and NASA because of its performance. To get into these companies and other software companies, you need to practice C programming MCQs. The questions asked in the online test is based on code outputs, error finding, C algorithms and C coding questions. This C Multiple Choice Questions article will cover all the basic to advanced MCQs on C programming language which are selected under the guidance of the masters of C and by getting ideas through the experience of students’ recent C programming MCQ Test.

Also Explore: Recent Articles on C

Output of c programs.

Output of C Programs | Set 1
Output of C Programs | Set 2
Output of C Programs | Set 3
Output of C Programs | Set 4
Output of C Programs | Set 5
Output of C Programs | Set 6
Output of C Programs | Set 7
Output of C programs | Set 8
Output of C Programs | Set 9
Output of C Programs | Set 10
Output of C Programs | Set 11
Output of C Programs | Set 12
Output of C Programs | Set 13
Output of C Programs | Set 14
Output of C Programs | Set 15
Output of C Programs | Set 16
Output of C Program | Set 17
Output of C Program | Set 18
Output of C Program | Set 19
Output of C Program | Set 20
Output of C Program | Set 21
Output of C Program | Set 22
Output of C Program | Set 23
Output of C Program | Set 24
Output of C program | Set 25
Output of C Program | Set 26
Output of C Program | Set 27
Output of C Program | Set 28
Output of C Program | Set 29
Output of C Program | Set 30 (Switch Case)
Output of C Program | Set 31 (Pointers)
Output of C programs | Set 32
Output of C programs | Set 33 (rand() and srand())
Output of C programs | Set 34
Output of C programs | Set 35 (Loops)
Output of C programs | Set 36
Output of C programs | Set 37
Output of C programs | Set 38
Output of C programs | Set 39 (Pre Increment and Post Increment)
Output of C programs | Set 40 (File handling)
Output of C programs | Set 41
Output of C programs | Set 42
Output of C programs | Set 43
Output of C programs | Set 44 (Structure & Union)
Output of C programs | Set 45
Output of C programs | Set 46
Output of C programs | Set 47 (Decision and Control Statements)
Output of C programs | Set 48
Output of C programs | Set 49 (Operators)
Output of C programs | Set 50 (Control Structures)
Output of C programs | Set 51
Output of C programs | Set 52
Output of C programs | Set 53 (Operators)
Output of C programs | Set 54
Output of C programs | Set 55 (Ternary Operators)
Output of C programs | Set 55 (Shift Operators)
Output of C programs | Set 56 (While loop)
Output of C programs | Set 57 (for loop)
Output of C programs | Set 58 (operators)
Output of C programs | Set 59 (Loops and Control Statements)
Output of C programs | Set 60 (Constants)
Output of C programs | Set 61 (Loops)
Output of C programs | Set 62 (Declaration & Initialization)
Output of C programs | Set 63-I
Output of C programs | Set 63-II
Output of C programs | Set 64 (Pointers)
Output of C programs | Set 65 (If-Else)
Output of the Program | Pointer to a Constant or Constant Pointer?
Output of the Program | Use Macros Carefully!
Output of the program | Dereference, Reference, Dereference, Reference….

Topic wise Quizzes

Result of sizeof operator
Assigning multiple characters in an int in C language
Input and Output(14)
Operators(26)
Loops & Control Structure(23)
Structure & Union(11)
Macro & Preprocessor(14)
Pointer Basics(19)
Functions(16)
Storage Classes and Type Qualifiers(20)
Data Types(10)
Dynamic Memory Allocation(8)
Advanced Pointer(13)
Variable Declaration and Scope(8)
File Handling(5)
C Quiz – 101(5)
C Quiz – 102(5)
C Quiz – 103(5)
C Quiz – 104(5)
C Quiz – 105(5)
C Quiz – 106(5)
C Quiz – 107(5)
C Quiz – 108(5)
C Quiz – 109(5)
C Quiz – 110(5)
C Quiz – 111(5)
C Quiz – 112(5)

GATE Question Sets

C Language | Set 1
C Language | Set 2
C Language | Set 3
C Language | Set 4
C Language | Set 5
C Language | Set 6
C Language | Set 7
C Language | Set 8
C Language | Set 9

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Computer Science Class 11 Notes

Computer Science Class 11 MCQ

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Chapter 4 Class 11 - Introduction to Problem Solving

MCQ questions (1 mark each)

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1. What is an algorithm?

2. What are the three algorithm constructions?

3. What is the difference between a flowchart and a pseudocode?

4. In a flowchart, an input or output instruction is represented by _____?

5. In a flowchart, a calculation (process) is represented by _____?

6. To repeat a task, we use a ____?

7. If ....... then ....... else ....... End If check ____?

8. REPEAT <processing> UNTIL <condition> is a ______?

10. What is a Flowchart?

Algorithms MCQ Questions and Answers – Fundamentals – Part 2

Algorithms MCQ – Data Structures & Complexity – Part 1

Algorithms MCQ – Data Structures & Complexity – Part 4

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Python MCQ (Multiple Choice Questions)

Chapterwise Multiple Choice Questions on Python

1. Python MCQ on Variable Names & Operators

2. Python MCQ on Data Types & Numeric Types

3. MCQ on Precedence and Associativity in Python

4. Python MCQ on Bitwise & Boolean

5. Multiple Choice Questions on Formatting & Decorators in Python

6. Python MCQ on While and For Loops

7. Python MCQ on Strings

8. Python Multiple Choice Questions on Lists

9. Python MCQ on List Comprehension

10. MCQ on Python Tuples

11. MCQ on Python Sets

12. Multiple Choice Questions on Python Dictionary

13. Python MCQ on Built-in Functions

14. Multiple Choice Questions on Python Functions

15. Python MCQ on Argument Passing, Variables and Recursion

16. Python MCQ on Mapping Functions

17. Python MCQ on Modules

18. Python MCQ on Regular Expressions

19. Python Multiple Choice Questions on Files

20. Python MCQ on Classes and Objects

21. Python MCQ on OOPs

22. Python MCQ on Exception Handling

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250+ TOP MCQs on Problem Solving and Answers

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