You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?

• A.The number of processor cores on all servers in the cluster
• B.The number of servers in the cluster
• C.The number of agent GPUs
• D.The number of processor cores on agents

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

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Where does TensorFlow fit in the ML/DL Lifecycle?

• A.it provides pipelines to manage the complete lifecycle.
• B.it helps engineers use a language like Python to code and trail DL models.
• C.It is primarily used to transport trained models to a deployment environment.
• D.It adds system and GPU monitoring to the training process.

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

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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 a preliminary experiment with one tenth the desired number of max trials, assess the results, and then run the full experiment.
• B.The engineer should run the "det preview-search" command, referencing the experiment config.
• C.The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
• D.The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.

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