Free Access HP.HPE2-N69.v2023-07-19.q27 Practice Test (Page 6)

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

A.Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.

B.Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.

C.ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higher-performing configs.

D.Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.

What is a benefit of HPE Machine Learning Development Environment mat tends to resonate with executives?

A.It uses a centralized training architecture that is highly efficient.

B.It helps DL projects complete faster for a faster ROI.

C.It helps companies deploy models and generate revenue.

D.It automatically cleans up data to create better end results.

What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?

A.They run training workloads that do not require GPUs.

B.They run validation and checkpoint workloads.

C.They run non-distributed training workloads.

D.They host management software such as the conductor and HPCM.

What are the mechanics of now a model trains?

A.Tests how accurately the model performs on a wide array of real world data

B.Adjusts the model's parameter weights such that the model can Better perform its tasks

C.Detects Data drift of content drift that might compromise the ML model's performance

D.Decides which algorithm can best meet the use case for the application in question

What is a reason to use the best tit policy on an HPE Machine Learning Development Environment resource pool?

A.Ensuring that all experiments receive their fair share of resources

B.Minimizing costs in a cloud environment

C.Equally distributing utilization across multiple agents

D.Ensuring that the highest priority experiments obtain access to more resources

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