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NEW QUESTION 21
A customer is using fair-share scheduling for an HPE Machine Learning Development Environment resource pool. What is one way that users can obtain relatively more resource slots for their important experiments?

A. Set the weight to a higher than default value.B. Set the weight to a lower than default value.C. Set the priority to a lower than default value.D. Set the priority to a higher than default value.

Answer: A

 

NEW QUESTION 22
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. Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.D. Double-checking that the checkpoint storage location is operating under 90% of total capacity.

Answer: B

 

NEW QUESTION 23
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?

A. Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.B. Validation loss is metadata that indicates how many updates were lost between the conductor and agents.C. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.D. Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.

Answer: D

 

NEW QUESTION 24
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