Questions Bank

Questions: (2 Marks)

1. What is AI-enabled IT?
2. How does AI differ from traditional IT?
3. Name one application of AI in cybersecurity.
4. What is the role of machine learning in AI-enabled IT?
5. Give an example of an AI algorithm used in IT applications.
6. What is NLP, and how is it applied in AI-enabled IT?
7. Name one challenge of using AI in IT systems.
8. Provide one real-world use case of AI-enabled IT in healthcare.
9. What is predictive analytics, and how is it used in AI-enabled IT?
10. How can AI-powered chatbots enhance customer support in IT services?
11. Define anomaly detection and its role in AI-enabled IT.
12. What are the potential benefits of integrating AI into IT operations?
13. Name one popular deep learning algorithm used in AI-enabled IT.
14. How can AI be used for data analysis in IT?
15. What is the impact of AI on job roles in the IT industry?
16. Define the concept of reinforcement learning in AI-enabled IT.
17. Name one popular framework for implementing AI in IT systems.
18. How can AI optimize IT infrastructure management?
19. Discuss one ethical consideration related to using AI in IT.
20. What are the future trends expected in AI-enabled IT?

  Question Bank: (5 Marks)

1. What is AI-enabled IT, and how does it differ from traditional IT?
2. How can AI be used to enhance cybersecurity in IT systems?
3. What are the potential benefits of integrating AI into IT operations and management?
4. Explain the concept of machine learning and its role in AI-enabled IT.
5. What are some popular AI algorithms used in IT applications?
6. How can natural language processing (NLP) be applied in AI-enabled IT?
7. Discuss the challenges and ethical considerations related to using AI in IT.
8. What are some real-world use cases of AI-enabled IT in industries such as healthcare, finance, or retail?
9. Explain the concept of predictive analytics and its role in AI-enabled IT.
10. How can AI-powered chatbots improve customer support in IT services?
11. Discuss the role of AI in automating IT operations and reducing manual effort.
12. What are the potential risks and limitations of relying heavily on AI in IT systems?
13. Explain the concept of anomaly detection and how AI can help in identifying anomalies in IT networks.
14. How can AI be used in IT infrastructure management and optimization?
15. Discuss the concept of reinforcement learning and its applications in AI-enabled IT.
16. What are some popular frameworks or libraries used for implementing AI in IT systems?
17. Explain the concept of deep learning and its significance in AI-enabled IT.
18. How can AI be leveraged for data analysis and decision-making in IT?
19. Discuss the impact of AI on job roles and skills required in the IT industry.
20. What are the future trends and advancements expected in AI-enabled IT?