📚
CCAT Preparation
GIthub
  • CCAT Exam Study Materials
  • Overview
  • CDAC Courses and Eligibility Criteria
  • CCAT Exam Structure
  • Exam Planning Guide
    • Section A: Essential Tips for Success 🚀
    • Section B: Advanced Technical Concepts 🚀
    • Tips & Tricks for the Exam 📋
  • Study Resources
  • GPT Prompts
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GPT Prompts

Here are some prompts which you can directly add into ChatGPT and get your answers.

I am going fot CCAT exam in which I have 2 sections. In section 2, I have topics for which I need instant revision. I will be giving you the questions, and you will give me answers appropriate to the question. Make sure you answer them in 1-2 lines. In some question you can give me examples of real life which can help me understand and remember during the exam.

For AI:

  1. Definition of Al : Definition of Al , What is agent, What is environment and Need of Ai

  2. Al Understanding : What are Al Elements?

  3. Types of Al : Purely Reactive ,Limited Memory, Theory of Mind, Self aware.

  4. History of Al

  5. Main Domains of Al technology : Data Science, Computer Vision and Natural Language Processing (NLP)

  6. Ways to implement Al : Introduction to Machine Learning and its categories

  7. (supervised and unsupervised) algorithm,

  8. Introduction to Deep Learning (input layer, hidden layer and output layer)

  9. Al Uses and its various Applications

  10. Advantages and Disadvantages of Al

  11. Current Trends and Future Directions in Al

  12. Introduction to Neural Networks : What is neural network?

  13. What is Fuzzy Logic?

  14. and what is the meaning of Genetic Algorithms?

For Big Data:

  1. Big Data Concept

  2. Characteristics of Big Data

  3. History of Big Data

  4. Types of data

  5. Big Data Processing

  6. Databases( RDBMS & NoSQL)

  7. ETL vs ELT

  8. OLAP vs OLTP

  9. Data cleansing & modelling

  10. Data Engineering Life Cycle

  11. Big Data Frameworks( Hadoop I Hive I Spark )

  12. Big Data Programming Languages intro only (Python, Java, Scala )

  13. Big data jobs/career opportunities

For Networking:

  1. Centralized Computing

  2. Decentralized Computing

  3. Server-client

  4. Cloud computing

  5. Token Ring

  6. Ethernet 7 .MAC Address

  7. Port Numbers

  8. Switch

  9. Switch Techniques and Bridge

  10. Router

  11. OSI Layer

  12. IP Addressing

  13. Common TCP/IP stack Protocols:

  14. Common TCP/IP stack Protocols:

  15. ARP (Address Resolution Protocol)

  16. IP (Internet Protocol)

  17. ICMP (Internet Control Message Protocol

  18. TCP (Transmission Control Protocol)

  19. UDP (User Datagram Protocol)

  20. FTP (File Transfer Protocol)

  21. Telnet (Telecommunications Network)

  22. DNS (Domain Name System)

  23. HTTP (Hypertext Transfer Protocol)

// I will update the page oftenly and make sure to add the correct questions, 
so that it can help you in revisions :)

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Last updated 4 months ago