Latest notices:

NEC licence exam preparation, made clearer.Practice questions, syllabus guides, and timed mocks for Nepal engineers.New study resources are added regularly.

Login Sign up

Syllabus

NEC Computer · Practice

Chapters & sets

1. Basic Electrical and Electronics

Basic Electrical

Set 1106

Basic Electronics

Set 171 Set 233

2. Digital Logic and Microprocessor

Digital Logic

Set 150 Set 250 Set 350 Set 450 Set 550 Set 650 Set 749 Set 851 Set 950 Set 1050 Set 1150 Set 1232

Microprocessor

Set 150 Set 250 Set 350 Set 445 Set 550 Set 650 Set 720 Set 850 Set 969

3. Programming Language and Its Applications

Mixed chapter MCQs

Set 150 Set 249 Set 349 Set 451 Set 540

4. Computer Organization and Embedded System

Mixed chapter MCQs

Set 150 Set 249 Set 350 Set 450 Set 550 Set 650 Set 750 Set 849 Set 950 Set 1050 Set 1150

5. Concept of Computer Network and Network Security System

Basic Networking

Set 150 Set 253

Advanced Networking

Set 150 Set 250 Set 350 Set 450 Set 550 Set 655

6. Theory of Computation and Computer Graphics

Theory of Computation

Set 150 Set 250 Set 360

Computer Graphics

Set 150 Set 251 Set 350 Set 450 Set 550

7. Data Structures and Algorithm, Database System and Operating System

8. Software Engineering and Object-Oriented Analysis & Design

Mixed chapter MCQs

Set 150 Set 250 Set 350 Set 450 Set 550 Set 650 Set 750 Set 926

9. Artificial Intelligence and Neural Networks

Mixed chapter MCQs

Set 150 Set 317 Set 450 Set 550 Set 650 Set 750 Set 850 Set 932

10. Project Planning, Design and Implementation

Engineering Drawing

Set 150 Set 267

Engineering Economics

Set 168

Project Planning & Scheduling

Set 188

Project Mangement

Set 150

Engineering Professional Practice

Set 120

Engineering Regulatory Body

Set 130

Mixed chapter MCQs Set 6

50 questions

Question 1

Translate English to FOPL: All kings are person.

A.
"x: Kings(x) → Person(x).
B.
"x: Kings(x) V Person(x).
C.
"x: Kings(x) ←→ Person(x).
D.
"x: Kings(x) ^Person(x).

Question 2

50

Translate English to FOPL: Nobody loves Harry_Maguire

A.
-Loves (x, Harry_Maguire).
B.
ILoves (x, Harry_Maguire).
C.
Loves (nobody, Harry_Maguire).
D.
-Loves (Harry_Maguire).

Question 3

The primary difference between PL and FOPL is their ontological commitment (What exists in the world — TRUTH). Do you satisfy with the statement?

A.
Do not Satisfy
B.
Satisfy
C.
Partially Satisfy
D.
Rather not say

Question 4

Propositional logic is declarative. i.e., the pieces of syntax correspond to facts so FOPL was introduced.

A.
Strongly True
B.
Strongly False
C.
May be True
D.
May be False

Question 5

______ is the major families of first-order inference algorithms.

A.
Forward chaining
B.
Backward chaining
C.
Resolution
D.
All of above

Question 6

Bayes' theorem is also known as Bayes' rule, Bayes' law, or Bayesian reasoning, which determines the probability of an event with ______.

A.
Unwanted knowledge
B.
Uncertain knowledge

Question 7

______ is unavoidable in everyday reasoning and in many real-world domains.

A.
Certainty in reasoning
B.
Uncertainty in reasoning
C.
Probability
D.
Logic

Question 8

______ is the main sources on uncertainty in reasoning.

A.
Imprecise knowledge
B.
Incomplete knowledge
C.
Unreliable knowledge
D.
All of above

Question 9

Representing a certain knowledge using Predicate logic (PL) and First order logic (FOL): Eg; "Patient Akshay has a cavity". Represent this English sentence in logic.

