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You want to open the conversation about HPE Machine Learning Development Environment with an IT contact at a customer. What can be a good discovery question?
NEW QUESTION 47
A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.
What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?
NEW QUESTION 48
Refer to the exhibit.
You are demonstrating HPE Machine Learning Development Environment, and you show details about an experiment, as shown in the exhibits. The customer asks about what "validation loss' means. What should you respond?
NEW QUESTION 49
What is the role of a hidden layer in an artificial neural network (ANN)?
NEW QUESTION 50
What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?
NEW QUESTION 51
......
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NEW QUESTION 46You want to open the conversation about HPE Machine Learning Development Environment with an IT contact at a customer. What can be a good discovery question?
- A. How long does it currently take for a DL training to run the backward pass?
- B. How much do you understand about building ML and DL models?
- C. How much time do you spend managing the ML infrastructure?
- D. What frustrations do you have with existing ML deployment and differencing solutions?
NEW QUESTION 47
A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.
What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?
- A. A lack of understanding of the DL model architecture by the NL engineering team
- B. The requirement that the ML team must wait for the IT team to initiate each new training process
- C. A lack of adequate power and cooling for the GPU-enabled servers
- D. The complexity of adjusting model code to distribute the training process across multiple GPUs
NEW QUESTION 48
Refer to the exhibit.
You are demonstrating HPE Machine Learning Development Environment, and you show details about an experiment, as shown in the exhibits. The customer asks about what "validation loss' means. What should you respond?
- A. Validation loss is metadata that indicates how many updates were lost between the conductor and agents.
- B. Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
- C. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.
- D. Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
NEW QUESTION 49
What is the role of a hidden layer in an artificial neural network (ANN)?
- A. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
- B. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
- C. It is responsible for passively reformatting data for use in the ANN.
- D. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
NEW QUESTION 50
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 validates trained models.
- D. It ensures experiment metadata is stored.
NEW QUESTION 51
......