HPE2-T38 exam

What role does HPE ML solutions play in risk management for businesses?A . All of the aboveB . Identifying potential risksC . Analyzing data for risk patternsD . Predicting future risksView AnswerAnswer: A Explanation: HPE ML solutions can assist businesses in risk management by identifying potential risks, analyzing data for...

What are some common hardware requirements for running HPE machine learning solutions?A . No specific hardware requirementsB . A mouse and keyboardC . High-speed internet connectionD . Powerful processors and plenty of RAMView AnswerAnswer: D Explanation: Powerful processors and plenty of RAM are common hardware requirements for running HPE machine...

How does regulatory compliance influence the requirements for deploying HPE machine learning solutions?A . It eliminates the need for model explainabilityB . It increases the need for data privacy measuresC . It reduces the need for high-quality data sourcesD . It simplifies model evaluation processesView AnswerAnswer: B Explanation: Regulatory compliance...

What level of network connectivity is essential for optimal performance of HPE machine learning solutions?A . Moderate network connectivityB . No network connectivity requiredC . High-speed and stable network connectivityD . Low-speed internet connectionView AnswerAnswer: C Explanation: High-speed and stable network connectivity is essential for optimal performance of HPE machine...

What is the purpose of data preprocessing in machine learning?A . To evaluate model performanceB . To deploy machine learning solutionsC . To build machine learning modelsD . To clean and transform raw dataView AnswerAnswer: D Explanation: The purpose of data preprocessing in machine learning is to clean and transform...

What is the cloud-based machine learning platform from HPE that allows users to build, train, deploy, and manage machine learning models?A . HPE GreenLakeB . HPE Ezmeral ML OpsC . HPE Ezmeral Container PlatformD . HPE OneSphereView AnswerAnswer: B Explanation: HPE Ezmeral ML Ops is the cloud-based machine learning platform...

Which of the following is an advantage of open-source versions of machine learning solutions compared to HPE Machine Learning enterprise offerings?A . Higher level of supportB . More user-friendly interfaceC . Better performanceD . Greater level of customizationView AnswerAnswer: D Explanation: A key advantage of open-source versions is the greater...

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:...