A.
PL: Cavity FOL: Dental Disease (Akshay, Cavity)
B.
PL: Akshay FOL: Dental Disease (Akshay, Cavity)
C.
PL: Akshay ⇔ Cavity FOL: Dental Disease (Cavity, Akshay)
D.
PL: Cavity,Akshay FOL: Dental Disease (Akshay, Cavity)

Question 10

In ______ commitments: An agent believes a sentence to be true; false or has no opinion.

A.
Ontological
B.
Epistemological
C.
Both A and B
D.
None of above

Question 11

In ______ commitments: Facts hold or do not hold in the world.

A.
Ontological
B.
Epistemological
C.
Both A and B
D.
None of above

Question 12

How many terms are required for building a bayes model?

A.
1 conditional probability and 2 unconditional probability
B.
2 conditional probability and 1 unconditional probability
C.
3 conditional probability and 0 unconditional probability
D.
0 conditional probability and 1 unconditional probability

Question 13

During ______ the bayes rule can be implemented

A.
Accessing queries
B.
Increasing reliability
C.
Decreasing reliability
D.
Answering probabilistic query

Question 14

Bayesian network provides ______.

A.
Complete description of the domain
B.
Few descriptions of the domain
C.
Complete description of the problem
D.
Few descriptions of the problem

Question 15

By implementing ______ Bayesian network can be used to answer any user query.

A.
Partial distribution
B.
Joint distribution
C.
Full distribution
D.
Random Variable

Question 16

Belief network, decision network, Bayesian model are all known as ______

A.
Non-bayesian belief network
B.
Bayesian belief network
C.
Bayesian non-belief network
D.
None of above

Question 17

The Bayesian network graph does not contain any cyclic graph. So, it is known as a ______.

A.
Direct Cyclic Graph
B.
Direct Acyclic Graph
C.
Cyclic Acyclic Graph
D.
Significant Acyclic Graph

Question 18

Bayesian Network has ______ variables.

A.
Discrete
B.
Asynchronous
C.
Continuous
D.
Both A and D

Question 19

A belief network is a graph in which the following holds ______.

A.
A set of random variables
B.
A set of directive links or arrows connects pairs of nodes.
C.
The conditional probability table for each node
D.
The graph has no directed cycles
E.
All of above

Question 20

A Belief network with one node for each state and sensor variable for each time step is called a ______

A.
Dynamic belief network
B.
Static belief network
C.
Serial belief network
D.
Probability belief network

Question 21

In ______ expertise is transferred from an expert to a computer and it is stored in computer.

A.
User Interface
B.
Expert System
C.
Inference Engine
D.
Natural Language Processing

Question 22

In ______ users can call on the computer for specific advice as needed for the user.

A.
User Interface
B.
Expert System
C.
Inference Engine
D.
Natural Language Processing

Question 23

In ______ the computer can make inferences and arrive at the conclusion.

A.
User Interface
B.
Expert System
C.
Inference Engine
D.
Natural Language Processing

Question 24

In ______ the computer system advices the non-experts and explains, if necessary, the actual logic behind the advice which it has provided.

A.
User Interface
B.
Expert System
C.
Inference Engine
D.
Natural Language Processing

Question 25

Expert System can ______.

A.
Display intelligent behavior
B.
Draw conclusions from complex relationships
C.
Provide portable knowledge
D.
All of the above

Question 26

______ is one of the components of expert system.

A.
Knowledge base and Inference Engine
B.
User Interface and Explanation subsystem (facility)
C.
Working Area
D.
All of above

Question 27

The ______ is one of the components of an expert system which represents facts and rules.

A.
Inference Engine
B.
Knowledge Base
C.
User Interface
D.
Explanation Subsystem

Question 28

The most basic function of the ______ is to acquire relevant data from the knowledge base, interpret it, and find a solution to the user’s problem.

