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NEW QUESTION 36
You want to set up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined all on a local machine. Which OS Is supported?

• A. Windows Server 2016 or above
• B. HP-UX v11i
• C. Windows 10 or above
• D. Red Hat 7-based Linux

Answer: B

NEW QUESTION 37
Where does TensorFlow fit in the ML/DL Lifecycle?

• A. it provides pipelines to manage the complete lifecycle.
• B. it helps engineers use a language like Python to code and trail DL models.
• C. It adds system and GPU monitoring to the training process.
• D. It is primarily used to transport trained models to a deployment environment.

Answer: B

NEW QUESTION 38
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?

• A. InfiniBand
• B. Slingshot
• C. Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)
• D. Data Center Bridging (OCB)-enabled Ethernet

Answer: D

NEW QUESTION 39
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 1 is allowed to finish. Then Trial 2 is scheduled.
• C. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
• 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 40
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 refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
• B. Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
• C. Validation loss is metadata that indicates how many updates were lost between the conductor and agents.
• D. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.

Answer: A

NEW QUESTION 41
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