Online Access Free HPE2-N69 Practice Test

What is a benefit or HPE Machine Learning Development Environment, beyond open source Determined AI?

• A.Distributed training
• B.Model Inferencing
• C.Experiment tracking
• D.Premium dedicated support

A trial is running on a GPU slot within a resource pool on HPE Machine Learning Development Environment. That GPU fails. What happens next?

• A.The trial tails, and the ML engineer must restart it manually by re-running the experiment.
• B.The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.
• C.The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.
• D.The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.

What is one key target vertical (or HPE Machine Learning Development solutions?

• A.Hospitality
• B.Retail
• C.Manufacturing
• D.K-12education

What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?

• A.Automated user provisioning
• B.Automated hyperparameter optimization (HPO)
• C.Distributed training
• D.Pipeline-based data management

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