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HP HPE2-N69 Exam Syllabus Topics:TopicDetailsTopic 1Describe the HPE Machine Learning Development Environment software architecture and deployment options Have a conversation with customers about machine learning (ML) and deep learning (DL)Topic 2Size HPE Machine Learning Development Environment and System solutions Understand machine learning (ML) and deep learning (DL) fundamentalsTopic 3Explain how the Machine Learning Development Environment uses resources and schedules workloads Understand the challenges customers face in training DL models

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HP Using HPE Cray AI Development Environment Sample Questions (Q37-Q42):

NEW QUESTION # 37
What distinguishes deep learning (DL) from other forms of machine learning (ML)?

A. Models based on neural networks with interconnected layers of nodes, including multiple hidden layersB. Models that are trained through unsupervised, rather than supervised, trainingC. Models trained through multiple training processes implemented by different team membersD. Models defined with Apache Spark rather than MapReduce

Answer: A

Explanation:
Models based on neural networks with interconnected layers of nodes, including multiple hidden layers. Deep learning (DL) is a type of machine learning (ML) that uses models based on neural networks with interconnected layers of nodes, including multiple hidden layers. This is what distinguishes it from other forms of ML, which typically use simpler models with fewer layers. The multiple layers of DL models enable them to learn complex patterns and features from the data, allowing for more accurate and powerful predictions.

NEW QUESTION # 38
What is one of the responsibilities of the conductor of an HPE Machine Learning Development Environment cluster?

A. It ensures experiment metadata is stored.B. it downloads datasets for training.C. It validates trained models.D. It uploads model checkpoints.

Answer: A

Explanation:
The conductor of an HPE Machine Learning Development Environment cluster is responsible for ensuring that all experiment metadata is stored and accessible. This includes tracking experiment runs, storing configuration parameters, and ensuring results are stored for future reference.

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 servers in the clusterB. The number of processor cores on all servers in the clusterC. The number of processor cores on agentsD. The number of agent GPUs

Answer: B

Explanation:
The license count for the HPE Machine Learning Development Environment solution would be based on the number of processor cores on all servers in the cluster. This includes all servers in the cluster, regardless of whether they are running agents or not. Each processor core in the cluster requires a license and these licenses can be purchased in packs of 2, 4, 8, and 16.

NEW QUESTION # 40
What is the role of a hidden layer in an artificial neural network (ANN)?

A. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.B. It is responsible for passively reformatting data for use in the ANN.C. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.D. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.

Answer: A

NEW QUESTION # 41
What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?

A. They run non-distributed training workloads.B. They run training workloads that do not require GPUs.C. They run validation and checkpoint workloads.D. They host management software such as the conductor and HPCM.

Answer: D

NEW QUESTION # 42
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