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NEW QUESTION 49
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 upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
- B. 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.
- C. The engineer should run the “det preview-search” command, referencing the experiment config.
- D. The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
NEW QUESTION 50
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 automatically mirrors the training process on redundant agents, which take over If an issue occurs.
- B. The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
- C. The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
- D. The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
The best way to explain how HPE Machine Learning Development Environment addresses this pain point is to mention that the solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint. This ensures that in case of a hardware failure, the engineers will not lose their work and training can be resumed from the last successful checkpoint.
NEW QUESTION 51
At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?
- A. Any of the agent’s in an aux pool
- B. A virtual one assigned to the cluster
- C. Any of the agent’s in a compute pool
- D. The conductor’s
NEW QUESTION 52
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