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Download Using HPE Cray AI Development Environment Exam Dumps

NEW QUESTION 39
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. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
  • B. installing the NVIDIA Container Toolkit on your local machine
  • C. Recording the name of a valid AWS EC2 keypair
  • D. Manually creating the AWS EC2 instance with a PostgreSQL database

Answer: B

 

NEW QUESTION 40
A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.
What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?

  • A. A lack of understanding of the DL model architecture by the NL engineering team
  • B. A lack of adequate power and cooling for the GPU-enabled servers
  • C. The requirement that the ML team must wait for the IT team to initiate each new training process
  • D. The complexity of adjusting model code to distribute the training process across multiple GPUs

Answer: A

 

NEW QUESTION 41
An HPE Machine Learning Development Environment resource pool uses priority scheduling with preemption disabled. Currently Experiment 1 Trial I is using 32 of the pool's 40 total slots; it has priority 42. Users then run two more experiments:
* Experiment 2:1 trial (Trial 2) that needs 24 slots; priority 50
* Experiment 3; l trial (Trial 3) that needs 24 slots; priority I
What happens?

  • A. Trial I is allowed to finish. Then Trial 3 is scheduled.
  • B. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
  • C. Trial 1 is allowed to finish. Then Trial 2 is scheduled.
  • D. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.

Answer: A

 

NEW QUESTION 42
A customer mentions that the ML team wants to avoid overfitting models. What does this mean?

  • A. The team wants to spend less time figuring out which CPUs are available for training models.
  • B. The team wants to avoid training models to the point where they perform less well on new data.
  • C. The team wants to spend less time on creating the code tor models and more time training models.
  • D. The team wants to avoid wasting resources on training models with poorly selected hyperparameters.

Answer: A

 

NEW QUESTION 43
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 validation and checkpoint workloads.
  • D. They run non-distributed training workloads.

Answer: B

 

NEW QUESTION 44
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