Exam Name: HPE AI and Machine Learning
Certification Provider: HP
Corresponding Certification: High Performance Computing
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Instant Download HP : HPE2-T38
Check Updated on: Nov 03, 2026
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HP HPE2-T38 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| HPE vs Open Source Machine Learning Solutions | 7% | - Scalability and performance differences - Enterprise readiness and support - Feature comparison |
| HPE Machine Learning Offerings | 15% | - Aligning HPE solutions with customer requirements - Capabilities of HPE AI at-scale portfolio software - Different deployment models for HPE solutions |
| Business Value of HPE Machine Learning Solutions | 24% | - Differentiators compared to alternative solutions - Accelerated innovation and time-to-value - Cost optimization and efficiency benefits |
| Machine Learning Ecosystem Fundamentals | 13% | - Basics of machine learning technology - Components of a machine learning ecosystem - Challenges in training deep learning models |
| Requirements and Prerequisites for HPE Machine Learning Solutions | 13% | - Infrastructure and environment prerequisites - Hardware and software requirements |
| Using HPE Machine Learning Professional Development Kit (PDK) | 18% | - Data versioning and lineage management - Model deployment and monitoring - PDK fundamentals and architecture - Automation and integration workflows - Model training and optimization |
HPE AI and Machine Learning Sample Questions:
What is a ''neural network'' in ML?
Response:
- A. A database system
- B. An algorithm inspired by the human brain
- C. A type of programming language
- D. A hardware component for data processing
Correct Answer: B 🗳️
In terms of computational requirements, machine learning solutions generally need:
Response:
- A. Computational power only for model deployment
- B. Minimal computational power
- C. Significant computational resources for processing and analysis
- D. The same level of computation as basic web browsing
Correct Answer: C 🗳️
How does social media contribute to customer engagement?
Response:
- A. By providing a platform for two-way communication
- B. By automating customer services
- C. By decreasing brand visibility
- D. By limiting customer interactions
Correct Answer: A 🗳️
What role does personalization play in customer engagement?
Response:
- A. It makes communication more generic
- B. It is irrelevant in modern marketing
- C. It enhances customer experience and relevance
- D. It decreases customer satisfaction
Correct Answer: C 🗳️
What is ''bias'' in the context of ML?
Response:
- A. A model,s preference for certain data
- B. The cost of deploying a model
- C. The programming language used to build a model
- D. The storage capacity required for a model
Correct Answer: A 🗳️
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