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  • Exam Name: Using HPE AI and Machine Learning
  • Last Update: 05-Dec-2025
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HPE2-N69 Questions and Answers

Question # 1

Where does TensorFlow fit in the ML/DL Lifecycle?

A.

it helps engineers use a language like Python to code and trail DL models.

B.

it provides pipelines to manage the complete lifecycle.

C.

It is primarily used to transport trained models to a deployment environment.

D.

It adds system and GPU monitoring to the training process.

Question # 2

At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?

A.

Any of the agent's in a compute pool

B.

A virtual one assigned to the cluster

C.

The conductor's

D.

Any of the agent's in an aux pool

Question # 3

A customer is deploying HPE Machine learning Development Environment on on-prem infrastructure. The customer wants to run some experiments on servers with 8 NVIDIA A too GPUs and other experiments on servers with only Z NVIDIA T4 GPUs. What should you recommend?

A.

Letting the conductor automatically determine which servers to use for each experiment, based on the number of resource slots required

B.

Deploying two HPE Machine Learning Development Environment clusters, one tor each server type

C.

Deploying servers with 8 GPUs as agents and using the conductor to run experiments that require only 2 GPUs

D.

Establishing multiple compute resource pools on the cluster, one tor servers or each type

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