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HPE2-N69 Dumps - Using HPE AI and Machine Learning Practice Exam Questions

HP HPE2-N69 - HPE Product Certified - AI and Machine Learning [2022] Practice Exam

  • Certification Provider:HP
  • Exam Code:HPE2-N69
  • Exam Name:Using HPE AI and Machine Learning
  • Certification Name:HPE Product Certified - AI and Machine Learning [2022]
  • Total Questions:40 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current HPE2-N69 exam blueprint. Updated on Dec 1, 2025
  • Product Format: PDF (Portable) & Test Engine (Interactive) .
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HP HPE2-N69 This Week Results

HPE2-N69 Question and Answers

Question # 1

What is a benefit of HPE Machine Learning Development Environment mat tends to resonate with executives?

Options:

A.  

It uses a centralized training architecture that is highly efficient.

B.  

It helps DL projects complete faster for a faster ROI.

C.  

It helps companies deploy models and generate revenue.

D.  

It automatically cleans up data to create better end results.

Discussion 0
Question # 2

You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?

Options:

A.  

The number of servers in the cluster

B.  

The number of agent GPUs

C.  

The number of processor cores on agents

D.  

The number of processor cores on all servers in the cluster

Discussion 0
Question # 3

Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?

Options:

A.  

In the experiment config that you used, look for the "bucket" field under "hyperparameters." This is the UUID for checkpoints.

B.  

Use the "det experiment download -top-n I" command, referencing the experiment I

D.  

C.  

In the Web Ul, go to the Task page and click the checkpoint task that has the experiment I

D.  

D.  

Look for a "determined-checkpoint/" bucket within Amazon S3, referencing your experiment I

D.  

Discussion 0

PDF vs Software Version

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