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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 1

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You are helping a customer start to implement hyper parameter optimization (HPO) with HPE Machine learning Development Environment. An ML engineer is putting together an experiment config file with the desired Adaptive A5HA settings. The engineer asks you questions, such as how many trials will be trained on the max length and what the min length for all trials will be.

What should you explain?

A.
The engineer should run the "det preview-search" command, referencing the experiment config.
A.
The engineer should run the "det preview-search" command, referencing the experiment config.
Answers
B.
The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
B.
The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
Answers
C.
The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
C.
The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
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D.
The engineer should run a preliminary experiment with one tenth the desired number of max trials, assess the results, and then run the full experiment.
D.
The engineer should run a preliminary experiment with one tenth the desired number of max trials, assess the results, and then run the full experiment.
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Suggested answer: D

Question 2

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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.
A.
Set the weight to a higher than default value.
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B.
Set the weight to a lower than default value.
B.
Set the weight to a lower than default value.
Answers
C.
Set the priority to a lower than default value.
C.
Set the priority to a lower than default value.
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D.
Set the priority to a higher than default value.
D.
Set the priority to a higher than default value.
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Suggested answer: A

Question 3

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You want to set up a simple demo cluster for HPE Machine Learning Development Environment (or the open source Determined Al) on Amazon Web Services (AWS). You plan to use "det deploy" to set up the cluster. What is one prerequisite?

A.
installing the NVIDIA Container Toolkit on your local machine
A.
installing the NVIDIA Container Toolkit on your local machine
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B.
Manually creating the AWS EC2 instance with a PostgreSQL database
B.
Manually creating the AWS EC2 instance with a PostgreSQL database
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C.
Recording the name of a valid AWS EC2 keypair
C.
Recording the name of a valid AWS EC2 keypair
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D.
Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
D.
Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
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Suggested answer: A

Question 4

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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?

A.
Streaming requires just one bucket, while downloading requires many.
A.
Streaming requires just one bucket, while downloading requires many.
Answers
B.
The trial can more quickly start up and begin training the model.
B.
The trial can more quickly start up and begin training the model.
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C.
The trial can better separate training and validation data.
C.
The trial can better separate training and validation data.
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D.
Setting up streaming is easier that setting up downloading.
D.
Setting up streaming is easier that setting up downloading.
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Suggested answer: C

Question 5

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Refer to the exhibit.

You are demonstrating HPE Machine Learning Development Environment, and you show details about an experiment, as shown in the exhibits. The customer asks about what "validation loss' means. What should you respond?

A.
Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.
A.
Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.
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B.
Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
B.
Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
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C.
Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
C.
Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
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D.
Validation loss is metadata that indicates how many updates were lost between the conductor and agents.
D.
Validation loss is metadata that indicates how many updates were lost between the conductor and agents.
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Suggested answer: C

Question 6

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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
A.
profiling: enabled: false
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B.
hyperparameters; optimizer:none
B.
hyperparameters; optimizer:none
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C.
searcher: name: single
C.
searcher: name: single
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D.
resources: slots_per_trial: 1
D.
resources: slots_per_trial: 1
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Suggested answer: D

Question 7

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

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

Question 8

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A customer has Men expanding its deep learning (DO prefects and is confronting several challenges.

Which of these challenges does HPE Machine Learning Development Environment specifically address?

A.
Time-consuming data collection
A.
Time-consuming data collection
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B.
Complex model deployment processes
B.
Complex model deployment processes
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C.
Complex and time-consuming data cleansing process
C.
Complex and time-consuming data cleansing process
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D.
Complex and time-consuming hyperparameter optimization (HPO)
D.
Complex and time-consuming hyperparameter optimization (HPO)
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Suggested answer: C

Question 9

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You want to set up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined all on a local machine. Which OS Is supported?

A.
HP-UX v11i
A.
HP-UX v11i
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B.
Windows Server 2016 or above
B.
Windows Server 2016 or above
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C.
Windows 10 or above
C.
Windows 10 or above
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D.
Red Hat 7-based Linux
D.
Red Hat 7-based Linux
Answers
Suggested answer: A

Question 10

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The ML engineer wants to run an Adaptive ASHA experiment with hundreds of trials. The engineer knows that several other experiments will be running on the same resource pool, and wants to avoid taking up too large a share of resources. What can the engineer do in the experiment config file to help support this goal?

A.
Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.
A.
Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.
Answers
B.
Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
B.
Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
Answers
C.
Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
C.
Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
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D.
Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.
D.
Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.
Answers
Suggested answer: A
Total 40 questions
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