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Best Book – NSCT MCQS (National IT Skill Competency by HEC)

Areas of Competencies for National Skill Competency Test of IT Graduates

1. Computer Networks and Cloud Computing (Weightage: 10%)

The following topics are included in this competency area:

  1. Data Communication
  2. Computer Networks
  3. Data Link Layer
  4. Network Layer
  5. Transport Layer
  6. Application Layer
  7. Wireless Networks
  8. Cloud Computing
  9. Network Security (Networks Perspective)
  10. Next Generation Networks

2. Programming (C++ / Java / Python) (Weightage: 10%)

This area covers the following programming concepts:

  1. Programming Fundamentals
  2. Data Types and Variables
  3. Operators and Expressions
  4. Control Structures
  5. Functions / Methods
  6. Input / Output Handling
  7. Strings and Text Processing
  8. Arrays and Collections
  9. Object-Oriented Programming (OOP)
  10. Memory Management Concepts
  11. Exception and Error Handling
  12. Modules, Packages and Libraries
  13. Advanced Programming Concepts
  14. Concurrency and Parallelism (Introductory)
  15. Debugging, Testing and Optimization
  16. Software Development Practices

3. Data Structures and Algorithms (Weightage: 10%)

This section includes the following topics:

  1. Foundations of Data Structures 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 and Optimization

4. Operating Systems (Weightage: 5%)

The operating system section includes:

  1. Introduction to Operating Systems
  2. Operating System Structures
  3. Process Management
  4. CPU Scheduling
  5. Thread Management
  6. Concurrency and Synchronization
  7. Deadlocks
  8. Memory Management
  9. File System Management
  10. Secondary Storage Management
  11. Input / Output Systems
  12. Protection and Security

5. Software Engineering (Weightage: 10%)

The following topics are included:

  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 and Coding
  10. Software Testing
  11. Software Maintenance and Evolution
  12. Software Quality Assurance
  13. Software Metrics and Measurement
  14. Software Configuration Management
  15. Software Risk Management
  16. Software Security Engineering

6. Web Development (Weightage: 10%)

Topics included in this section are:

  1. Introduction to Web Development
  2. Web Architecture and Protocols
  3. HTML Fundamentals
  4. CSS Fundamentals
  5. Advanced CSS and Responsive Design
  6. JavaScript Fundamentals
  7. Advanced JavaScript
  8. Frontend Frameworks and Libraries
  9. Backend Development Fundamentals
  10. Server-Side Programming
  11. Databases for Web Applications
  12. Web Security
  13. Web Performance and Optimization
  14. Web Testing and Debugging
  15. Deployment and Hosting
  16. Web APIs and Integration
  17. Modern Web Development Practices

7. AI / Machine Learning and Data Analytics (Weightage: 10%)

This competency includes the following topics:

  1. Introduction to AI, Machine Learning and Data Analytics
  2. Mathematical Foundations
  3. Python for AI and Data Analytics
  4. Data Collection and Pre-processing
  5. Exploratory Data Analysis (EDA)
  6. Supervised Learning
  7. Ensemble Learning
  8. Unsupervised Learning
  9. Model Evaluation and Validation
  10. Feature Engineering and 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 and MLOps Basics
  17. AI Ethics, Security and Privacy

8. Cyber Security (Weightage: 5%)

This area covers:

  1. Introduction to Cyber Security
  2. Security Fundamentals and Principles
  3. Cryptography Basics
  4. Network Security
  5. Operating System Security
  6. Web Application Security
  7. Malware and Attack Techniques
  8. Authentication and Access Control
  9. Secure Software Development
  10. Wireless and Mobile Security
  11. Cloud and Virtualization Security
  12. Digital Forensics
  13. Incident Response and Management
  14. Security Monitoring and Auditing
  15. Cyber Laws and Ethics
  16. Emerging Trends in Cyber Security

9. Databases (Weightage: 10%)

The database competency includes:

  1. Introduction to Database Systems
  2. Database System Architecture
  3. Data Models
  4. Relational Database Concepts
  5. Relational Algebra and Calculus
  6. Structured Query Language (SQL)
  7. Advanced SQL
  8. Database Design and Normalization
  9. Transaction Management
  10. Concurrency Control
  11. Recovery Management
  12. Indexing and File Organization
  13. Query Processing and Optimization
  14. Database Security
  15. Distributed Databases
  16. NoSQL and Modern Databases
  17. Data Warehousing and Data Mining (Introductory)

10. Problem Solving and Analytical Skills (Weightage: 20%)

This section includes:

  1. Introduction to Problem Solving
  2. Problem Understanding and Analysis
  3. Logical Reasoning Fundamentals
  4. Algorithms and Flow Control
  5. Data Representation and Abstraction
  6. Pattern Recognition and Generalization
  7. Mathematical and Quantitative Reasoning
  8. Algorithmic Thinking
  9. Critical Thinking and Decision Making
  10. Debugging and Error Analysis
  11. Complexity and Efficiency Awareness
  12. Problem Solving Using Programming
  13. Data-Driven Problem Solving
  14. Creative and Innovative Thinking
  15. Real-World Problem Solving
  16. Communication and Documentation of Solutions
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