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Download Using HPE Cray AI Development Environment Exam Dumps

NEW QUESTION 44
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. Double-checking that the checkpoint storage location is operating under 90% of total capacity.
• B. Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.
• C. Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.
• D. Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.

Answer: B

NEW QUESTION 45
The ML engineer wants to run an Adaptive ASHA experiment with hundreds of trials. The engineer knows that several other experiments will be running on the same resource pool, and wants to avoid taking up too large a share of resources. What can the engineer do in the experiment config file to help support this goal?

• A. Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.
• B. Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
• C. Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
• D. Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.

Answer: D

NEW QUESTION 46
A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.
What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?

• A. The requirement that the ML team must wait for the IT team to initiate each new training process
• B. A lack of adequate power and cooling for the GPU-enabled servers
• C. The complexity of adjusting model code to distribute the training process across multiple GPUs
• D. A lack of understanding of the DL model architecture by the NL engineering team

Answer: D

NEW QUESTION 47
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