A.
User interface
B.
Inference engine
C.
Explanation Subsystem / module
D.
None of above

Question 29

______ is used to allow the expert systems to acquire more data from various sources and store it in the knowledge base.

A.
User interface
B.
Knowledge acquisition and learning module
C.
Explanation Subsystem / module
D.
None of above

Question 30

______ is essential for a non-expert user to interact with the expert system and find solutions.

A.
User interface
B.
Knowledge acquisition and learning module
C.
Explanation Subsystem / module
D.
None of above

Question 31

______ and ______ are 2 strategies used by inference engine in Expert system.

A.
Forward gaining, backward gaining
B.
Forward processing, backward processing
C.
Forward chaining, backward chaining
D.
Forward debugging, backward debugging

Question 32

With ______ strategy, an expert system is able to answer the question, “What can happen next?”

A.
Backward chaining
B.
Forward chaining
C.
Forward debugging
D.
Backward debugging

Question 33

With ______ strategy, an expert system is able to answer the question, “Why did this happen?”

A.
Backward chaining
B.
Forward chaining
C.
Forward debugging
D.
Backward debugging

Question 34

Rule-based is the type of ______.

A.
Computer System
B.
Knowledge Base
C.
Expert System
D.
Inference Engine

Question 35

A ______ is nothing but expert system without knowledge base.

A.
Tools
B.
User Interface
C.
Shell
D.
Inference Engine

Question 36

What is the full form of JESS Expert System Technology?

A.
Javascript Expert Sub System
B.
Javascript Expert System Shell
C.
Java Expert Sub System
D.
Java Expert System Shell

Question 37

______ means how a particular thing can be accomplished in AI.

A.
Procedural knowledge
B.
Declarative knowledge
C.
Tacit Knowledge
D.
Explicit Knowledge

Question 38

______ means basic knowledge about something in AI.

A.
Procedural knowledge
B.
Declarative knowledge
C.
Tacit Knowledge
D.
Explicit Knowledge

Question 39

______ emphasize how to do something to solve a given problem.

A.
Procedural knowledge
B.
Declarative knowledge
C.
Tacit Knowledge
D.
Explicit Knowledge

Question 40

______ emphasize what to do something to solve a given problem.

A.
Procedural knowledge
B.
Declarative knowledge
C.
Tacit Knowledge
D.
Explicit Knowledge

Question 41

______ is the extraction of knowledge from sources of expertise, and transfer to the knowledge base.

A.
Knowledge requisition
B.
Knowledge acquisition
C.
Knowledge processing
D.
Knowledge debugging

Question 42

______ may also include acquiring knowledge from other sources such as books, technical manuscript and drawings.

A.
Knowledge requisition
B.
Knowledge elicitation
C.
Knowledge processing
D.
Knowledge debugging

Question 43

Knowledge engineer performs important tasks

A.
Identifying the problem domain.
B.
Choosing the right expert.
C.
Preparing for knowledge acquisition.
D.
All of above

Question 44

During choosing the right expert for implementing on Expert System ______ should be one of the desirable characteristics of expert.

A.
Knows when to follow heuristics and when to make exceptions.
B.
Sees the big picture.
C.
Possesses good communication skills.
D.
All of above

Question 45

______ are the tasks performed in knowledge acquisition.

A.
Collect and interpret
B.
Analyze
C.
Design
D.
All of above

Question 46

Introspection, Observation, Induction, Protocol Analysis, Prototyping and Interviewing are the techniques of ______.

A.
Knowledge Processing
B.
Knowledge elaboration
C.
Knowledge acquisition
D.
Knowledge debugging

Question 47

______ is the process of communicating with a computer in natural language via keyboard or voice.

A.
Natural Language Processing
B.
Natural Sentence Processing
C.
Machine Learning
D.
Computer Visioning

Question 48

______ refers to AI method of communicating with an intelligent system using a natural language such as English, Nepali, Hindi etc.

A.
Natural Language Processing
B.
Natural Sentence Processing
C.
Machine Learning
D.
Computer Visioning

Question 49

______ is the main challenges of NLP.

A.
Handling Ambiguity of Sentences
B.
Handling Tokenization
C.
Handling POS-Tagging
D.
All of the mentioned

Question 50

These are the 2 components of natural language processing.

A.
Natural language debugging and natural language compiling
B.
Natural language publishing and natural language maintenance
C.
Natural language organizing and natural language implementing
D.
Natural language understanding and natural language generation

Practice another set Take a test on this chapter →