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Download Using HPE Cray AI Development Environment Exam Dumps
NEW QUESTION 45
A customer has Men expanding its deep learning (DO prefects and is confronting several challenges. Which of these challenges does HPE Machine Learning Development Environment specifically address?
- A. Time-consuming data collection
- B. Complex model deployment processes
- C. Complex and time-consuming data cleansing process
- D. Complex and time-consuming hyperparameter optimization (HPO)
Answer: C
NEW QUESTION 46
Where does TensorFlow fit in the ML/DL Lifecycle?
- A. it helps engineers use a language like Python to code and trail DL models.
- B. It is primarily used to transport trained models to a deployment environment.
- C. it provides pipelines to manage the complete lifecycle.
- D. It adds system and GPU monitoring to the training process.
Answer: A
NEW QUESTION 47
A customer mentions that the ML team wants to avoid overfitting models. What does this mean?
- A. The team wants to spend less time figuring out which CPUs are available for training models.
- B. The team wants to spend less time on creating the code tor models and more time training models.
- C. The team wants to avoid training models to the point where they perform less well on new data.
- D. The team wants to avoid wasting resources on training models with poorly selected hyperparameters.
Answer: A
NEW QUESTION 48
You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?
- A. The number of servers in the cluster
- B. The number of agent GPUs
- C. The number of processor cores on all servers in the cluster
- D. The number of processor cores on agents
Answer: B
NEW QUESTION 49
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. GPU Jupyter Notebook
- B. Training
- C. Validation
- D. CPU-only Jupyter Notebook
Answer: D
NEW QUESTION 50
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