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HP HPE2-N69 Exam Syllabus Topics:

Topic	Details
Topic 1	Explain how the Machine Learning Development Environment uses resources and schedules workloads Understand the challenges customers face in training DL models
Topic 2	Demonstrate and explain how to use HPE Machine Learning Development Environment Describe the architecture for HPE Machine Learning Development solutions
Topic 3	Size HPE Machine Learning Development Environment and System solutions Understand machine learning (ML) and deep learning (DL) fundamentals

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HP Using HPE Cray AI Development Environment Sample Questions (Q14-Q19):

NEW QUESTION # 14
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 loss is metadata that indicates how many updates were lost between the conductor and agents.
• C. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.
• 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 # 15
Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?

• A. Look for a "determined-checkpoint/" bucket within Amazon S3, referencing your experiment ID.
• B. In the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.
• C. In the experiment config that you used, look for the "bucket" field under "hyperparameters." This is the UUID for checkpoints.
• D. Use the "det experiment download -top-n I" command, referencing the experiment ID.

Answer: D
NEW QUESTION # 16
What are the mechanics of now a model trains?

• A. Adjusts the model's parameter weights such that the model can Better perform its tasks
• B. Decides which algorithm can best meet the use case for the application in question
• C. Tests how accurately the model performs on a wide array of real world data
• D. Detects Data drift of content drift that might compromise the ML model's performance

Answer: B
NEW QUESTION # 17
You are meeting with a customer, and MUDL engineers express frustration about losing work flue to hardware failures. What should you explain about how HPE Machine Learning Development Environment addresses this pain point?

• A. The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
• B. The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
• C. The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
• D. The solution automatically mirrors the training process on redundant agents, which take over If an issue occurs.

Answer: B Explanation:
The best way to explain how HPE Machine Learning Development Environment addresses this pain point is to mention that the solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint. This ensures that in case of a hardware failure, the engineers will not lose their work and training can be resumed from the last successful checkpoint.
NEW QUESTION # 18
A customer is using fair-share scheduling for an HPE Machine Learning Development Environment resource pool. What is one way that users can obtain relatively more resource slots for their important experiments?

• A. Set the weight to a lower than default value.
• B. Set the priority to a lower than default value.
• C. Set the priority to a higher than default value.
• D. Set the weight to a higher than default value.

Answer: D
NEW QUESTION # 19
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