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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 40
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?- A. InfiniBand
- B. Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)
- C. Slingshot
- D. Data Center Bridging (OCB)-enabled Ethernet
Answer: D
NEW QUESTION 41
What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?- A. Pipeline-based data management
- B. Automated user provisioning
- C. Automated hyperparameter optimization (HPO)
- D. Distributed training
Answer: A
NEW QUESTION 42
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?- A. resources: slots_per_trial: 1
- B. searcher: name: single
- C. hyperparameters; optimizer:none
- D. profiling: enabled: false
Answer: A
NEW QUESTION 43
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