HPE AI and Machine Learning : HPE2-T38

  • Exam Code: HPE2-T38
  • Exam Name: HPE AI and Machine Learning
  • Updated: Nov 07, 2026     Q & A: 108 Questions and Answers

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HP HPE2-T38 Exam Syllabus Topics:

SectionObjectives
Topic 1: Machine Learning Lifecycle- Data collection and preparation
- Model training, validation, and evaluation
- Model deployment and monitoring
Topic 2: Data Engineering for AI- Data pipelines and storage considerations
- Data preprocessing and feature engineering
Topic 3: Artificial Intelligence Fundamentals- AI use cases in enterprise environments
- Types of machine learning (supervised, unsupervised, reinforcement learning)
- Core AI concepts and terminology
Topic 4: HPE AI and Machine Learning Solutions- HPE GreenLake for AI workloads
- HPE Ezmeral for ML operations
- Hybrid cloud AI infrastructure concepts
Topic 5: MLOps and Operationalization- Model lifecycle management
- Automation and CI/CD for ML
- Monitoring and governance of ML systems

HPE AI and Machine Learning Sample Questions:

Question #1

In terms of initial setup and deployment, how do HPE Machine Learning solutions compare with open-source?
Response:

  • A. Both have similar setup and deployment processes
  • B. Open-source versions are quicker to deploy
  • C. HPE solutions typically offer smoother setup and deployment
  • D. HPE solutions are more complex to set up
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

What is a primary difference in support services between HPE Machine Learning offerings and open-source versions?
Response:

  • A. There is no difference in support
  • B. Open-source versions typically offer more extensive support
  • C. HPE offers professional, dedicated support
  • D. Open-source versions provide faster support
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

What does ''training a model'' in ML refer to?
Response:

  • A. Testing the model on new data
  • B. Deploying the model into production
  • C. Feeding data into the model to learn patterns
  • D. Programming the model
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #4

When considering long-term reliability and support, how do HPE Machine Learning solutions fare against open-source versions?
Response:

  • A. Neither is reliable in the long term
  • B. Both have similar reliability and support
  • C. HPE offers greater long-term reliability and support
  • D. Open-source versions are more reliable in the long term
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

Why are loyalty programs an effective tool in customer engagement?
Response:

  • A. They have no impact on customer behavior
  • B. They offer rewards and incentives for customer loyalty
  • C. They are only beneficial for high-spending customers
  • D. They discourage repeat purchases
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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