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HP HPE2-N69 시험요강:

주제소개
주제 1
  • Demonstrate running a variety of experiment types on the HPE Machine Learning Development Environment
  • Describe how HPE Machine Learning Development Environment fits in the market
주제 2
  • Qualify customers for HPE Machine Learning Development Environment and System
  • Articulate the business case for HPE Machine Learning Development solutions
주제 3
  • Demonstrate and explain how to use HPE Machine Learning Development Environment
  • Describe the architecture for HPE Machine Learning Development solutions

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최신 HPE Product Certified - AI and Machine Learning HPE2-N69 무료샘플문제 (Q15-Q20):

질문 # 15
What is one key target vertical (or HPE Machine Learning Development solutions?

  • A. Retail
  • B. Hospitality
  • C. Manufacturing
  • D. K-12education

정답：C


질문 # 16
You want to set up a simple demo cluster for HPE Machine Learning Development Environment (or the open source Determined Al) on Amazon Web Services (AWS). You plan to use "det deploy" to set up the cluster. What is one prerequisite?

  • A. Manually creating the AWS EC2 instance with a PostgreSQL database
  • B. Recording the name of a valid AWS EC2 keypair
  • C. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
  • D. installing the NVIDIA Container Toolkit on your local machine

정답：B

설명：
In order to use the "det deploy" command to set up a cluster for HPE Machine Learning Development Environment (or the open source Determined Al) on Amazon Web Services (AWS), you will need to have a valid AWS EC2 keypair. The keypair will authenticate your access to the cluster and allow you to securely access the cluster once it is set up.


질문 # 17
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. Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.
  • B. Double-checking that the checkpoint storage location is operating under 90% of total capacity.
  • C. Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.
  • D. Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.

정답：C

설명：
The best recommendation for an ML engineer running experiments on HPE Machine Learning Development Environment to keep more of the checkpoints is to adjust the experiment config's checkpoint storage settings to save more of the latest and best checkpoints. This can be done by monitoring ongoing trials in the WebUI and clicking checkpoint flags to auto-save the desired checkpoints. Additionally, the engineer should double-check that the checkpoint storage location is operating under 90% of total capacity to ensure that enough capacity is available to store the checkpoints. Finally, they can adjust the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage if desired.


질문 # 18
At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?

  • A. A virtual one assigned to the cluster
  • B. Any of the agent's in an aux pool
  • C. The conductor's
  • D. Any of the agent's in a compute pool

정답：C

설명：
The WebUI for an HPE Machine Learning Development cluster can be accessed at the FQDN or IP address of the conductor. The conductor is responsible for managing the cluster and providing access to the WebUI.


질문 # 19
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 for "resources_per_trial?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

정답：C

설명：
The valid setting for "resourcespertrial" for the 10 agents in "my-compute-poor" with 8 GPUs each would be 20, as this would be the total number of GPUs available across all 10 agents. This setting would allow the experiment config to run on multiple GPUs at once.


질문 # 20
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