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NEW QUESTION 27
You are meeting with a customer, and MUDL engineers express frustration about losing work flue to hardware failures. What should you explain about how HPE Machine Learning Development Environment addresses this pain point?
- A. The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
- B. The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
- C. The solution automatically mirrors the training process on redundant agents, which take over If an issue occurs.
- D. The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
Answer: C
NEW QUESTION 28
You are helping a customer start to implement hyper parameter optimization (HPO) with HPE Machine learning Development Environment. An ML engineer is putting together an experiment config file with the desired Adaptive A5HA settings. The engineer asks you questions, such as how many trials will be trained on the max length and what the min length for all trials will be.
What should you explain?
- A. The engineer should run the "det preview-search" command, referencing the experiment config.
- B. The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
- C. The engineer should run a preliminary experiment with one tenth the desired number of max trials, assess the results, and then run the full experiment.
- D. The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
Answer: C
NEW QUESTION 29
What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?
- A. They host management software such as the conductor and HPCM.
- B. They run training workloads that do not require GPUs.
- C. They run validation and checkpoint workloads.
- D. They run non-distributed training workloads.
Answer: A
NEW QUESTION 30
The 10 agents in "my-compute-poor nave 8 GPUs each, you want to change an experiment config to run on multiple GPUs at once. What Is a valid setting tor "resources_per_trial?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 31
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