HPE2-T38

Which of the following is NOT a typical requirement for deploying HPE machine learning solutions?A . Regular backups of machine learning modelsB . A knowledge of machine learning algorithmsC . A solid understanding of neural networks and deep learningD . Proper data labeling and annotation processesView AnswerAnswer: C Explanation: A...

What is one of the key business values of HPE ML solutions in terms of efficiency and productivity?A . Improving decision-makingB . Lowering costsC . Enhancing customer experienceD . Increasing operational efficiencyView AnswerAnswer: D Explanation: Increasing operational efficiency is a key business value of HPE ML solutions as it can...

What role does data governance play in the requirements for HPE machine learning solutions?A . Data governance hinders the performance of machine learning modelsB . Data governance is not importantC . Data governance ensures that data is managed ethically and securelyD . Data governance is solely the responsibility of the...

Which of the following is a potential advantage of using HPE ML solutions for predictive maintenance in industries?A . Increasing manual laborB . Decreasing equipment downtimeC . Raising operational costsD . Lowering customer satisfactionView AnswerAnswer: B Explanation: Decreasing equipment downtime is a potential advantage of using HPE ML solutions for...

Can the HPE machine learning [PDK] be used for both supervised and unsupervised learning tasks?A . Yes, but separate versions are requiredB . No, it is designed for unsupervised learning onlyC . No, it is designed for supervised learning onlyD . Yes, it supports both types of learningView AnswerAnswer: D...

What types of data sources can be integrated with the HPE machine learning [PDK]?A . Text documents onlyB . Structured and unstructured dataC . Social media data onlyD . Video and audio files onlyView AnswerAnswer: B Explanation: Structured and unstructured data can be integrated with the HPE machine learning [PDK].

What is a potential drawback of using open-source versions as opposed to HPE Machine Learning enterprise offerings?A . Security vulnerabilitiesB . Lack of community supportC . Limited customization optionsD . Unreliable performanceView AnswerAnswer: A Explanation: A potential drawback of using open-source versions is the presence of security vulnerabilities compared to...

How can HPE ML solutions contribute to revenue growth for businesses?A . Predicting customer churnB . Recommending cross-sell opportunitiesC . Identifying upsell opportunitiesD . All of the aboveView AnswerAnswer: D Explanation: HPE ML solutions can contribute to revenue growth for businesses by identifying upsell opportunities, recommending cross-sell opportunities, and predicting...