HP HPE2-N69 Actual Free Exam Questions & Community Discussion

Exam Code/Number: HPE2-N69
Exam Name/Title: Using HPE Cray AI Development Environment
Certification Provider: HP
Corresponding Certification: HPE Product Certified - AI and Machine Learning

Exam Questions: 42
Updated On: Jul 30, 2026

Question #6

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

B. Windows Server 2016 or above

C. Red Hat 7-based Linux

D. Windows 10 or above

Discussion 0

Correct Answer: C Vote an answer

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Question #7

What distinguishes deep learning (DL) from other forms of machine learning (ML)?

A. Models that are trained through unsupervised, rather than supervised, training

B. Models trained through multiple training processes implemented by different team members

C. Models defined with Apache Spark rather than MapReduce

D. Models based on neural networks with interconnected layers of nodes, including multiple hidden layers

Discussion 0

Correct Answer: D Vote an answer

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Question #8

A trial is running on a GPU slot within a resource pool on HPE Machine Learning Development Environment. That GPU fails. What happens next?

A. The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.

B. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.

C. The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.

D. The trial tails, and the ML engineer must restart it manually by re-running the experiment.

Discussion 0

Correct Answer: A Vote an answer

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Question #9

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

A. Distributed training

B. Pipeline-based data management

C. Automated user provisioning

D. Automated hyperparameter optimization (HPO)

Discussion 0

Correct Answer: D Vote an answer

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Question #10

ML engineers are defining a convolutional neural network (CNN) model bur they are not sure how many filters to use in each convolutional layer. What can help them address this concern?

A. Using a variable learning late

B. Distributing the training across multiple CPUs

C. Using hyperparameter optimization (HPO)

D. Training the model on multiple epochs

Discussion 0

Correct Answer: C Vote an answer

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