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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 8

50 questions

Question 1

______ is Artificial Intelligence is a set of tools for machine learning that uses statistics and functional analysis.

A.
Hebbian learning
B.
Bayesian learning
C.
Statistical learning
D.
Supervised learning

Question 2

50

Fuzzy logic is a form of ______.

A.
Binary valued logic
B.
Many valued logic
C.
Two valued logic
D.
No value logic

Question 3

Fuzzy logic can be implemented in ______.

A.
Software
B.
Hardware
C.
Network
D.
Both A and B

Question 4

Fuzzy logic can produce ______ output.

A.
Only 1
B.
2
C.
3
D.
4

Question 5

______ are the methods of Fuzzy interface system.

A.
Mamdani Fuzzy Inference System
B.
Takagi-Sugeno Fuzzy Model (TS Method)
C.
Ricart-Aagrawala Model
D.
Both A and B

Question 6

The truth values of traditional set theory is ______ and that of fuzzy set is ______.

A.
Either 0 or 1, between 0 & 1
B.
Between 0 & 1, only 1
C.
Between 0 & 1, only 0
D.
Either 0 or 1, either 0 or 1

Question 7

The store temperature is cold. Here the cold (use of linguistic variable is used) can be represented by ______.

A.
Fuzzy Set
B.
Crisp Set
C.
Fuzzy & Crisp Set
D.
Variable Set

Question 8

Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

A.
OR
B.
NOT
C.
AND
D.
All of the mentioned

Question 9

Fuzzy logic is usually represented as ______.

A.
IF-THEN-ELSE rules
B.
IF-ELSE-IF rules
C.
IF-THEN rules
D.
Both IF-THEN-ELSE rules & IF-THEN rules

Question 10

A ______ is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution.

A.
Generation Algorithm
B.
Genetic Algorithm
C.
Search Algorithm
D.
None of above

Question 11

______ involves five phases to solve the complex optimization problems.

A.
Generation Algorithm
B.
Genetic Algorithm
C.
Search Algorithm
D.
None of above

Question 12

Fitness function is used to determine how ______ an individual is?

A.
Fit
B.
Weak
C.
Tired
D.
None of above

Question 13

This is one of the types of Selection methods available is ______.

A.
Roulette wheel selection
B.
Tournament selection
C.
Rank-based selection
D.
All of the above

Question 14

The operators involved in the reproduction phase are ______.

A.
Mutation
B.
Crossover
C.
Genes
D.
Both A and B

Question 15

After the selection process; the creation of a child occurs in the ______ step.

A.
Fitness Assignment
B.
Reproduction
C.
Termination
D.
Initialization

Question 16

Types of Crossover styles are ______.

A.
One point crossover and Two-point crossover
B.
Livery crossover
C.
Inheritable Algorithms crossover
D.
All of above

Question 17

The ______ operator inserts random genes in the offspring (new child) to maintain the diversity in the population which can be done by flipping some bits in the chromosomes.

A.
Mutation
B.
Crossover
C.
Genes
D.
Allele

Question 18

______ is one of the types of mutation styles.

A.
Flip bit mutation
B.
Gaussian mutation
C.
Exchange/Swap mutation
D.
All of above

Question 19

______ is a type of neural network which is based on a Feed-Forward strategy.

A.
Artificial NN
B.
Biological NN
C.
Convolutional NN
D.
None of above

Question 20

______ is a structure that consists of Synapse, dendrites, cell body, and axon.

A.
Artificial NN
B.
Biological NN
C.
Convolutional NN
D.
None of above

Question 21

Artificial Neural Network (ANN) is ______.

A.
Sequential and centralized
B.
Non sequential and de-centralized
C.
Parallel and distributed
D.
Parallel and non-distributed

Question 22

Biological Neural Network (BNN) is ______

A.
Sequential and centralized
B.
Non sequential and de-centralized
C.
Parallel and distributed
D.
Parallel and non-distributed

Question 23

Which NN is this? \[x_1 \quad x_2 \quad x_3 \quad \cdots \quad x_n \in {0, 1}] \[\begin{array}{c} \text{if} \ f \rightarrow y \in {0, 1} \end{array}]

A.
McCulloch-pitts neuron
B.
Minsky and Papert neuron
C.
Both A and B
D.
None of Above

Question 24

The McCulloch-Pitts neural model, which was the earliest ANN model, has only two types of inputs ______

A.
Extraordinary and inhabitation
B.
Excitatory and Inhibitory
C.
Extraordinary and Inhibitory
D.
Excitatory and Inhabitation

Question 25

The excitatory inputs have weights of ______ magnitude and the inhibitory weights have weights of ______ magnitude.

