HPE2-T38 HPE AI and Machine Learning Exam Dumps Questions

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<p>HPE2-T38 HPE AI and Machine Learning exam dumps questions are the best</p><p>material for you to test all the related HP exam topics. By using the HPE2-T38</p><p>exam dumps questions and practicing your skills, you can increase your</p><p>confidence and chances of passing the HPE2-T38 exam.</p><p>Features of Dumpsinfo’s products</p><p>Instant Download</p><p>Free Update in 3 Months</p><p>Money back guarantee</p><p>PDF and Software</p><p>24/7 Customer Support</p><p>Besides, Dumpsinfo also provides unlimited access. You can get all</p><p>Dumpsinfo files at lowest price.</p><p>HPE AI and Machine Learning HPE2-T38 exam free dumps questions are</p><p>available below for you to study.</p><p>Full version: HPE2-T38 Exam Dumps Questions</p><p>1.What are the hardware requirements for implementing HPE machine learning solutions?</p><p>A. Any computer with a decent internet connection</p><p>B. Laptops</p><p>C. Smartphones</p><p>D. High-end servers with GPU support</p><p>Answer: D</p><p>Explanation:</p><p>High-end servers with GPU support are required for implementing HPE machine learning solutions.</p><p>2.Why is data quality important as a requirement for HPE machine learning solutions?</p><p>A. To ensure accurate predictions</p><p>B. To minimize computational resources</p><p>1 / 10</p><p>https://www.dumpsinfo.com/unlimited-access/</p><p>https://www.dumpsinfo.com/exam/hpe2-t38</p><p>C. To increase model complexity</p><p>D. To decrease training time</p><p>Answer: A</p><p>Explanation:</p><p>Data quality is important as a requirement for HPE machine learning solutions to ensure accurate</p><p>predictions.</p><p>3.What is the HPE machine learning [PDK] designed to integrate with?</p><p>A. HPE servers and storage solutions</p><p>B. Microsoft Office Suite</p><p>C. Open-source machine learning frameworks</p><p>D. Adobe Creative Cloud</p><p>Answer: C</p><p>Explanation:</p><p>The HPE machine learning [PDK] is designed to integrate with open-source machine learning</p><p>frameworks.</p><p>4.What role do customer feedback and input play in the development of HPE machine learning</p><p>solutions?</p><p>A. Minimal impact</p><p>B. Significantly important</p><p>C. Partial influence</p><p>D. No involvement</p><p>Answer: B</p><p>Explanation:</p><p>Customer feedback and input play a significantly important role in the development of HPE machine</p><p>learning solutions, helping to tailor products to meet customer needs.</p><p>5.Can the HPE Machine Learning PDK be integrated with other HPE software solutions?</p><p>A. No</p><p>B. Yes</p><p>Answer: B</p><p>Explanation:</p><p>The HPE Machine Learning PDK can be integrated with other HPE software solutions.</p><p>6.In the context of HPE machine learning solutions, what are hardware requirements typically focused</p><p>on?</p><p>A. Maximizing computational speed</p><p>B. Controlling data privacy</p><p>C. Reducing model accuracy</p><p>D. Minimizing data diversity</p><p>Answer: A</p><p>Explanation:</p><p>Hardware requirements for HPE machine learning solutions are typically focused on maximizing</p><p>computational speed.</p><p>7.What role does the HPE Machine Learning Platform Development Kit (PDK) play in model</p><p>2 / 10</p><p>https://www.dumpsinfo.com/</p><p>optimization?</p><p>A. Optimizing hyperparameters</p><p>B. Real-time analytics</p><p>C. Deploying models on cloud servers</p><p>D. Data preprocessing</p><p>Answer: A</p><p>Explanation:</p><p>The HPE Machine Learning Platform Development Kit (PDK) plays a role in model optimization by</p><p>optimizing hyperparameters.</p><p>8.What is the main goal of machine learning?</p><p>A. To reduce human intervention</p><p>B. To automate repetitive tasks</p><p>C. To develop systems that can learn from data and improve over time</p><p>D. To write algorithms that computers can execute</p><p>Answer: C</p><p>Explanation:</p><p>The main goal of machine learning is to develop systems that can learn from data and improve over</p><p>time.