HP HPE2-T38 : HPE AI and Machine Learning

  • Exam Code: HPE2-T38
  • Exam Name: HPE AI and Machine Learning
  • Updated: Sep 30, 2026
  • Q & A: 108 Questions and Answers

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HP HPE2-T38 Exam Syllabus Topics:

SectionObjectives
HPE AI and Machine Learning Solutions- HPE Ezmeral for ML operations
- Hybrid cloud AI infrastructure concepts
- HPE GreenLake for AI workloads
Artificial Intelligence Fundamentals- AI use cases in enterprise environments
- Core AI concepts and terminology
- Types of machine learning (supervised, unsupervised, reinforcement learning)
Data Engineering for AI- Data preprocessing and feature engineering
- Data pipelines and storage considerations
Machine Learning Lifecycle- Model training, validation, and evaluation
- Data collection and preparation
- Model deployment and monitoring
MLOps and Operationalization- Model lifecycle management
- Monitoring and governance of ML systems
- Automation and CI/CD for ML

HPE AI and Machine Learning Sample Questions:

Question #1

When using the HPE ML PDK, how is model training typically conducted?
Response:

  • A. Using predefined models without customization
  • B. Leveraging the kit's tools for efficient model training
  • C. Manually programming each model
  • D. Outsourcing model training to third-party services
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

What is a key benefit of HPE Machine Learning solutions in terms of integration with existing enterprise systems?
Response:

  • A. Similar integration challenges as open-source
  • B. Easier and more seamless integration
  • C. No integration capabilities
  • D. More complex integration than open-source
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Which is a common metric for evaluating classification models?
Response:

  • A. R-squared
  • B. Mean Squared Error
  • C. Root Mean Squared Error
  • D. Accuracy
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

What role does ''data normalization'' play in ML?
Response:

  • A. Simplifying the programming process
  • B. Reducing data storage needs
  • C. Enhancing model security
  • D. Improving algorithm performance
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

How can HPE ML solutions influence a company''s competitive edge?
Response:

  • A. By maintaining the status quo
  • B. By focusing solely on past achievements
  • C. By reducing the company,s market relevance
  • D. By providing advanced analytics to stay ahead of trends
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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