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The HP HPE2-N69 exam consists of 60 questions, which the candidate must answer in 90 minutes. The questions are multiple-choice and cover a range of topics related to HPE Cray AI Development Environment. HPE2-N69 exam is available in English and Japanese, and the passing score is 70%. Candidates who pass the exam will receive the HPE ATP – AI Solutions V2 certification.

HP HPE2-N69 (Using HPE Cray AI Development Environment) Certification Exam is a highly specialized and comprehensive certification exam that is designed to test the knowledge and expertise of those who are interested in using the HPE Cray AI Development Environment. Using HPE Cray AI Development Environment certification exam is aimed at developers, data scientists, and other IT professionals who are looking to gain a deeper understanding of the HPE Cray AI Development Environment and its associated tools and technologies.

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HP Using HPE Cray AI Development Environment Sample Questions (Q39-Q44):

NEW QUESTION # 39
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 processor cores on all servers in the cluster
• B. The number of servers in the cluster
• C. The number of agent GPUs
• D. The number of processor cores on agents

Answer: C

NEW QUESTION # 40
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. Windows 10 or above
• B. HP-UX v11i
• C. Red Hat 7-based Linux
• D. Windows Server 2016 or above

Answer: C

Explanation:
The OS supported for setting up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined on a local machine is Red Hat 7-based Linux. Red Hat 7-based Linux is an open source operating system that is used extensively in enterprise applications. It provides a stable and secure platform for running applications and is suitable for use in a demo cluster.

NEW QUESTION # 41
What is a benefit of HPE Machine Learning Development Environment, beyond open source Determined AI?

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

Answer: D

Explanation:
One of the main benefits of HPE Machine Learning Development Environment is its ability to automate the process of hyperparameter optimization (HPO). HPO is a process of automatically tuning the hyperparameters of a model during training, which can greatly improve a model’s performance. HPE ML DE provides automated HPO, making the process of tuning and optimizing the model much easier and more efficient.

NEW QUESTION # 42
What are the mechanics of now a model trains?

• A. Adjusts the model’s parameter weights such that the model can Better perform its tasks
• B. Detects Data drift of content drift that might compromise the ML model’s performance
• C. Tests how accurately the model performs on a wide array of real world data
• D. Decides which algorithm can best meet the use case for the application in question

Answer: A

Explanation:
This is done by running the model through a training loop, where the model is fed data and the parameter weights are adjusted based on the results of the model’s performance on the data. For example, if the model is a neural network, the weights of the connections between the neurons are adjusted based on the results of the model’s performance on the data. This process is repeated until the model performs better on the data, at which point the model is considered trained.

NEW QUESTION # 43
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. Out you could recommend an educational HPE Pointnext ASPS workshop.
• B. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
• C. 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 HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.

Answer: B

NEW QUESTION # 44
……

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