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Download Using HPE Cray AI Development Environment Exam Dumps
NEW QUESTION 27
Where does TensorFlow fit in the ML/DL Lifecycle?
- A. It adds system and GPU monitoring to the training process.
- 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 provides pipelines to manage the complete lifecycle.
Answer: B
NEW QUESTION 28
An ML engineer is running experiments on HPE Machine Learning Development Environment. The engineer notices all of the checkpoints for a trial except one disappear after the trial ends. The engineer wants to Keep more of these checkpoints. What can you recommend?
- A. Double-checking that the checkpoint storage location is operating under 90% of total capacity.
- B. Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.
- C. Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.
- D. Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.
Answer: C
NEW QUESTION 29
What common challenge do ML teams lace in implementing hyperparameter optimization (HPO)?
- A. HPO is a joint ml and IT Ops effort, and engineers lack deep enough integration with the IT team.
- B. Implementing HPO manually can be time-consuming and demand a great deal of expertise.
- C. ML teams struggle to find large enough data sets to make HPO feasible and worthwhile.
- D. They cannot implement HPO on TensorFlow models, so they must move their models to a new framework.
Answer: A
NEW QUESTION 30
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 agents
- B. The number of processor cores on all servers in the cluster
- C. The number of agent GPUs
- D. The number of servers in the cluster
Answer: C
NEW QUESTION 31
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 a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.
- B. The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.
- C. The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.
- D. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
Answer: D
NEW QUESTION 32
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