Using HPE AI and Machine Learning HPE2-N69 Dumps Questions

Jonnie Karnath2023-06-26T07:35:21+00:00

If you’re planning to take the Using HPE AI and Machine Learning HPE2-N69 exam, using HPE2-N69 dumps questions can be a great way to prepare. Certspots offers a range of HPE2-N69 dumps questions that can help you get ready for the exam. The HPE2-N69 exam is designed to test your knowledge of AI and machine learning concepts and how they can be applied in the context of HPE products and solutions. By using HPE2-N69 dumps questions, you can review the material that will be covered on the exam and get a sense of what kinds of questions you can expect to encounter. Overall, using HPE2-N69 dumps questions can be an effective way to prepare for the exam and increase your chances of passing on your first attempt.

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1. 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?

HP-UX v11i

Windows Server 2016 or above

Windows 10 or above

Red Hat 7-based Linux

2. 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

3. 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

4. At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?

Any of the agent's in a compute pool

A virtual one assigned to the cluster

The conductor's

Any of the agent's in an aux pool

5. Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?

Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.

ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higher-performing configs.

Adaptive ASHA can train more trials in certain amount of time, as compared to ASH

Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASH

6. What is a benefit of HPE Machine Learning Development Environment mat tends to resonate with executives?

It uses a centralized training architecture that is highly efficient.

It helps DL projects complete faster for a faster RO

It helps companies deploy models and generate revenue.

It automatically cleans up data to create better end results.

7. 1.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.

8. An ML engineer is running experiments on HPE Machine Learning Development Environment. The engineer notices all of the checkpoints for a trial except one disappear after the trial ends. The engineer wants to Keep more of these checkpoints .

What can you recommend?

Adjusting how many of the latest and best checkpoints are saved in the experiment config's checkpoint storage settings.

Monitoring ongoing trials In the WebUl and clicking checkpoint nags to auto-save the desired checkpoints.

Double-checking that the checkpoint storage location is operating under 90% of total capacity.

Adjusting the checkpoint storage settings to save checkpoints to a shared file system instead of cloud storage.

9. Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment .

What can you do?

In the experiment config that you used, look for the "bucket" field under "hyperparameters." This is the UUID for checkpoints.

Use the "det experiment download -top-n I" command, referencing the experiment I

In the Web Ul, go to the Task page and click the checkpoint task that has the experiment I

Look for a "determined-checkpoint/" bucket within Amazon S3, referencing your experiment I

10. 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.

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

Experiment tracking

Model Inferencing

Distributed training

Premium dedicated support

12. 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.

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