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HPE2-N69 dumps questions answers

HP HPE2-N69 Dumps

Exam Code:
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Using HPE AI and Machine Learning
Last Update: Nov 27, 2022
40 Questions
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Using HPE AI and Machine Learning Questions and Answers

Questions 1

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?



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


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


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


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

Questions 2

Refer to the exhibit.

You are demonstrating HPE Machine Learning Development Environment, and you show details about an experiment, as shown in the exhibits. The customer asks about what "validation loss' means. What should you respond?



Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.


Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.


Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.


Validation loss is metadata that indicates how many updates were lost between the conductor and agents.

Questions 3

An ml engineer wants to train a model on HPE Machine Learning Development Environment without implementing hyper parameter optimization (HPO). What experiment config fields configure this behavior?



profiling: enabled: false


hyperparameters; optimizer:none


searcher: name: single


resources: slots_per_trial: 1