A.
Positive, Negative
B.
Negative, Negative
C.
Negative, Negative
D.
Positive, Positive

Question 26

The inputs of the McCulloch-Pitts neuron could be either ______ or ______

A.
0 or -1
B.
0 or 1
C.
0 or infinity
D.
0 or 2

Question 27

Artificial Neural system are called ______

A.
Neural networks and neurocomputers
B.
Parallel distributed processors
C.
Connectionists system
D.
All of above

Question 28

An artificial neuron is designed to mimic the first-order characteristics of a ______

A.
Physiological neuron
B.
Geological neuron
C.
Biological neuron
D.
None of above

Question 29

Processing of ANN depends upon ______

A.
Network Topology
B.
Adjustments of Weights or Learning
C.
Activation Functions
D.
All of above

Question 30

A network topology in neural network is the arrangement of a network along with its ______

A.
Nodes and connecting lines
B.
Lines and curves
C.
Graphs and vectors
D.
Symbols and functions

Question 31

According to the topology, ANN can be classified as ______

A.
Feed forward Network
B.
Feed backward Network
C.
Both Feed forward and Backward Network
D.
None

Question 32

______ is a non-recurrent network having processing units/nodes in layers and all the nodes in a layer are connected with the nodes of the previous layers.

A.
Feed forward Network
B.
Feed backward Network
C.
Both Feed forward and Backward Network
D.
None

Question 33

Feed-forward network can be divided into ______

A.
Single-layer feed forward
B.
Multi-layer feed forward
C.
No-layer feed forward
D.
Both A and B

Question 34

The concept is of ______ ANN having only one weighted layer.

A.
Single-layer feed forward
B.
Multi-layer feed forward
C.
No-layer feed forward
D.
Both A and B

Question 35

Identify which Neural Network Topology is this? * Inputs * Outputs

A.
Single-layer feed forward
B.
Multi-layer feed forward
C.
No-layer feed forward
D.
None

Question 36

The concept is of ______ ANN having more than one weighted layer.

A.
Single-layer feed forward
B.
Multi-layer feed forward
C.
No-layer feed forward
D.
None

Question 37

Identify which Neural network topology is this? * Inputs * Hidden * Outputs

A.
Single-layer feed forward
B.
Multi-layer feed forward
C.
No-layer feed forward
D.
None

Question 38

______ network has feedback paths, which means the signal can flow in both directions using loops.

A.
Feed forward Network
B.
Feedback/Feed backward Network
C.
Both Feed forward and Backward Network
D.
None

Question 39

Feedback/ Feed backward network can be divided into ______

A.
Recurrent Network
B.
Fully recurrent Network
C.
Jordan Network
D.
None

Question 40

Identify which Neural network topology is this? * Input layer * Hidden layer * Output layer

A.
Feed-forward
B.
Feedback
C.
Linear
D.
None of above

Question 41

______ neural network architecture because all nodes are connected to all other nodes and each node works as both input and output.

A.
Fully recurrent
B.
Jordan
C.
McClutch
D.
None of above

Question 42

Identify which Neural network topology is this? * Input layer * Hidden layer * Output layer

A.
Jordan
B.
McClutch
C.
Fully recurrent
D.
None of above

Question 43

Identify which Neural network topology is this?

A.
Jordan
B.
McClutch
C.
Fully recurrent
D.
None of above

Question 44

______ is defined as the extra force or effort applied over the input to obtain an exact output.

A.
Deactivation function
B.
Activation function
C.
Parallel function
D.
Distributed function

Question 45

Non-linear activation function can be divided on the basis of their ______.

A.
Signs and ranges
B.
Range and curves
C.
Range and symbols
D.
Symbols and curves

Question 46

The main reason why we use sigmoid function is because it exists between ______.

A.
0 to 2
B.
-1 to 1
C.
-1 to 0
D.
0 to 1

Question 47

The range of the tanh function is from ______.

A.
0 to 2
B.
-1 to 1
C.
-1 to 0
D.
0 to 1

Question 48

The range of the Re-Lu function is from ______.

A.
0 to infinity
B.
-1 to 1
C.
Infinity to 0
D.
0 to 1

Question 49

The range of the Leaky Re-Lu function is from ______.

A.
0 to infinity
B.
-1 to 1
C.
-infinity to infinity
D.
0 to 1

Question 50

The Neural Network architecture is made of individual units called ______ that mimic the biological behavior of the brain.

A.
Nerves
B.
Neurons
C.
Genes
D.
Chromosomes

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