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What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?
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.View AnswerAnswer: B
What are the mechanics of now a model trains?
What are the mechanics of now a model trains?A . Decides which algorithm can best meet the use case for the application in question B. Adjusts the model's parameter weights such that the model can Better perform its tasks C. Tests how accurately the model performs on a wide array...
What should you determine about this customer?
You are meeting with a customer how has several DL models deployed. Out wants to expand the projects. The ML/DL team is growing from 5 members to 7 members. To support the growing team, the customer has assigned 2 dedicated IT start. The customer is trying to put together an...
What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?
What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?A . Automated user provisioning B. Pipeline-based data management C. Distributed training D. Automated hyperparameter optimization (HPO)View AnswerAnswer: B
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?A . Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE) B. Slingshot C. InfiniBand D. Data Center Bridging (OCB)-enabled EthernetView AnswerAnswer: D
What does this mean?
A customer mentions that the ML team wants to avoid overfitting models. What does this mean?A . The team wants to avoid wasting resources on training models with poorly selected hyperparameters. B. The team wants to spend less time on creating the code tor models and more time training models....
What is one way that users can obtain relatively more resource slots for their important experiments?
A customer is using fair-share scheduling for an HPE Machine Learning Development Environment resource pool. What is one way that users can obtain relatively more resource slots for their important experiments?A . Set the weight to a higher than default value. B. Set the weight to a lower than default...
At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?
At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?A . Any of the agent's in a compute pool B. A virtual one assigned to the cluster C. The conductor's D. Any of the agent's in an aux poolView AnswerAnswer: D
What experiment config fields configure this behavior?
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: 1View AnswerAnswer: D
What can you do?
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"...
