HPE AI and Machine Learning : HPE2-T38

Pass HPE2-T38 Exam Cram

Exam Code: HPE2-T38

Exam Name: HPE AI and Machine Learning

Updated: Aug 08, 2026

Q & A: 108 Questions and Answers

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HP HPE2-T38 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe Requirements and Prerequisites for HPE ML Solutions13%- Architecture and deployment
  • 1. HPE machine learning architecture
  • 2. Deployment options
  • 3. Infrastructure requirements
Topic 2: Compare HPE ML Enterprise Offerings to Open-Source Versions7%- Enterprise vs open-source comparison
  • 1. Enterprise features and advantages
  • 2. Scalability and management capabilities
Topic 3: Engage with Customers10%- Customer engagement and proof of concept
  • 1. Qualifying customers for HPE AI offerings
  • 2. Running proof-of-concept demonstrations
  • 3. Identifying engagement personas
Topic 4: Demonstrate and Explain How to Use HPE Machine Learning PDK18%- Using HPE ML PDK
  • 1. Data versioning and lineage
  • 2. Automation and integration workflows
  • 3. Training machine learning models
  • 4. Model deployment
Topic 5: Articulate the Business Value of HPE ML Solutions24%- Business value and positioning
  • 1. Benefits of Machine Learning Development Management System
  • 2. Benefits of Machine Learning Development Environment
  • 3. HPE AI market positioning
Topic 6: Examine HPE Machine Learning Offerings15%- HPE AI and ML portfolio
  • 1. HPE machine learning deployment solutions
  • 2. Capabilities of HPE AI-at-scale portfolio
  • 3. Aligning HPE ML solutions to customer goals
Topic 7: Understand Machine Learning Ecosystem Fundamentals13%- Machine learning technology fundamentals
  • 1. Components of machine learning ecosystems
  • 2. Challenges in deep learning model training
  • 3. Machine learning and deep learning concepts

HPE AI and Machine Learning Sample Questions:

1. What impact does storytelling have in engaging customers?
Response:

A) It is considered outdated in marketing
B) It helps in creating a deeper emotional connection
C) It makes brands less relatable
D) It confuses customers


2. HPE ProLiant Servers are optimized for:
Response:

A) Web hosting services
B) E-commerce platforms
C) Database management
D) Computer vision inference and natural language processing


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

A) Programming the model
B) Feeding data into the model to learn patterns
C) Deploying the model into production
D) Testing the model on new data


4. What is a key business advantage of using HPE''s ML solutions for data analysis?
Response:

A) Increased need for manual data analysis
B) Enhanced accuracy and insights from data
C) Slower decision-making processes
D) Increased data storage requirements


5. Which of these is a benefit of hosting events (online or offline) for customer engagement?
Response:

A) Overwhelming customers with information
B) Direct interaction and relationship building with customers
C) Reduced interest in new products or services
D) Decreased brand awareness


Solutions:

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

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