Download the Latest HPE2-T38 Dumps - 2025 HPE2-T38 Exam Questions [Q38-Q57] : Latest Exam Prep : http://certify.vceprep.com

NO.38 What is the primary goal of customer engagement?
Response:

To increase product prices

To maximize short-term sales

To build long-term customer relationships

To reduce marketing costs

NO.39 HPE Machine Learning Development Environment”s main focus is on:
Response:

Enhancing user interface design

Collaborative development of ML models

Video editing and production

Mobile app development

NO.40 In terms of scalability, how do HPE Machine Learning solutions compare with open-source ones?
Response:

HPE solutions offer limited scalability

Open-source versions offer better scalability

Both provide similar scalability options

HPE solutions are designed for better scalability

NO.41 ”Cross-validation” in ML is used for:
Response:

Data encryption

Model tuning

Data recovery

Algorithm selection

NO.42 HPE Machine Learning Data Management Software is designed to:
Response:

Streamline HR processes

Process petabyte-scale workloads

Focus on cybersecurity

Handle supply chain management

NO.43 How is user training typically addressed in the HPE ML PDK?
Response:

Through extensive in-person training sessions

Via online tutorials and documentation

It is not provided

Solely through third-party training providers

NO.44 Which of the following is an example of unsupervised learning?
Response:

Decision Trees

K-Means Clustering

Linear Regression

Logistic Regression

NO.45 In what way can HPE ML solutions impact a business”s customer service?
Response:

By reducing interaction with customers

By providing more personalized customer experiences

By increasing the response time to customer queries

By automating customer complaints only

NO.46 In the context of the HPE ML PDK, what does scalability refer to?
Response:

The kit,s ability to handle increasing computational loads

The physical size of the hardware

The number of users that can use the kit simultaneously

The geographic distribution of the servers

NO.47 HPE Ezmeral Unified Analytics Software is known for providing:
Response:

Physical security systems

Enterprise-grade versions of open-source frameworks

3D modeling tools

Online education courses

NO.48 For integrating the HPE ML PDK with existing systems, what is generally required?
Response:

A complete overhaul of the existing system

Minimal integration with no customization

Understanding of system APIs and compatibility

Specialized external consultants

NO.49 How do HPE ML solutions support decision-making processes in businesses?
Response:

By offering limited data for decision making

By providing data-driven insights for informed decisions

By discouraging reliance on data analytics

By focusing only on executive opinions

NO.50 Which of these is a crucial software prerequisite for running machine learning models?
Response:

Web browsers

Office suites

Machine learning libraries and frameworks

Email clients

NO.51 What is essential for troubleshooting in the HPE ML PDK?
Response:

Contacting HPE for every minor issue

Access to comprehensive troubleshooting guides and support

Guesswork and frequent trial-and-error

Outsourcing problem resolution

NO.52 What is an important aspect of customer service in customer engagement?
Response:

Delayed responses to inquiries

Quick and helpful responses to customer queries

Automated responses without personalization

Outsourcing customer service to reduce costs

NO.53 What is the importance of data preprocessing in machine learning solutions?
Response:

It is not necessary

It enhances the performance and accuracy of models

It is only for visualizing data

It is only required for text data

NO.54 What role does personalization play in customer engagement?
Response:

It decreases customer satisfaction

It makes communication more generic

It enhances customer experience and relevance

It is irrelevant in modern marketing

NO.55 What is the role of a hidden layer in an artificial neural network (ANN)?
Response:

It receives and weighs inputs from the preceding layer and produces outputs for the next layer.

It assigns the label to a record, or in other words, produces the final result for the ANN.

It ingresses parameters from a record and passively reformats those parameters without any changes over the training process.

It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.

NO.56 What is the primary purpose of the HPE Machine Learning Development System?
Response:

Data analysis and reporting

Scale AI model training with minimal code rewrites

Cloud storage solutions

Network security enhancement

NO.57 The HPE Machine Learning Development System helps reduce:
Response:

IT complexity

Marketing costs

Legal risks

Production timelines