HP HPE2-T38 Exam

Description

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HP HPE2-T38 Exam Description and Topics

HPE2-T38 exam verifies 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 cost, and accelerating innovation. The ideal candidates for this exam are involved in technical presales, including those who can design and demonstrate machine learning solutions, and execute POCs, across the Machine Learning stack. The candidates can align relevant HPE Machine Learning solutions to customer goals and explain the unique benefits of a proposed solution in a way that the technical buyer can understand.

The exam will test a candidate’s knowledge of the following content:
Understand machine learning (ML) ecosystem fundamentals 13%
Examine the HPE ML Offerings 15%
Describe requirements and prerequisites for HPE machine learning solutions 13%
Articulate the business value of HPE ML solutions 24%
Demonstrate and explain how to use HPE machine learning (ML) [PDK] 18%
Compare HPE Machine Learning enterprise offerings to open-source versions 7%
Engage with customers 10%

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