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NEW QUESTION 23
What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?
- A. It ensures experiment metadata is stored.
- B. It validates trained models.
- C. it downloads datasets for training.
- D. It uploads model checkpoints.
NEW QUESTION 24
A customer is deploying HPE Machine learning Development Environment on on-prem infrastructure. The customer wants to run some experiments on servers with 8 NVIDIA A too GPUs and other experiments on servers with only Z NVIDIA T4 GPUs. What should you recommend?
- A. Letting the conductor automatically determine which servers to use for each experiment, based on the number of resource slots required
- B. Deploying servers with 8 GPUs as agents and using the conductor to run experiments that require only 2 GPUs
- C. Deploying two HPE Machine Learning Development Environment clusters, one tor each server type
- D. Establishing multiple compute resource pools on the cluster, one tor servers or each type
By establishing multiple compute resource pools on the cluster, you can ensure that the correct servers are used for each experiment, depending on the number of GPUs required. This will help ensure that the experiments are run on the servers with the correct resources without having to manually assign each experiment to the appropriate server.
NEW QUESTION 25
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
- A. Trial 1 is allowed to finish. Then Trial 2 is scheduled.
- B. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.
- C. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
- D. Trial I is allowed to finish. Then Trial 3 is scheduled.
Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots. This is because priority scheduling is used in the HPE Machine Learning Development Environment resource pool, which means higher priority tasks will be given priority over lower priority tasks. As such, Trial 3 with priority 1 will be given priority over Trial 2 with priority 50.
NEW QUESTION 26
What is a benefit or HPE Machine Learning Development Environment, beyond open source Determined AI?
- A. Premium dedicated support
- B. Experiment tracking
- C. Distributed training
- D. Model Inferencing
The benefit of HPE Machine Learning Development Environment beyond open source Determined AI is Distributed Training. Distributed training allows multiple machines to train a single model in parallel, greatly increasing the speed and efficiency of the training process. HPE ML Development Environment provides tools and support for distributed training, allowing users to make the most of their resources and quickly train their models.
NEW QUESTION 27
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