Top 1000 MCQs PDF
Download the top most repeated 1000 MCQs in PDF Books for NSCT Test
Preparation.
سلیبس کے مطابق سوالات یہاں سے کلک کرکے ڈنلوڈ کریں ۔ تیاری ہمیشہ سلیبس
کے مطابق کریں-مزید اس لنک کو چیک کرتے رہیں کیونکہ ہم انتہائی اہم سوالات یہاں
اپڈیٹ کرتے رہتے ہیں
|
Areas of
Competencies |
% |
Topics |
|
Computer Networks |
10% |
1 - Data
Communication |
|
2 - Computer
Networks |
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|
3 - Data Link Layer |
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4 - Network Layer |
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5 Transport Layer |
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6 - Application
Layer |
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7 - Wireless
Networks |
||
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8 - Cloud Computing |
||
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9 - Network Security
(Networks Perspective) |
||
|
10 - Next Generation
Networks |
||
|
Programming |
10% |
1. Programming
Fundamentals |
|
2. Data Types &
Variables |
||
|
3. Operators &
Expressions |
||
|
4. Control
Structures |
||
|
5. Functions /
Methods, |
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|
6. Input / Output
Handling. |
||
|
7. Strings & Text
Processing |
||
|
8. Arrays &
Collections |
||
|
9. Object-Oriented
Programming (OOP) |
||
|
10. Memory
Management Concepts |
||
|
11. Exception &
Error Handling |
||
|
12. Modules,
Packages & Libraries |
||
|
13. Advanced
Programming Concepts |
||
|
14. Concurrency
& Parallelism (Introductory) |
||
|
15 Debugging,
Testing & Optimization |
||
|
16. Software
Development Practices |
||
|
Data Structures
& |
10% |
1 - Foundations of
Data Structure and Algorithms |
|
2 - Linear Data
Structures |
||
|
3 - Non-Linear Data
Structures |
||
|
4 - Searching
Algorithms |
||
|
5 - Sorting
Algorithms |
||
|
6 - Hashing |
||
|
7 - Tree Algorithms |
||
|
8 - Graph Algorithms |
||
|
9 - Algorithm Design
Techniques |
||
|
10 - Advanced Data
Structures |
||
|
11 - String
Algorithms |
||
|
12 - Complexity
& Optimization |
||
|
Operating Systems |
5% |
1. Introduction to
Operating Systems |
|
2. Operating System
Structures |
||
|
3. Process
Management |
||
|
4. CPU Scheduling |
||
|
5. Thread Management |
||
|
6. Concurrency &
Synchronization |
||
|
7. Deadlocks |
||
|
8. Memory Management |
||
|
9. File System
Management |
||
|
10. Secondary
Storage Management |
||
|
11. Input / Output
Systems |
||
|
12. Protection &
Security |
||
|
Software |
10% |
1. Introduction to
Software Engineering |
|
2 Software Process
Models |
||
|
3. Agile Software
Development |
||
|
4. Software
Requirements Engineering |
||
|
5. Software Project
Management |
||
|
6. Software Design |
||
|
7. Software
Architecture |
||
|
8. User Interface
Design |
||
|
9. Software
Implementation & Coding |
||
|
10. Software Testing |
||
|
11. Software
Maintenance & Evolution |
||
|
12. Software Quality
Assurance |
||
|
13. Software Metrics
& Measurement |
||
|
14. Software
Configuration Management |
||
|
15. Software Risk
Management |
||
|
16. Software
Security Engineering |
||
|
Web Development |
10% |
1. Introduction to
Web Development |
|
2. Web Architecture
& Protocols |
||
|
3. HTML Fundamentals |
||
|
4. CSS Fundamentals |
||
|
5. Advanced CSS
& Responsive Design |
||
|
6. JavaScript
Fundamentals |
||
|
7. Advanced
JavaScript |
||
|
8. Frontend
Frameworks & Libraries |
||
|
9. Backend
Development Fundamentals |
||
|
10. Server-Side
Programming |
||
|
11. Databases for
Web Applications |
||
|
12. Web Security |
||
|
13. Web Performance
& Optimization |
||
|
14. Web Testing
& Debugging |
||
|
15. Deployment &
Hosting |
||
|
16. Web APIs &
Integration |
||
|
17. Modern Web
Development Practices |
||
|
AI / Machine |
10% |
1. Introduction to
AI, ML & Data Analytics |
|
2. Mathematical
Foundations |
||
|
3. Python for AI
& Data Analytics |
||
|
4. Data Collection
& Pre-processing |
||
|
5. Exploratory Data
Analysis (EDA) |
||
|
6. Supervised
Learning |
||
|
7. Ensemble Learning |
||
|
8. Unsupervised
Learning |
||
|
9. Model Evaluation
& Validation |
||
|
10. Feature
Engineering & Selection |
||
|
11. Deep Learning
Fundamentals |
||
|
12. Advanced Deep
Learning |
||
|
13. Natural Language
Processing (NLP) |
||
|
14. Computer Vision |
||
|
15. Big Data
Analytics (Introductory) |
||
|
16. Model Deployment
& MLOps Basics |
||
|
17. AI Ethics,
Security & Privacy |
||
|
Cyber Security |
5% |
1. Introduction to
Cyber Security |
|
2. Security
Fundamentals & Principles |
||
|
3. Cryptography
Basics |
||
|
4. Network Security |
||
|
5. Operating System
Security |
||
|
6. Web Application
Security |
||
|
7. Malware &
Attack Techniques |
||
|
8. Authentication
& Access Control |
||
|
9. Secure Software
Development |
||
|
10. Wireless &
Mobile Security |
||
|
11. Cloud &
Virtualization Security |
||
|
12. Digital
Forensics |
||
|
13. Incident
Response & Management |
||
|
14. Security
Monitoring & Auditing |
||
|
15. Cyber Laws &
Ethics |
||
|
16. Emerging Trends
in Cyber Security |
||
|
Databases |
10% |
1. Introduction to
Database Systems |
|
2. Database System
Architecture |
||
|
3. Data Models |
||
|
4. Relational
Database Concepts |
||
|
5. Relational
Algebra & Calculus |
||
|
6. Structured Query
Language (SQL) |
||
|
7. Advanced SQL |
||
|
8. Database Design
& Normalization |
||
|
9. Transaction
Management |
||
|
10. Concurrency
Control |
||
|
11. Recovery
Management |
||
|
12. Indexing &
File Organization |
||
|
13. Query Processing
& Optimization |
||
|
14. Database
Security |
||
|
15. Distributed
Databases |
||
|
16. NoSQL &
Modern Databases |
||
|
17. Data Warehousing
& Data Mining (Introductory) |
||
|
Problem Solving And |
20% |
1. Introduction to
Problem Solving |
|
2. Problem
Understanding & Analysis |
||
|
3. Logical Reasoning
Fundamentals |
||
|
4. Algorithms &
Flow Control |
||
|
5. Data
Representation & Abstraction |
||
|
6. Pattern
Recognition & Generalization |
||
|
7. Mathematical
& Quantitative Reasoning |
||
|
8. Algorithmic
Thinking |
||
|
9. Critical Thinking
& Decision Making |
||
|
10. Debugging &
Error Analysis |
||
|
11. Complexity &
Efficiency Awareness |
||
|
12. Problem Solving
Using Programming |
||
|
13. Data-Driven
Problem Solving |
||
|
14. Creative &
Innovative Thinking |
||
|
15. Real-World
Problem Solving |
||
|
16. Communication
& Documentation of Solutions |