HPE2-T38 exam

What type of infrastructure is needed to support HPE machine learning solutions?A . No specific infrastructure requiredB . Both cloud-based and on-premises infrastructureC . Cloud-based infrastructure onlyD . On-premises infrastructure onlyView AnswerAnswer: B Explanation: Both cloud-based and on-premises infrastructure are needed to support HPE machine learning solutions.

What are some common requirements needed for implementing HPE machine learning solutions?A . HPE ML Offerings compatibilityB . Data scientists and analystsC . HPE hardwareD . High-speed internet connectionView AnswerAnswer: B Explanation: Having data scientists and analysts on the team is essential for implementing HPE machine learning solutions effectively.

In the context of HPE machine learning solutions, what are hardware requirements typically focused on?A . Maximizing computational speedB . Controlling data privacyC . Reducing model accuracyD . Minimizing data diversityView AnswerAnswer: A Explanation: Hardware requirements for HPE machine learning solutions are typically focused on maximizing computational speed.

What is a key requirement for implementing HPE machine learning solutions?A . Ensuring proper data governance and complianceB . Using any programming language for developmentC . Having a strong background in roboticsD . Installing a specific type of operating systemView AnswerAnswer: A Explanation: Ensuring proper data governance and compliance is...

How can HPE ML solutions help organizations in reducing churn rate among customers?A . Providing personalized customer retention strategiesB . Ignoring customer feedbackC . Reducing product qualityD . Increasing pricing without value propositionView AnswerAnswer: A Explanation: Providing personalized customer retention strategies is how HPE ML solutions can help organizations in...

Which of the following is a potential advantage of HPE Machine Learning enterprise offerings over open-source versions?A . Stronger integration with HPE infrastructureB . Limited scalabilityC . Lack of customization optionsD . Higher costView AnswerAnswer: A Explanation: Stronger integration with HPE infrastructure is a potential advantage of HPE Machine Learning...

What is a benefit of using HPE Machine Learning enterprise offerings instead of open-source versions for businesses?A . Higher level of community involvementB . Lower initial investmentC . Less control over customizationD . Improved compatibility with existing systemsView AnswerAnswer: D Explanation: A benefit of using HPE Machine Learning enterprise offerings...

When comparing the security features of HPE Machine Learning enterprise offerings to open-source versions, which of the following is likely true?A . Open-source versions have weaker security featuresB . HPE offerings have weaker security featuresC . Both offer equally strong security featuresD . Security features are not a key differentiator...

What are some key features of the HPE machine learning [PDK]?A . Social media integrationB . Real-time data visualizationC . Automated model training and deploymentD . Voice recognition capabilitiesView AnswerAnswer: C Explanation: Automated model training and deployment are key features of the HPE machine learning [PDK].

What is one of the key prerequisites for implementing an HPE machine learning solution?A . Ability to play a musical instrumentB . Proficiency in a programming language like PythonC . Understanding the basics of graphic designD . Knowledge of ancient historyView AnswerAnswer: B Explanation: Proficiency in a programming language like...