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NEW QUESTION 28
An HPE Machine Learning Development Environment cluster has this resource pool:
Name: pool 1
Location: On-prem
Agents: 2
Aux containers per agent: 100
Total slots: 0
Which type of workload can run In pool I?
- A. Validation
- B. Training
- C. CPU-only Jupyter Notebook
- D. GPU Jupyter Notebook
Answer: C
NEW QUESTION 29
An ml engineer wants to train a model on HPE Machine Learning Development Environment without implementing hyper parameter optimization (HPO). What experiment config fields configure this behavior?
- A. profiling: enabled: false
- B. hyperparameters; optimizer:none
- C. searcher: name: single
- D. resources: slots_per_trial: 1
Answer: D
NEW QUESTION 30
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. In the experiment config that you used, look for the “bucket” field under “hyperparameters.” This is the UUID for checkpoints.
- B. In the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.
- C. Use the “det experiment download -top-n I” command, referencing the experiment ID.
- D. Look for a “determined-checkpoint/” bucket within Amazon S3, referencing your experiment ID.
Answer: C
NEW QUESTION 31
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. Deploying two HPE Machine Learning Development Environment clusters, one tor each server type
- B. Deploying servers with 8 GPUs as agents and using the conductor to run experiments that require only 2 GPUs
- C. Letting the conductor automatically determine which servers to use for each experiment, based on the number of resource slots required
- D. Establishing multiple compute resource pools on the cluster, one tor servers or each type
Answer: D
NEW QUESTION 32
ML engineers are defining a convolutional neural network (CNN) model bur they are not sure how many filters to use in each convolutional layer. What can help them address this concern?
- A. Using a variable learning late
- B. Training the model on multiple epochs
- C. Using hyperparameter optimization (HPO)
- D. Distributing the training across multiple CPUs
Answer: B
NEW QUESTION 33
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