HP Exam HPE2-N69 Topic 6 Question 27 Discussion

Actual exam question for HP's HPE2-N69 exam

Question #: 27
Topic #: 6

A customer has Men expanding its deep learning (DO prefects and is confronting several challenges. Which of these challenges does HPE Machine Learning Development Environment specifically address?

ATime-consuming data collection

BComplex model deployment processes

CComplex and time-consuming data cleansing process

DComplex and time-consuming hyperparameter optimization (HPO)

Show Suggested Answer

Suggested Answer: D

The HPE Machine Learning Development Environment specifically addresses Complex and time-consuming hyperparameter optimization (HPO). HPO is a process used to identify the most effective set of hyperparameters for a given machine learning model. HPE's ML Development Environment provides a suite of tools that allow users to quickly and easily design and deploy deep learning models, as well as optimize their hyperparameters to get the best results.

by Chauncey at Feb 08, 2024, 06:30 PM

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Lorenza

1 days ago

I think HPE Machine Learning Development Environment addresses complex model deployment processes.

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