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NEW QUESTION 53
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. profiling: enabled: falseB. resources: slots_per_trial: 1C. hyperparameters; optimizer:noneD. searcher: name: single

Answer: B

 

NEW QUESTION 54
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 agent GPUsB. The number of processor cores on all servers in the clusterC. The number of processor cores on agentsD. The number of servers in the cluster

Answer: A

 

NEW QUESTION 55
Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?

A. Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.B. ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higher-performing configs.C. Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.D. Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.

Answer: C

 

NEW QUESTION 56
What is one key target vertical (or HPE Machine Learning Development solutions?

A. RetailB. ManufacturingC. K-12educationD. Hospitality

Answer: B

 

NEW QUESTION 57
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