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 HPE2-N69 Dumps with Practice Exam Questions Answers

Questions: 40 questions

Last Update: May 25, 2024

HP Certification Exam HPE2-N69 has been designed to measure your skills in handling the technical tasks mentioned in the certification syllabus

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HPE2-N69 Questions and Answers

Question # 1

What distinguishes deep learning (DL) from other forms of machine learning (ML)?


Models based on neural networks with interconnected layers of nodes, including multiple hidden layers


Models defined with Apache Spark rather than MapReduce


Models that are trained through unsupervised, rather than supervised, training


Models trained through multiple training processes implemented by different team members

Question # 2

You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?


The number of servers in the cluster


The number of agent GPUs


The number of processor cores on agents


The number of processor cores on all servers in the cluster

Question # 3

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?


profiling: enabled: false


hyperparameters; optimizer:none


searcher: name: single


resources: slots_per_trial: 1

Question # 4

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?


How long does it currently take for a DL training to run the backward pass?


How much do you understand about building ML and DL models?


How much time do you spend managing the ML infrastructure?


What frustrations do you have with existing ML deployment and differencing solutions?

Question # 5

An HPE Machine Learning Development Environment resource pool uses priority scheduling with preemption disabled. Currently Experiment 1 Trial I is using 32 of the pool's 40 total slots; it has priority 42. Users then run two more experiments:

• Experiment 2:1 trial (Trial 2) that needs 24 slots; priority 50

• Experiment 3; l trial (Trial 3) that needs 24 slots; priority I

What happens?


Trial I is allowed to finish. Then Trial 3 is scheduled.


Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.


Trial 1 is allowed to finish. Then Trial 2 is scheduled.


Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.