</p><p>9.What is a key requirement for implementing HPE machine learning solutions?</p><p>A. Ensuring proper data governance and compliance</p><p>B. Using any programming language for development</p><p>C. Having a strong background in robotics</p><p>D. Installing a specific type of operating system</p><p>Answer: A</p><p>Explanation:</p><p>Ensuring proper data governance and compliance is a key requirement for implementing HPE</p><p>machine learning solutions.</p><p>10.What type of infrastructure is needed to support HPE machine learning solutions?</p><p>A. No specific infrastructure required</p><p>B. Both cloud-based and on-premises infrastructure</p><p>C. Cloud-based infrastructure only</p><p>D. On-premises infrastructure only</p><p>Answer: B</p><p>Explanation:</p><p>Both cloud-based and on-premises infrastructure are needed to support HPE machine learning</p><p>solutions.</p><p>11.What role does data labeling play as a requirement for HPE machine learning solutions?</p><p>A. It helps create a labeled dataset for model training</p><p>B. It ensures data privacy</p><p>C. It eliminates the need for feature engineering</p><p>D. It speeds up the training process</p><p>Answer: A</p><p>Explanation:</p><p>Data labeling plays a crucial role as a requirement for HPE machine learning solutions by helping</p><p>3 / 10</p><p>https://www.dumpsinfo.com/</p><p>create a labeled dataset for model training.</p><p>12.How can HPE machine learning solutions contribute to revenue growth in an organization?</p><p>A. By limiting access to data</p><p>B. By driving better marketing campaigns</p><p>C. By slowing down product development cycles</p><p>D. By reducing operational costs</p><p>Answer: B</p><p>Explanation:</p><p>HPE machine learning solutions can contribute to revenue growth in an organization by driving better</p><p>marketing campaigns, increasing customer engagement, and optimizing pricing strategies.</p><p>13.What are the key features of HPE's current enterprise machine learning solutions?</p><p>A. AutoML functionality</p><p>B. Advanced analytics capabilities</p><p>C. Data security features</p><p>D. Scalability</p><p>Answer: B</p><p>Explanation:</p><p>The current enterprise features of HPE machine learning solutions include advanced analytics</p><p>capabilities for in-depth data analysis.</p><p>14.What are some strategies that HPE employs to foster ongoing relationships with customers who</p><p>have adopted its Machine Learning solutions?</p><p>A. Tailored training programs and certification courses</p><p>B. Industry-specific user groups and forums</p><p>C. Regular check-ins and performance reviews</p><p>D. Exclusive access to beta features and updates</p><p>Answer: C</p><p>Explanation:</p><p>Engagement with customers involves regular check-ins and performance reviews to ensure that they</p><p>are maximizing the benefits of HPE Machine Learning solutions and addressing any evolving needs</p><p>or challenges.</p><p>15.What are the two main categories of machine learning?</p><p>A. Supervised learning and unsupervised learning</p><p>B. Neural networks and decision trees</p><p>C. Linear regression and clustering</p><p>D. Classification and regression</p><p>Answer: A</p><p>Explanation:</p><p>The two main categories of machine learning are supervised learning and unsupervised learning.</p><p>16.What is a key requirement for data sources when implementing HPE machine learning solutions?</p><p>A. Data should be unlimited in size</p><p>B. Data should be clean and labeled</p><p>C. Data should only be in text format</p><p>4 / 10</p><p>https://www.dumpsinfo.com/</p><p>D. Data should be unstructured</p><p>Answer: B</p><p>Explanation:</p><p>A key requirement for data sources when implementing HPE machine learning solutions is that data</p><p>should be clean and labeled.</p><p>17.What is a key advantage of using HPE Machine Learning enterprise offerings over open-source</p><p>versions</p><p>in terms of integration with existing enterprise systems?