Online Access Free HP.HPE2-N69.v2023-02-21.q13 Practice Test (Page 3)

HPE2-N69 Exam Question 6

An ML engineer is running experiments on HPE Machine Learning Development Environment. The engineer notices all of the checkpoints for a trial except one disappear after the trial ends. The engineer wants to Keep more of these checkpoints. What can you recommend?

A.Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.

B.Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.

C.Double-checking that the checkpoint storage location is operating under 90% of total capacity.

D.Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.

HPE2-N69 Exam Question 7

A trial is running on a GPU slot within a resource pool on HPE Machine Learning Development Environment.
That GPU fails. What happens next?

A.The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.

B.The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.

C.The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.

D.The trial tails, and the ML engineer must restart it manually by re-running the experiment.

HPE2-N69 Exam Question 8

What is one key target vertical (or HPE Machine Learning Development solutions?

A.K-12education

B.Hospitality

C.Retail

D.Manufacturing

HPE2-N69 Exam Question 9

What is a reason to use the best tit policy on an HPE Machine Learning Development Environment resource pool?

A.Ensuring that all experiments receive their fair share of resources

B.Equally distributing utilization across multiple agents

C.Minimizing costs in a cloud environment

D.Ensuring that the highest priority experiments obtain access to more resources

HPE2-N69 Exam Question 10

What is the role of a hidden layer in an artificial neural network (ANN)?

A.It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.

B.It receives and weighs inputs from the preceding layer and produces outputs for the next layer.

C.It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.

D.It is responsible for passively reformatting data for use in the ANN.

Other Version: 481HP.HPE2-N69.v2023-03-18.q19

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HPE2-N69 Exam Question 6

HPE2-N69 Exam Question 7

HPE2-N69 Exam Question 8

HPE2-N69 Exam Question 9

HPE2-N69 Exam Question 10

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