Pass Guaranteed 2023 HP HPE2-N69: Using HPE Cray AI Development Environment Marvelous New Study Questions

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The HPE Cray AI Development Environment is a popular platform for building and deploying AI solutions. It provides a comprehensive set of tools and services that enable developers to create AI models quickly and efficiently. The HPE2-N69 certification exam is designed to test the candidate's knowledge of the HPE Cray AI Development Environment and their ability to use it to build AI solutions.

HP Using HPE Cray AI Development Environment Sample Questions (Q27-Q32):

NEW QUESTION # 27
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 trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.
B. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.
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

Explanation:
If a GPU fails during a trial running on a resource pool on HPE Machine Learning Development Environment, the conductor will reschedule the trial on another available GPU in the pool, and the trial will restart from the latest checkpoint. The trial will not fail, and the ML engineer will not have to manually restart it from the latest checkpoint using the WebUI.

NEW QUESTION # 28
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 time do you spend managing the ML infrastructure?
B. What frustrations do you have with existing ML deployment and differencing solutions?
C. How much do you understand about building ML and DL models?
D. How long does it currently take for a DL training to run the backward pass?

Answer: D

NEW QUESTION # 29
Refer to the exhibit.

You are demonstrating HPE Machine Learning Development Environment, and you show details about an experiment, as shown in the exhibits. The customer asks about what "validation loss' means. What should you respond?

A. Validation loss is metadata that indicates how many updates were lost between the conductor and agents.
B. Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
C. Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
D. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.

Answer: B

NEW QUESTION # 30
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. installing the NVIDIA Container Toolkit on your local machine
B. Recording the name of a valid AWS EC2 keypair
C. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
D. Manually creating the AWS EC2 instance with a PostgreSQL database

Answer: A

NEW QUESTION # 31
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 run validation and checkpoint workloads.
C. They run non-distributed training workloads.
D. They host management software such as the conductor and HPCM.

Answer: D

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 # 32
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