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Using HPE AI and Machine Learning

Last Update Apr 17, 2024
Total Questions : 40

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Last Update Apr 17, 2024
Total Questions : 40

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Total Questions : 40

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Using HPE AI and Machine Learning Questions and Answers

Questions 1

You want to open the conversation about HPE Machine Learning Development Environment with an IT contact at a customer. What can be a good discovery question?

Options:

A.

How long does it currently take for a DL training to run the backward pass?

B.

How much do you understand about building ML and DL models?

C.

How much time do you spend managing the ML infrastructure?

D.

What frustrations do you have with existing ML deployment and differencing solutions?

Questions 2

A company has an HPE Machine Learning Development Environment cluster. The ML engineers store training and validation data sets in Google Cloud Storage (GCS). What is an advantage of streaming the data during a trial, as opposed to downloading the data?

Options:

A.

Streaming requires just one bucket, while downloading requires many.

B.

The trial can more quickly start up and begin training the model.

C.

The trial can better separate training and validation data.

D.

Setting up streaming is easier that setting up downloading.

Questions 3

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?

Options:

A.

Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.

B.

Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.

C.

Set the "scheduling_unit" to cap the number of resource slots used 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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