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How to Earn the Hewlett Packard
Enterprise HPE2-T38 HPE Product
Certified - AI and Machine Learning
Certification on Your First Attempt?
Earning the Hewlett Packard Enterprise HPE2-T38 certification is a dream for
many candidates. But, the preparation journey feels difficult to many of them.
Here we have gathered all the necessary details like the syllabus and essential
HPE2-T38 sample questions to get to the HPE Product Certified - AI and
Machine Learning certification on the first attempt.
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HPE2-T38 AI and Machine Learning Summary:
Exam Name
Exam Code
HPE Product Certified - AI and Machine Learning
HPE2-T38
Developed Countries: $140 (USD)
Exam Price
Emerging Countries: $75 (USD)
Duration
90 mins
Number of Questions 50
Passing Score
70%
Books / Training
HPE AI and Machine Learning, Rev. 24.11
Schedule Exam
Pearson VUE
Sample Questions
HPE AI and Machine Learning Sample Questions
Hewlett Packard Enterprise HPE2-T38 Certification Practice
Practice Exam
Exam
Let’s Explore the Hewlett Packard Enterprise HPE2-T38 Exam
Syllabus in Detail:
Topic
Understand machine
learning (ML)
ecosystem
fundamentals:
Details
Weights
- Recognize the fundamentals of the technology
- Identify the challenges customers face in training DL
13%
models
- Classify Potential Components of an ML ecosystem
- Recite key capabilities of HPEs AI at-scale portfolio
Examine the HPE ML software
15%
Offerings:
- Align relevant HPE ML solutions to customer goals
- Recognize different HPE deployment solutions
Describe
- Compare HPE machine learning (ML) architecture and
requirements and
deployment options
prerequisites for HPE
13%
- Recognize some common factors regarding required
machine learning
infrastructures
solutions:
Articulate the
- Articulate the benefits of MLDMS
business value of
- Articulate the benefits of MLDE
24%
HPE ML solutions:
- Describe how HPE AI offerings fit in the market
- Explain the fundamentals of PDK.
- Demonstrate an ability to engage with data versioning
Demonstrate and
and lineage
explain how to use
- Explain how to train a new model
18%
HPE machine
- Explain how to deploy the model
learning (ML) [PDK]:
- Demonstrate ability to automate and integrate these
steps for deployment
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Compare HPE
Machine Learning
- Describe Current Enterprise features
enterprise offerings to
open-source versions:
- Qualify customers for HPE AI offerings
Engage with
- Identify the appropriate personas for engagement
customers:
- Demonstrate a proof of concept (PoC)
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10%
Experience the Actual Exam Structure with Hewlett Packard
Enterprise HPE2-T38 Sample Questions:
Before jumping into the actual exam, it is crucial to get familiar with the exam
structure. For this purpose, we have designed real exam-like sample questions.
Solving these questions is highly beneficial to getting an idea about the exam
structure and question patterns. For more understanding of your preparation
level, go through the HPE2-T38 practice test questions. Find out the beneficial
sample questions below -
Answers for Hewlett Packard Enterprise HPE2-T38 Sample Questions
01. What is the role of a hidden layer in an artificial neural network (ANN)?
a) It receives and weighs inputs from the preceding layer and produces outputs
for the next layer.
b) It assigns the label to a record, or in other words, produces the final result for
the ANN.
c) It ingresses parameters from a record and passively reformats those
parameters without any changes over the training process.
d) It does not play a role during the forward pass of data through the ANN, but it
helps to optimize during the backward pass.
Answer: a
02. For large-scale machine learning solutions, what type of data handling
capability is essential?
a) Ability to handle small, static datasets only
b) Capability to process and analyze large, dynamic datasets
c) Only cloud-based data handling is required
d) The ability to process data is not important
AI and Machine Learning
Answer: b
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03. What is the importance of data preprocessing in machine learning solutions?
a) It enhances the performance and accuracy of models
b) It is not necessary
c) It is only for visualizing data
d) It is only required for text data
Answer: a
04. Why are loyalty programs an effective tool in customer engagement?
a) They discourage repeat purchases
b) They offer rewards and incentives for customer loyalty
c) They have no impact on customer behavior
d) They are only beneficial for high-spending customers
Answer: b
05. How can HPE ML solutions affect a business's time-to-market for new
products or services?
a) They significantly increase time-to-market
b) They have no effect on time-to-market
c) They can reduce time-to-market with faster insights and development
d) They only focus on post-market analysis
Answer: c
06. What is the impact of HPE ML solutions on a business's operational efficiency?
a) Increased reliance on manual processes
b) Minimal impact on operations
c) Decrease in overall efficiency
d) Significant improvement in operational efficiency
Answer: d
07. When it comes to data privacy compliance, how do HPE solutions compare to
open-source?
a) HPE solutions often have more robust compliance mechanisms
b) Open-source versions are better at ensuring compliance
c) Both are equally effective in compliance
d) Neither addresses data privacy compliance
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Answer: a
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08. In the context of HPE machine learning solutions, what role does GPU
acceleration play?
a) It is optional and not very beneficial
b) It speeds up model training and inference
c) It is only used for graphical outputs
d) It reduces the accuracy of models
Answer: b
09. What is a key benefit of HPE Machine Learning solutions in terms of
integration with existing enterprise systems?
a) More complex integration than open-source
b) Similar integration challenges as open-source
c) Easier and more seamless integration
d) No integration capabilities
Answer: c
10. Which of the following is essential for optimizing ML models with the HPE ML
PDK?
a) Access to HPE’s proprietary data
b) Expertise in a specific programming language
c) Constant internet connectivity
d) Understanding of model optimization techniques
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Answer: d
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