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HP HPE2-T38 Exam Syllabus Topics:

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

HPE AI and Machine Learning Sample Questions:

How does offering customer support via multiple channels (omnichannel) benefit engagement?
Response:

  • A. It limits customer access to support
  • B. Enhances customer convenience and accessibility
  • C. It is less effective than single-channel support
  • D. Overwhelms customers with choices
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

The HPE Machine Learning Development System helps reduce:
Response:

  • A. Legal risks
  • B. IT complexity
  • C. Production timelines
  • D. Marketing costs
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

How is user training typically addressed in the HPE ML PDK?
Response:

  • A. Through extensive in-person training sessions
  • B. Solely through third-party training providers
  • C. It is not provided
  • D. Via online tutorials and documentation
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Which of these is a type of supervised learning?
Response:

  • A. Association
  • B. Dimensionality Reduction
  • C. Clustering
  • D. Regression
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

HPE ProLiant Servers are best suited for:
Response:

  • A. Educational platforms
  • B. High-frequency trading
  • C. Website development
  • D. AI tasks like visual AI and language processing
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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