Real HPE2-B08 Exam Dumps (V8.02) for HPE Private Cloud AI Solutions Exam Preparation: Practice with the Latest Exam Questions and Answers

1. What key component impacts AI system configuration size?

2. What is the primary role of HPE Machine Learning Development Environment (MLDE) in AI workloads?

3. How does HPE Ezmeral AI support AI workloads?

4. What factors influence an AI deployment strategy? (Select two.)

5. What is a critical factor when selecting compute resources for AI workloads in HPE Private Cloud AI?

6. What factors impact AI model performance in different configuration sizes? (Select two.)

7. What are the three primary types of AI?

8. An AI research lab requires a high-speed interconnect to handle AI model training data.

What should they implement?

9. What are key differences between AI training and inference? (Select two.)

10. What are key benefits of HPE AI software solutions? (Select two.)

11. How does NVIDIA AI Enterprise enhance AI applications in HPE Private Cloud AI?

12. What are key considerations when deploying AI models in HPE Private Cloud AI? (Select two.)

13. What are core infrastructure components of HPE Private Cloud AI?

14. How does NVIDIA AI Enterprise enhance AI workloads on HPE Private Cloud AI?

15. What is a key difference between public and private cloud AI configurations?

16. A retail business wants to implement AI for customer insights and sales forecasting.

What AI techniques should they consider? (Select two.)

17. A global research institution is selecting an AI configuration for deep learning workloads.

What key components should they prioritize? (Select two.)

18. A retail company wants to deploy an AI-powered recommendation engine that can scale dynamically with customer data growth.

What is the best approach?

19. What are key storage considerations for AI workloads? (Select two.)

20. How does Machine Learning (ML) differ from traditional AI?

21. A manufacturing company wants to use AI to predict machinery failures before they occur.

Which AI approach should they use?

22. In which industries is AI commonly used? (Select two.)

23. What are characteristics of supervised and unsupervised learning? (Select two.)

24. How does One Config Advanced (OCA) help in building an HPE Private Cloud AI configuration?

25. What are key benefits of using HPE GreenLake for AI workloads? (Select two.)

26. A company wants to build an AI-powered chatbot for customer support.

Which AI approach should they use?

27. How does HPE support AI deployment at the edge?

28. What infrastructure components in HPE Private Cloud AI enable scalability for AI workloads? (Select two.)

29. What are key networking considerations for AI workloads in HPE Private Cloud AI? (Select two.)

30. What are important considerations when evaluating AI model performance? (Select two.)