Online Access Free HPE2-N69 Exam Questions

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 receives and weighs inputs from the preceding layer and produces outputs for the next layer.
• C.It is responsible for passively reformatting data for use in the ANN.
• D.It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.

What are the mechanics of now a model trains?

• A.Adjusts the model's parameter weights such that the model can Better perform its tasks
• B.Tests how accurately the model performs on a wide array of real world data
• C.Detects Data drift of content drift that might compromise the ML model's performance
• D.Decides which algorithm can best meet the use case for the application in question

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.Letting the conductor automatically determine which servers to use for each experiment, based on the number of resource slots required
• C.Establishing multiple compute resource pools on the cluster, one tor servers or each type
• D.Deploying servers with 8 GPUs as agents and using the conductor to run experiments that require only 2 GPUs

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.Validation
• C.CPU-only Jupyter Notebook
• D.Training

An ML engineer is running experiments on HPE Machine Learning Development Environment. The engineer notices all of the checkpoints for a trial except one disappear after the trial ends. The engineer wants to Keep more of these checkpoints. What can you recommend?

• A.Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.
• B.Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.
• C.Double-checking that the checkpoint storage location is operating under 90% of total capacity.
• D.Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.