</p><p>A. Limited integration capabilities</p><p>B. Seamless integration with existing enterprise systems</p><p>C. Similar integration capabilities</p><p>D. Better integration with open-source versions</p><p>Answer: B</p><p>Explanation:</p><p>HPE Machine Learning enterprise offerings often provide seamless integration with existing</p><p>enterprise systems, making adoption and implementation easier for organizations.</p><p>18.What programming languages are supported by the HPE Machine Learning PDK?</p><p>A. Java</p><p>B. C++</p><p>C. Python</p><p>D. All of the above</p><p>Answer: D</p><p>Explanation:</p><p>The HPE Machine Learning PDK supports programming languages such as Python, Java, and C++.</p><p>19.What is the primary goal of the HPE Machine Learning [PDK] in terms of user experience?</p><p>A. To provide an intuitive interface for building and deploying models</p><p>B. To limit user access to certain functions</p><p>C. To prioritize advanced features over usability</p><p>D. To require extensive training before use</p><p>Answer: A</p><p>Explanation:</p><p>The primary goal of the</p><p>HPE Machine Learning [PDK] is to provide an intuitive interface for</p><p>developers to easily build and deploy machine learning models.</p><p>20.When considering HPE machine learning solutions, what role does data quality play in meeting</p><p>prerequisites?</p><p>A. Data quality is exclusively the responsibility of the customer</p><p>B. Data quality can have a direct impact on the success of ML projects</p><p>C. Data quality is not a prerequisite</p><p>D. Data quality is only important for open-source ML tools</p><p>Answer: B</p><p>Explanation:</p><p>Data quality plays a crucial role in meeting prerequisites for HPE machine learning solutions as it can</p><p>have a direct impact on the success and accuracy of ML projects.</p><p>5 / 10</p><p>https://www.dumpsinfo.com/</p><p>21.In what way can HPE ML solutions help businesses in terms of competitive advantage?</p><p>A. Providing real-time insights</p><p>B. Improving customer retention</p><p>C. Enhancing product development</p><p>D. All of the above</p><p>Answer: D</p><p>Explanation:</p><p>HPE ML solutions can help businesses gain a competitive advantage by providing real-time insights,</p><p>enhancing product development, and improving customer retention.</p><p>22.Why is domain expertise considered a prerequisite for effectively deploying HPE machine learning</p><p>solutions?</p><p>A. It speeds up training time</p><p>B. It helps in understanding the nuances of the business problem</p><p>C. It reduces the need for model evaluation</p><p>D. It eliminates the need for data preprocessing</p><p>Answer: B</p><p>Explanation:</p><p>Domain expertise is considered a prerequisite for effectively deploying HPE machine learning</p><p>solutions as it helps in understanding the nuances of the business problem.</p><p>23.How can businesses leverage HPE machine learning solutions to gain a competitive edge in</p><p>customer engagement?</p><p>A. By using predictive analytics to anticipate customer needs and preferences</p><p>B. By integrating machine learning insights into customer relationship management systems</p><p>C. By implementing real-time decision-making capabilities for personalized interactions</p><p>D. By optimizing marketing strategies based on data-driven predictions</p><p>Answer: B</p><p>Explanation:</p><p>Businesses can leverage HPE machine learning solutions to gain a competitive edge in customer</p><p>engagement by integrating machine learning insights into customer relationship management</p><p>systems, allowing for more targeted and personalized interactions with customers.</p><p>24.Which programming languages are typically used with the HPE machine learning [PDK]?</p><p>A. JavaScript and PHP</p><p>B. HTML and CSS</p><p>C. Ruby and C++</p><p>D. Python and Java</p><p>Answer: D</p><p>Explanation:</p><p>Python and Java are commonly used programming languages with the HPE machine learning [PDK].