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HP HPE2-N69 Practice Test - Questions Answers, Page 3

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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 on-prem GPU cluster with at least 14 CPUs. What should you determine about this customer?
What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?
You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?
You are meeting with a customer, and MUDL engineers express frustration about losing work flue to hardware failures. What should you explain about how HPE Machine Learning Development Environment addresses this pain point?
What is a benefit of HPE Machine Learning Development Environment mat tends to resonate with executives?
At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?
Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?
A company has an HPE Machine Learning Development Environment cluster. The ML engineers store training and validation data sets in Google Cloud Storage (GCS). What is an advantage of streaming the data during a trial, as opposed to downloading the data?
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?
What common challenge do ML teams lace in implementing hyperparameter optimization (HPO)?

Question 21

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You are meeting with a customer, and MUDL engineers express frustration about losing work flue to hardware failures. What should you explain about how HPE Machine Learning Development Environment addresses this pain point?

A.
The solution automatically mirrors the training process on redundant agents, which take over If an issue occurs.
A.
The solution automatically mirrors the training process on redundant agents, which take over If an issue occurs.
Answers
B.
The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
B.
The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
Answers
C.
The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
C.
The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
Answers
D.
The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
D.
The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
Answers
Suggested answer: A

Question 22

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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
A.
Any of the agent's in a compute pool
Answers
B.
A virtual one assigned to the cluster
B.
A virtual one assigned to the cluster
Answers
C.
The conductor's
C.
The conductor's
Answers
D.
Any of the agent's in an aux pool
D.
Any of the agent's in an aux pool
Answers
Suggested answer: D

Question 23

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What is the role of a hidden layer in an artificial neural network (ANN)?

A.
It is responsible for passively reformatting data for use in the ANN.
A.
It is responsible for passively reformatting data for use in the ANN.
Answers
B.
It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
B.
It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
Answers
C.
It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
C.
It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
Answers
D.
It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
D.
It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
Answers
Suggested answer: D

Question 24

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

Question 25

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You are in a directory on your machine with your experiment config file and your model code. You enter this command: det experiment create myfile.yaml You receive this error: det experiment create: error: the following arguments are required: model_def What should you do?

A.
Re-enter the command with "-m" in which is the code filename.
A.
Re-enter the command with "-m" in which is the code filename.
Answers
B.
Make sure that the myfile.yaml tile includes code tor a PyTorchTrial or TFKerasTrial class.
B.
Make sure that the myfile.yaml tile includes code tor a PyTorchTrial or TFKerasTrial class.
Answers
C.
Re-enter the command with a period (.) at the end.
C.
Re-enter the command with a period (.) at the end.
Answers
D.
Make sure that you have already logged into the cluster with the "det login'' command.
D.
Make sure that you have already logged into the cluster with the "det login'' command.
Answers
Suggested answer: B

Question 26

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

A.
The number of servers in the cluster
A.
The number of servers in the cluster
Answers
B.
The number of agent GPUs
B.
The number of agent GPUs
Answers
C.
The number of processor cores on agents
C.
The number of processor cores on agents
Answers
D.
The number of processor cores on all servers in the cluster
D.
The number of processor cores on all servers in the cluster
Answers
Suggested answer: B

Question 27

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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?

A.
How long does it currently take for a DL training to run the backward pass?
A.
How long does it currently take for a DL training to run the backward pass?
Answers
B.
How much do you understand about building ML and DL models?
B.
How much do you understand about building ML and DL models?
Answers
C.
How much time do you spend managing the ML infrastructure?
C.
How much time do you spend managing the ML infrastructure?
Answers
D.
What frustrations do you have with existing ML deployment and differencing solutions?
D.
What frustrations do you have with existing ML deployment and differencing solutions?
Answers
Suggested answer: A

Question 28

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What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?

A.
They run validation and checkpoint workloads.
A.
They run validation and checkpoint workloads.
Answers
B.
They run training workloads that do not require GPUs.
B.
They run training workloads that do not require GPUs.
Answers
C.
They host management software such as the conductor and HPCM.
C.
They host management software such as the conductor and HPCM.
Answers
D.
They run non-distributed training workloads.
D.
They run non-distributed training workloads.
Answers
Suggested answer: C

Question 29

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

A.
Hospitality
A.
Hospitality
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B.
K-12education
B.
K-12education
Answers
C.
Retail
C.
Retail
Answers
D.
Manufacturing
D.
Manufacturing
Answers
Suggested answer: D

Question 30

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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 on-prem GPU cluster with at least 14 CPUs.

What should you determine about this customer?

A.
The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
A.
The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
Answers
B.
The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.
B.
The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.
Answers
C.
The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.
C.
The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.
Answers
D.
The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.
D.
The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.
Answers
Suggested answer: A
Total 40 questions
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