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HP HPE2-N69 Exam With Confidence Using Practice Dumps

Exam Code:
HPE2-N69
Exam Name:
Using HPE AI and Machine Learning
Vendor:
Questions:
40
Last Updated:
Nov 21, 2024
Exam Status:
Stable
HP HPE2-N69

HPE2-N69: HPE Product Certified - AI and Machine Learning [2022] Exam 2024 Study Guide Pdf and Test Engine

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Using HPE AI and Machine Learning Questions and Answers

Question 1

An HPE Machine Learning Development Environment resource pool uses priority scheduling with preemption disabled. Currently Experiment 1 Trial I is using 32 of the pool's 40 total slots; it has priority 42. Users then run two more experiments:

• Experiment 2:1 trial (Trial 2) that needs 24 slots; priority 50

• Experiment 3; l trial (Trial 3) that needs 24 slots; priority I

What happens?

Options:

A.

Trial I is allowed to finish. Then Trial 3 is scheduled.

B.

Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.

C.

Trial 1 is allowed to finish. Then Trial 2 is scheduled.

D.

Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.

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Question 2

You want to set up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined all on a local machine. Which OS Is supported?

Options:

A.

HP-UX v11i

B.

Windows Server 2016 or above

C.

Windows 10 or above

D.

Red Hat 7-based Linux

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 ID.

C.

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

D.

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