HPE2-N69 - Latest Training Dumps

[Dec 27, 2023] TrainingDump HPE2-N69 dumps & HPE Product Certified – AI and Machine Learning sure practice dumps

HP HPE2-N69 Actual Questions and Braindumps

HPE Cray AI Development Environment is a powerful tool for developing and deploying AI solutions. It provides a range of capabilities that enable organizations to build and deploy AI applications quickly and easily. The HPE Cray AI Development Environment includes a range of tools and technologies such as deep learning frameworks, data analytics tools, and data management tools. This environment helps organizations to accelerate their AI development processes and reduce time-to-market.

NO.23 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

NO.24 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?

Under “searcher,” set “max_concurrent_trails” to cap the number of trials run at once by this experiment.

Under “searcher,” set “divisor- to 2 to reduce the share of the resource slots that the experiment receives.

Set the “scheduling_unit” to cap the number of resource slots used at once by this experiment.

Under “resources.- set ‘priority to I to reduce the share of the resource slots mat the experiment receives.

NO.25 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?

installing the NVIDIA Container Toolkit on your local machine

Manually creating the AWS EC2 instance with a PostgreSQL database

Recording the name of a valid AWS EC2 keypair

Adding Amazon Elastic Kubernetes Services (EKS) to your AWS account

NO.26 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?

Streaming requires just one bucket, while downloading requires many.

The trial can better separate training and validation data.

Setting up streaming is easier that setting up downloading.

The trial can more quickly start up and begin training the model.

NO.27 You want to set up a simple demo Ouster tor HPE Machine learning Development Environment for the open source Determined AI) on a local machine. You plan to use “del deploy” to set up the cluster. What software must be installed on the machine before you run that command?

Kubernetes

PyTorch

Terralorm

Docker

NO.28 What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?

it downloads datasets for training.

It uploads model checkpoints.

It validates trained models.

It ensures experiment metadata is stored.

NO.29 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?

The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.

The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.

The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.

The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.

NO.30 You want to set up a simple demo Ouster tor HPE Machine learning Development Environment for the open source Determined AI) on a local machine. You plan to use “del deploy” to set up the cluster. What software must be installed on the machine before you run that command?

Kubernetes

PyTorch

Terralorm

Docker

NO.31 What are the mechanics of now a model trains?

Decides which algorithm can best meet the use case for the application in question

Adjusts the model’s parameter weights such that the model can Better perform its tasks

Tests how accurately the model performs on a wide array of real world data

Detects Data drift of content drift that might compromise the ML model’s performance

NO.32 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?

Validation refers to testing how well the current model performs on new data; file lower the loss the better the performance.

Validation refers to an assessment of how efficient the model code is; the lower the loss the lower the demand on GPU memory resources.

Validation loss refers to the loss detected during the backward pass of training, while training loss refers to loss during the forward pass.

Validation loss is metadata that indicates how many updates were lost between the conductor and agents.

NO.33 Where does TensorFlow fit in the ML/DL Lifecycle?

it helps engineers use a language like Python to code and trail DL models.

it provides pipelines to manage the complete lifecycle.

It is primarily used to transport trained models to a deployment environment.

It adds system and GPU monitoring to the training process.

NO.34 What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?

Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)

Slingshot

InfiniBand

Data Center Bridging (OCB)-enabled Ethernet

NO.35 What is a reason to use the best tit policy on an HPE Machine Learning Development Environment resource pool?

Ensuring that all experiments receive their fair share of resources

Minimizing costs in a cloud environment

Equally distributing utilization across multiple agents

Ensuring that the highest priority experiments obtain access to more resources

NO.36 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?

Streaming requires just one bucket, while downloading requires many.

The trial can more quickly start up and begin training the model.

The trial can better separate training and validation data.

Setting up streaming is easier that setting up downloading.

NO.37 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

HP HPE2-N69 exam is designed for individuals who are looking to gain expertise in using HPE Cray AI development environment. HPE2-N69 exam is intended for professionals who work with HPE Cray AI development environment and want to validate their skills and knowledge in this area. Passing HPE2-N69 exam will demonstrate that the candidate has the necessary skills to design, develop, and deploy AI-based applications using HPE Cray AI development environment.

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Practice with HPE2-N69 Dumps for HPE Product Certified – AI and Machine Learning Certified Exam Questions & Answer

HPE Cray AI Development Environment provides a powerful set of tools and resources that enable developers to create and deploy artificial intelligence applications. This environment includes a range of AI frameworks, libraries, and tools that can be used to develop, train, and deploy AI models. The HPE2-N69 exam covers the key features and capabilities of the HPE Cray AI Development Environment, including how to use the environment to develop and deploy AI models.

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Earning the HPE2-N69 certification can help IT professionals advance their careers and demonstrate their expertise in the field of AI development. Using HPE Cray AI Development Environment certification is recognized by organizations worldwide, making it a valuable credential for those looking to work in the AI industry.

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[Dec 27, 2023] TrainingDump HPE2-N69 dumps & HPE Product Certified – AI and Machine Learning sure practice dumps [Q23-Q37]

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