HPE AI and Machine Learning : HPE2-T38 Exam Questions

  • Exam Code: HPE2-T38
  • Exam Name: HPE AI and Machine Learning
  • Updated: Aug 24, 2026
  • Q&As: 108 Questions and Answers

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HPE2-T38 exam dumps

HP HPE2-T38 Exam Syllabus Topics:

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

HPE AI and Machine Learning Sample Questions:

1. 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) No integration capabilities
C) More complex integration than open-source
D) Easier and more seamless integration


2. What kind of network infrastructure is beneficial for deploying machine learning solutions?
Response:

A) An isolated network without internet access
B) A network with limited bandwidth
C) A network with high latency
D) A robust network with high throughput


3. Which of the following is an example of unsupervised learning?
Response:

A) Logistic Regression
B) K-Means Clustering
C) Linear Regression
D) Decision Trees


4. How do community resources and support compare between HPE Machine Learning solutions and open-source versions?
Response:

A) Both have equally strong community support
B) Neither has community support
C) Open-source has a more extensive community and resources
D) HPE has a larger community support


5. What is an important aspect of customer service in customer engagement?
Response:

A) Outsourcing customer service to reduce costs
B) Quick and helpful responses to customer queries
C) Delayed responses to inquiries
D) Automated responses without personalization


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: B

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