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NEW QUESTION # 48
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 HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.C. The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.D. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.

Answer: D


NEW QUESTION # 49
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 conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.C. The trial tails, and the ML engineer must restart it manually by re-running the experiment.D. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.

Answer: B

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 # 50
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 refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.B. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.C. Validation loss is metadata that indicates how many updates were lost between the conductor and agents.D. Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.

Answer: D


NEW QUESTION # 51
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 machineB. Manually creating the AWS EC2 instance with a PostgreSQL databaseC. Recording the name of a valid AWS EC2 keypairD. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account

Answer: A


NEW QUESTION # 52
A customer has Men expanding its deep learning (DO prefects and is confronting several challenges. Which of these challenges does HPE Machine Learning Development Environment specifically address?

A. Complex and time-consuming hyperparameter optimization (HPO)B. Complex and time-consuming data cleansing processC. Time-consuming data collectionD. Complex model deployment processes

Answer: A

Explanation:
The HPE Machine Learning Development Environment specifically addresses Complex and time-consuming hyperparameter optimization (HPO). HPO is a process used to identify the most effective set of hyperparameters for a given machine learning model. HPE's ML Development Environment provides a suite of tools that allow users to quickly and easily design and deploy deep learning models, as well as optimize their hyperparameters to get the best results.


NEW QUESTION # 53
......

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