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Latest HP HPE2-N69 Braindumps Files | Test HPE2-N69 Cram

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    HP Using HPE Cray AI Development Environment Sample Questions (Q32-Q37):

    NEW QUESTION # 32
    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, but you could recommend open-source Determined Al.
    • C. The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.
    • D. The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.

    Answer: B


    NEW QUESTION # 33
    The 10 agents in "my-compute-poor nave 8 GPUs each, you want to change an experiment config to run on multiple GPUs at once. What Is a valid setting tor "resources_per_trial?

    • A. 0
    • B. 1
    • C. 2
    • D. 3

    Answer: B


    NEW QUESTION # 34
    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 all servers in the cluster
    • B. The number of processor cores on agents
    • C. The number of servers in the cluster
    • D. The number of agent GPUs

    Answer: D


    NEW QUESTION # 35
    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?

    • A. How much do you understand about building ML and DL models?
    • B. How much time do you spend managing the ML infrastructure?
    • C. What frustrations do you have with existing ML deployment and differencing solutions?
    • D. How long does it currently take for a DL training to run the backward pass?

    Answer: C

    Explanation:
    A good discovery question to start a conversation about HPE Machine Learning Development Environment with an IT contact at a customer would be: "What frustrations do you have with existing ML deployment and differencing solutions?" By understanding the customer's current challenges and frustrations, you can better determine how HPE's ML Development Environment could help to address those needs.


    NEW QUESTION # 36
    What distinguishes deep learning (DL) from other forms of machine learning (ML)?

    • A. Models defined with Apache Spark rather than MapReduce
    • B. Models based on neural networks with interconnected layers of nodes, including multiple hidden layers
    • C. Models that are trained through unsupervised, rather than supervised, training
    • D. Models trained through multiple training processes implemented by different team members

    Answer: C


    NEW QUESTION # 37
    ......

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