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HP HPE2-N69 Exam Syllabus Topics:

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HP Using HPE Cray AI Development Environment Sample Questions (Q20-Q25):

NEW QUESTION # 20
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 servers in the cluster
• C. The number of processor cores on all servers in the cluster
• D. The number of agent GPUs

Answer: D

NEW QUESTION # 21
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?

• A. Set the "scheduling_unit" to cap the number of resource slots used 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. Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.
• D. Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.

Answer: C

NEW QUESTION # 22
A trial is running on a GPU slot within a resource pool on HPE Machine Learning Development Environment.
That GPU fails. What happens next?

• A. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.
• B. The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.
• C. The trial tails, and the ML engineer must restart it manually by re-running the experiment.
• D. The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.

Answer: D

NEW QUESTION # 23
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 host management software such as the conductor and HPCM.
• C. They run non-distributed training workloads.
• D. They run validation and checkpoint workloads.

Answer: B

Explanation:
HPE ProLiant DL325 servers play an important role in the HPE Machine Learning Development System. They are used to host the management software such as the Conductor and HPCM, and they also run non-distributed training workloads that do not require GPUs. They can also be used to run validation and checkpoint workloads.

NEW QUESTION # 24
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 a key target for an HPE Machine Learning Development solution, and you should continue the discussion.
• C. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
• D. The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.

Answer: C

NEW QUESTION # 25
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