</p><p>25.In what way can HPE ML solutions contribute to streamlining operations for manufacturing</p><p>companies?</p><p>A. By reducing production downtime</p><p>B. By automating quality control checks</p><p>C. By optimizing workforce scheduling</p><p>6 / 10</p><p>https://www.dumpsinfo.com/</p><p>D. By predicting equipment maintenance needs</p><p>Answer: D</p><p>Explanation:</p><p>Predicting equipment maintenance needs with HPE ML solutions can help manufacturers proactively</p><p>address potential issues, leading to improved operational efficiency.</p><p>26.Which of the following is a potential advantage of using HPE ML solutions for predictive</p><p>maintenance in industries?</p><p>A. Increasing manual labor</p><p>B. Decreasing equipment downtime</p><p>C. Raising operational costs</p><p>D. Lowering customer satisfaction</p><p>Answer: B</p><p>Explanation:</p><p>Decreasing equipment downtime is a potential advantage of using HPE ML solutions for predictive</p><p>maintenance in industries.</p><p>27.How does the HPE machine learning [PDK] support model optimization?</p><p>A. It offers hyperparameter tuning capabilities</p><p>B. It requires manual optimization by the user</p><p>C. It does not support model optimization</p><p>D. It automatically optimizes models</p><p>Answer: A</p><p>Explanation:</p><p>The HPE machine learning [PDK] supports model optimization through hyperparameter tuning</p><p>capabilities.</p><p>28.What is overfitting in machine learning?</p><p>A. When a machine learning model performs poorly on training data and unseen data</p><p>B. When a machine learning model performs well on training data but poorly on unseen data</p><p>C. When a machine learning model is too simple and fails to capture the complexity of the data</p><p>D. When a machine learning model is not complex enough to capture the underlying patterns in the</p><p>data</p><p>Answer: B</p><p>Explanation:</p><p>Overfitting in machine learning occurs when a model performs well on training data but poorly on</p><p>unseen data.</p><p>29.What is the role of the HPE Machine Learning Platform Development Kit (PDK) in the machine</p><p>learning workflow?</p><p>A. Data preprocessing</p><p>B. Training machine learning models</p><p>C. Deploying machine learning models</p><p>D. Visualizing data</p><p>Answer: C</p><p>Explanation:</p><p>The HPE Machine Learning Platform Development Kit (PDK) plays a role in deploying machine</p><p>learning models in the machine learning workflow.</p><p>7 / 10</p><p>https://www.dumpsinfo.com/</p><p>30.How can HPE Machine Learning solutions help healthcare organizations improve patient</p><p>outcomes?</p><p>A. By increasing medical errors</p><p>B. By personalizing treatment plans</p><p>C. By reducing staff training</p><p>D. By ignoring patient data</p><p>Answer: B</p><p>Explanation:</p><p>HPE Machine Learning solutions can help healthcare organizations improve patient outcomes by</p><p>personalizing treatment plans based on individual patient data.</p><p>31.How does HPE Machine Learning enterprise offerings differ from open-source versions in terms of</p><p>support and maintenance?</p><p>A. Offer robust support and maintenance services</p><p>B. Limited support and maintenance provided by the community</p><p>C. Both options offer similar levels of support and maintenance</p><p>D. Open-source versions have better support and maintenance than HPE</p><p>Answer: A</p><p>Explanation:</p><p>HPE Machine Learning enterprise offerings typically provide robust support and maintenance</p><p>services compared to open-source versions.</p><p>32.What role does data governance play in the requirements for HPE machine learning solutions?</p><p>A. It ensures compliance with regulations and standards.</p><p>B. It speeds up the model training process.</p><p>C. It is not relevant for machine learning projects.</p><p>D. It only applies to small datasets.</p><p>Answer: A</p><p>Explanation:</p><p>Data governance plays a crucial role in ensuring compliance with regulations and standards when</p><p>implementing HPE machine learning solutions.