HPE2-T38

Which aspect of HPE ML solutions can contribute to better decision-making processes in businesses?A . Slow data processing speedsB . Advanced analytics capabilitiesC . Decreased data visibilityD . Limited data storage optionsView AnswerAnswer: B Explanation: Advanced analytics capabilities of HPE ML solutions can contribute to better decision-making processes in businesses.

Which HPE offering provides AI-driven infrastructure management for optimizing application performance and resource allocation?A . HPE EzmeralB . HPE SynergyC . HPE InfoSightD . HPE GreenLakeView AnswerAnswer: C Explanation: HPE InfoSight provides AI-driven infrastructure management for optimizing application performance.

How does the HPE Machine Learning [PDK] handle model versioning and tracking?A . It deletes previous versions to save storage space.B . It does not support model versioning.C . It requires manual tracking by the developer.D . It automatically saves all versions of a model and tracks performance metrics.View AnswerAnswer:...

What is the HPE machine learning [PDK] designed to integrate with?A . HPE servers and storage solutionsB . Microsoft Office SuiteC . Open-source machine learning frameworksD . Adobe Creative CloudView AnswerAnswer: C Explanation: The HPE machine learning [PDK] is designed to integrate with open-source machine learning frameworks.

Which of the following best describes the level of customization options available with HPE Machine Learning enterprise offerings compared to open-source versions?A . Both offer similar customization optionsB . Open-source versions offer more customization optionsC . HPE offers more customization optionsD . Customization options are not a factor in choosing...

Which programming languages are typically used with the HPE machine learning [PDK]?A . JavaScript and PHPB . HTML and CSSC . Ruby and C++D . Python and JavaView AnswerAnswer: D Explanation: Python and Java are commonly used programming languages with the HPE machine learning [PDK].

Which HPE offering enables organizations to deploy, manage, and optimize machine learning models at scale in production?A . HPE Ezmeral Machine Learning OpsB . HPE Ezmeral Container PlatformC . HPE Ezmeral Data FabricD . HPE Ezmeral ML OpsView AnswerAnswer: D Explanation: HPE Ezmeral ML Ops enables organizations to deploy, manage,...

Why is domain expertise considered a prerequisite for effectively deploying HPE machine learning solutions?A . It speeds up training timeB . It helps in understanding the nuances of the business problemC . It reduces the need for model evaluationD . It eliminates the need for data preprocessingView AnswerAnswer: B Explanation:...

What is data preprocessing in machine learning?A . It refers to the transformation of raw data into a proper format for analysisB . It is the process of selecting the most relevant features for the modelC . It involves removing or correcting errors in the dataD . It is the...

What is a key requirement for scaling HPE machine learning solutions across an enterprise?A . Specialized hardware for each model iterationB . Centralized data storage platformC . High model complexityD . Limited access to data sourcesView AnswerAnswer: B Explanation: A centralized data storage platform is a key requirement for scaling...