Download HP Using HPE AI and Machine Learning.HPE2-N69.CertDumps.2023-07-12.40q.vcex

Vendor: HP
Exam Code: HPE2-N69
Exam Name: HP Using HPE AI and Machine Learning
Date: Jul 12, 2023
File Size: 111 KB
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Demo Questions

Question 1
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?
  1. The engineer should run the "det preview-search" command, referencing the experiment config.
  2. The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
  3. The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
  4. 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.
Correct answer: D
Question 2
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?
  1. Set the weight to a higher than default value.
  2. Set the weight to a lower than default value.
  3. Set the priority to a lower than default value. 
  4. Set the priority to a higher than default value.
Correct answer: A
Question 3
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?
  1. installing the NVIDIA Container Toolkit on your local machine
  2. Manually creating the AWS EC2 instance with a PostgreSQL database
  3. Recording the name of a valid AWS EC2 keypair
  4. Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account
Correct answer: A
Question 4
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?
  1. Streaming requires just one bucket, while downloading requires many.
  2. The trial can more quickly start up and begin training the model.
  3. The trial can better separate training and validation data.
  4. Setting up streaming is easier that setting up downloading.
Correct answer: C
Question 5
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?
  1. Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.
  2. Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.
  3. Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.
  4. Validation loss is metadata that indicates how many updates were lost between the conductor and agents. 
Correct answer: C
Question 6
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?
  1. profiling: enabled: false
  2. hyperparameters; optimizer:none
  3. searcher: name: single
  4. resources: slots_per_trial: 1
Correct answer: D
Question 7
What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?
  1. Automated user provisioning
  2. Pipeline-based data management 
  3. Distributed training
  4. Automated hyperparameter optimization (HPO)
Correct answer: B
Question 8
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?
  1. Time-consuming data collection
  2. Complex model deployment processes
  3. Complex and time-consuming data cleansing process
  4. Complex and time-consuming hyperparameter optimization (HPO)
Correct answer: C
Explanation:
Question 9
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?
  1. HP-UX v11i
  2. Windows Server 2016 or above
  3. Windows 10 or above
  4. Red Hat 7-based Linux
Correct answer: A
Question 10
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?
  1. Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.
  2. Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
  3. Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
  4. Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives. 
Correct answer: A
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