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NEW QUESTION 20
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?

A. SlingshotB. Data Center Bridging (OCB)-enabled EthernetC. InfiniBandD. Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)

Answer: B

 

NEW QUESTION 21
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 higher than default value.C. Set the priority to a lower than default value.D. Set the weight to a higher than default value.

Answer: D

 

NEW QUESTION 22
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 tails, and the ML engineer must restart it manually by re-running the experiment.B. The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.C. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.D. The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.

Answer: D

 

NEW QUESTION 23
You are in a directory on your machine with your experiment config file and your model code. You enter this command:
det experiment create myfile.yaml
You receive this error:
det experiment create: error: the following arguments are required: model_def What should you do?

A. Re-enter the command with "-m" in which is the code filename.B. Make sure that the myfile.yaml tile includes code tor a PyTorchTrial or TFKerasTrial class.C. Re-enter the command with a period (.) at the end.D. Make sure that you have already logged into the cluster with the "det login'' command.

Answer: B

 

NEW QUESTION 24
What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?

A. it downloads datasets for training.B. It uploads model checkpoints.C. It ensures experiment metadata is stored.D. It validates trained models.

Answer: B

 

NEW QUESTION 25
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