Lecturer Computer Science Test 20 Online Preparation MCQs

Leave a Comment / By Hassan / September 21, 2020

Online Free Taleem is free online MCQ’s test related to Lecturer Computer Science. All the individuals who are going to appear in Lecturer Computer Science written test can attempt these tests in order to prepare for it in best possible way. Our tests of Lecturer of Computer Science include all the important questions and Past Paper of Lecturer Computer Science, that have extremely high amount of chances for been included in the actual exam which make our test undoubtedly the best source of preparation.

Note:-

There will be 25 multiple choice question in the test.
Answer of the questions will change randomly each time you start this test.
Practice this test at least 5 times if you want to secure High Marks.
At the End of the Test you can see your Test score and Rating.
If you found any incorrect answer in Quiz. Simply click on the quiz title and comment below on that MCQ. So that I can update the incorrect answer on time.

Please Click Below START Button to Take this Computer Science Test Online.

Test Instructions:-
Test Name	Lecturer Computer Science
Subject	Computer Science Test 20
Test Type	MCQs
Total Questions	25
Total Time	20 Minutes
Total Marks	100

You have 20 minutes to pass to the quiz.

PPSC Lecturer of Computer Science Practice Test 20

1 / 25

Which element in agent are used for selecting external actions?

Actuator

Performance

Learning

Perceive

2 / 25

The objects can be inherited by:

Multiple objects

Either (a) or (a)

A single object only

Both (a) and (b)

3 / 25

Which search method takes less memory?

Depth-First Search

Optimal search

Both (a) and (b)

Breadth-First search

Linear Search

4 / 25

To communicate with other computers over a telephone line the computer must have ........................... installed:

Telephone set

Modem

None of these

LAN Card

5 / 25

Which method is effective for escaping from local minima?

Eliminating heuristic estimate

Reducing heuristic estimate

None of the mentioned

Updating heuristic estimate

6 / 25

What is Artificial intelligence?

Programming with your own intelligence

Putting more memory into Computer

Putting your intelligence into Computer

Making a Machine intelligent

Playing a Game

7 / 25

Which is not the commonly used programming language for AI?

Java

Java script

PROLOG

Perl

LISP

8 / 25

When do we call the states are safely explorable?

A goal state is denied access

A goal state is unreachable from any state

None of the mentioned

A goal state is reachable from every state

9 / 25

Which is used to improve the agents performance?

Learning

Observing

None of the mentioned

Perceiving

10 / 25

Which instruments are required for perceiving and acting upon the environment?

Sensors

Perceiver

Sensors and Actuators

None of the above

11 / 25

Web Crawler is a/an:

Intelligent goal-based agent

A & B

Problem-solving agent

Model based agent

Simple reflex agent

12 / 25

During the program execution, temporary/intermediate values are stored in:

Registers

Peripherals

LAN

None of these

13 / 25

When the LAN is arranged in such a way that each computer is connected directly to the HUB the configuration can be termed as ................... network:

Star

None of these

Bus

Ring

14 / 25

Which element in agent are used for selecting external actions?

Actuator

Performance

Perceive

Learning

15 / 25

Which is not the commonly used programming language for AI?

Java script

LISP

Perl

PROLOG

Java

16 / 25

Which search agent operates by interleaving computation and action?

Breadth-first search

Depth-first search

Offline search

Online search

17 / 25

How the new states are generated in genetic algorithm?

Composition

Cross-over

Mutation

Both b & c

18 / 25

An ‘agent’ is anything that:

All of the mentioned

Takes input from the surroundings and uses its intelligence and performs the desired operations

A embedded program controlling line following robot

Perceives its environment through sensors and acting upon that environment through actuators

19 / 25

How many types of agents are there in artificial intelligence?

20 / 25

What is called as exploration problem?

Both b & c

Only actions are known to agent

State and actions are known to the agent

State and actions are unknown to the agent

21 / 25

Which agent deals with happy and unhappy states?

Model based agent

Learning agent

Simple reflex agent

Utility based agent

22 / 25

Which is the best way to go for Game playing problem?

Random approach

Linear approach

an Optimal approach

Stratified approach

Heuristic approach (Some knowledge is stored)

23 / 25

A production rule consists of:

Directly getting solution

A sequence of steps

A set of Rule

Arbitrary representation to problem

Both a and b

24 / 25

The operating system may perform.....................operation to manage the memory while running a large program:

Paging

None of these

Scheduling

Sorting

25 / 25

Which action sequences are used to acheive the agent’s goal?

Reterive

Plan

Both a & b

Your score is

The average score is 76%

Lecturer Computer Science Test 20 Online Preparation MCQs

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