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Download Using HPE Cray AI Development Environment Exam Dumps
NEW QUESTION 25
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 higher than default value.
- B. Set the priority to a lower than default value.
- C. Set the weight to a lower than default value.
- D. Set the priority to a higher than default value.
Answer: A
NEW QUESTION 26
What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?
- A. It validates trained models.
- B. It uploads model checkpoints.
- C. It ensures experiment metadata is stored.
- D. it downloads datasets for training.
Answer: B
NEW QUESTION 27
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. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
- B. Recording the name of a valid AWS EC2 keypair
- C. installing the NVIDIA Container Toolkit on your local machine
- D. Manually creating the AWS EC2 instance with a PostgreSQL database
Answer: C
NEW QUESTION 28
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 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
- B. Trial I is allowed to finish. Then Trial 3 is scheduled.
- C. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.
- D. Trial 1 is allowed to finish. Then Trial 2 is scheduled.
Answer: B
NEW QUESTION 29
What are the mechanics of now a model trains?
- A. Detects Data drift of content drift that might compromise the ML model's performance
- B. Adjusts the model's parameter weights such that the model can Better perform its tasks
- C. Decides which algorithm can best meet the use case for the application in question
- D. Tests how accurately the model performs on a wide array of real world data
Answer: C
NEW QUESTION 30
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