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Exam Code: HPE2-T38
Exam Name: HPE AI and Machine Learning
Exam Q&As: 278 Q&As
Last update: October 10, 2024

Product Description

Introduce HPE HPE2-T38 Exam

The HPE2-T38 HPE AI and Machine Learning Exam is a requirement for the HPE Product Certified – AI and Machine Learning certification. It validates that you can design and support solutions using HPE AI and Machine Learning Development Environment to easily implement and train machine learning models by removing complexities, optimizing costs, and accelerating innovation. The HPE2-T38 exam consists of 50 questions, lasts 90 minutes, and is available in English, Japanese, and Korean. To pass, you need a minimum score of 70%.

Learning HPE2-T38 Exam Objectives Is Strongly Recommended

  • Recognize the fundamentals of the technology.
  • Identify the challenges customers face in training DL models.
  • Classify Potential Components of an ML ecosystem.
  • Recite key capabilities of HPEs AI at-scale portfolio software
  • Align relevant HPE ML solutions to customer goals
  • Recognize different HPE deployment solutions
  • Compare HPE machine learning (ML) architecture and deployment options.
  • Recognize some common factors regarding required infrastructures.
  • Articulate the benefits of MLDMS
  • Articulate the benefits of MLDE
  • Describe how HPE AI offerings fit in the market.
  • Explain the fundamentals of PDK
  • Demonstrate an ability to engage with data versioning and lineage
  • Explain how to train a new model
  • Explain how to deploy the model
  • Demonstrate ability to automate and integrate these steps for deployment
  • Describe Current Enterprise features
  • Qualify customers for HPE AI offerings
  • Identify the appropriate personas for engagement
  • Demonstrate a proof of concept (PoC)

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