</p><p>33.Which of the following is NOT a type of machine learning algorithm?</p><p>A. Supervised learning</p><p>B. Reinforcement learning</p><p>C. Pre-defined learning</p><p>D. Unsupervised learning</p><p>Answer: C</p><p>Explanation:</p><p>Pre-defined learning is not a type of machine learning algorithm.</p><p>34.What is the main objective of machine learning?</p><p>A. To design algorithms</p><p>B. To replace human decision-making</p><p>C. To automate business processes</p><p>D. To enable computers to learn from data</p><p>8 / 10</p><p>https://www.dumpsinfo.com/</p><p>Answer: D</p><p>Explanation:</p><p>The main objective of machine learning is to enable computers to learn from data.</p><p>35.In terms of security, how do HPE Machine Learning enterprise offerings typically compare to open-</p><p>source versions?</p><p>A. Same level of security</p><p>B. More vulnerable to security breaches</p><p>C. Less control over data privacy</p><p>D. Better encryption capabilities</p><p>Answer: D</p><p>Explanation:</p><p>HPE Machine Learning enterprise offerings usually provide better encryption capabilities compared to</p><p>open-source versions, ensuring higher levels of data security and privacy.</p><p>36.What is the primary business benefit of implementing HPE machine learning solutions in an</p><p>organization?</p><p>A. Better customer insights</p><p>B. Enhanced employee satisfaction</p><p>C. Improved operational efficiency</p><p>D. Increased data security</p><p>Answer: C</p><p>Explanation:</p><p>Improved operational efficiency is a key business value of HPE machine learning solutions.</p><p>37.What does PDK stand for in the context of HPE machine learning?</p><p>A. Predictive Development Kit</p><p>B. Pre-Defined Knowledge</p><p>C. Predictive Data Kit</p><p>D. Program Development Kit</p><p>Answer: A</p><p>Explanation:</p><p>The PDK in HPE machine learning stands for Predictive Development Kit.</p><p>38.What is one benefit of using open-source machine learning tools instead</p><p>of HPE Machine Learning</p><p>enterprise offerings?</p><p>A. More advanced algorithms</p><p>B. Improved performance</p><p>C. Better integration with third-party tools</p><p>D. Lower learning curve</p><p>Answer: D</p><p>Explanation:</p><p>One benefit of using open-source machine learning tools is often a lower learning curve compared to</p><p>HPE Machine Learning enterprise offerings.</p><p>39.In terms of deployment and implementation, which option is typically easier to set up: HPE</p><p>Machine Learning enterprise offerings or open-source versions?</p><p>9 / 10</p><p>https://www.dumpsinfo.com/</p><p>A. Open-source versions</p><p>B. HPE Machine Learning enterprise offerings</p><p>Answer: B</p><p>Explanation:</p><p>HPE Machine Learning enterprise offerings are typically easier to set up and deploy compared to</p><p>open-source versions.</p><p>40.Which HPE offering is designed to provide scalable, distributed machine learning infrastructure?</p><p>A. HPE Superdome Flex</p><p>B. HPE AI Accelerator</p><p>C. HPE Ezmeral Container Platform</p><p>D. HPE ML Ops</p><p>Answer: A</p><p>Explanation:</p><p>HPE Superdome Flex is designed to provide scalable, distributed machine learning infrastructure.</p><p>41.Which HPE solution offers pre-configured machine learning models and algorithms for faster</p><p>deployment?</p><p>A. HPE Nimble Storage</p><p>B. HPE GreenLake</p><p>C. HPE Ezmeral</p><p>D. HPE ML Ops</p><p>Answer: D</p><p>Explanation:</p><p>HPE ML Ops offers pre-configured machine learning models and algorithms for faster deployment.</p><p>42.Which HPE offering provides AI-driven infrastructure management for optimizing application</p><p>performance and resource allocation?</p><p>A. HPE Ezmeral</p><p>B. HPE Synergy</p><p>C. HPE InfoSight</p><p>D. HPE GreenLake</p><p>Answer: C</p><p>Explanation:</p><p>HPE InfoSight provides AI-driven infrastructure management for optimizing application performance.</p><p>Powered by TCPDF (www.tcpdf.org)</p><p>10 / 10</p><p>https://www.dumpsinfo.com/</p><p>http://www.tcpdf.org</p>