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NEW QUESTION 36
What are the mechanics of now a model trains?

A. Detects Data drift of content drift that might compromise the ML model's performanceB. Tests how accurately the model performs on a wide array of real world dataC. Adjusts the model's parameter weights such that the model can Better perform its tasksD. Decides which algorithm can best meet the use case for the application in question

Answer: D

 

NEW QUESTION 37
Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?

A. Look for a "determined-checkpoint/" bucket within Amazon S3, referencing your experiment ID.B. In the experiment config that you used, look for the "bucket" field under "hyperparameters." This is the UUID for checkpoints.C. Use the "det experiment download -top-n I" command, referencing the experiment ID.D. In the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.

Answer: C

 

NEW QUESTION 38
You are meeting with a customer how has several DL models deployed. Out wants to expand the projects.
The ML/DL team is growing from 5 members to 7 members. To support the growing team, the customer has assigned 2 dedicated IT start. The customer is trying to put together an on-prem GPU cluster with at least 14 CPUs.
What should you determine about this customer?

A. The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.B. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.C. The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.D. The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.

Answer: B

 

NEW QUESTION 39
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