Failing the HPE AI and Machine Learning exam means paying the registration fee all over again. A set of 108 updated HPE2-T38 practice questions from Dumpkiller costs far less than a retake — a smart investment for 2026 candidates.
HP HPE2-T38 Exam Overview:
| Certification Vendor: | HPE |
|---|---|
| Exam Name: | HPE AI and Machine Learning |
| Exam Number: | HPE2-T38 |
| Available Languages: | Korean, Japanese, English |
| Exam Format: | Multiple Choice |
| Passing Score: | 70% |
| Real Exam Qty: | 50 |
| Related Certifications: | HPE Product Certified - AI and Machine Learning |
| Exam Duration: | 90 minutes |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Web-based online exam |
| Pre Condition: | Recommended to have foundational knowledge of AI, machine learning, and HPE machine learning solutions. |
| Official Syllabus URL: | https://education.hpe.com/ww/en/training/docs/cds/h61x2s.pdf |
HP HPE2-T38 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Engage with Customers | 10% | - Customer engagement and proof of concept
|
| Compare HPE ML Enterprise Offerings to Open-Source Versions | 7% | - Enterprise vs open-source comparison
|
| Demonstrate and Explain How to Use HPE Machine Learning PDK | 18% | - Using HPE ML PDK
|
| Examine HPE Machine Learning Offerings | 15% | - HPE AI and ML portfolio
|
| Articulate the Business Value of HPE ML Solutions | 24% | - Business value and positioning
|
| Describe Requirements and Prerequisites for HPE ML Solutions | 13% | - Architecture and deployment
|
| Understand Machine Learning Ecosystem Fundamentals | 13% | - Machine learning technology fundamentals
|
HPE AI and Machine Learning: Common Questions From Candidates
What is the HPE AI and Machine Learning certification exam?
The HPE AI and Machine Learning exam (code: HPE2-T38) is the official HP exam that leads to the High Performance Computing certification. It sits at the Professional level of the HP certification track. It is also connected with related credentials such as HPE Product Certified - AI and Machine Learning. Passing it proves to employers that your skills have been validated by HP itself, which is why the HPE2-T38 credential keeps showing up in job postings.
How many questions are in the HPE2-T38 exam, and how long does it take?
The HPE AI and Machine Learning exam gives you 90 minutes to work through 50. Pacing matters more than most candidates expect, so before exam day, run at least one full timed session in the Dumpkiller test engine to learn how long you can afford per question. If an item stalls you, flag it and move on — coming back later beats burning five minutes on a single question.
Are there any prerequisites for the HPE2-T38 exam?
According to HP, the following applies: Recommended to have foundational knowledge of AI, machine learning, and HPE machine learning solutions.. Certification policies do change from time to time, so confirm the latest requirements on the official exam page at https://education.hpe.com/ww/en/training/docs/cds/h61x2s.pdf before you register.
Can I try the HPE2-T38 practice questions before buying?
Yes. Dumpkiller offers a free HPE2-T38 PDF demo so you can review the question style, difficulty, and explanations before committing to anything. After purchase, your HPE AI and Machine Learning material includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.
What happens if I do not pass the HPE2-T38 exam, and how is my order delivered?
If you take the corresponding HPE2-T38 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee, subject to a few conditions: the failed exam must be the one matching your purchase; sitting the exam within 3 days of purchase does not qualify, since that leaves too little preparation time; downloading the material without actually taking the exam does not qualify; free materials and expired orders are excluded; and the candidate name must match the payer name. To apply, send a scanned copy of your enrollment slip together with your official Score Report (PDF) within 2 days after the exam, and claims are processed within 7 days. If you would rather not take a refund, you can exchange your purchase for two free products of equal value while keeping the update service on the product you originally bought. As for delivery, everything is an instant download: your products are sent to your email within one minute of payment — contact customer service if nothing arrives within 2 hours — and there is no limit on the number of computers you can install the software on.
What topics are covered in the HPE2-T38 exam?
The official HPE AI and Machine Learning syllabus is organized into 7 main domains. The first three are Describe Requirements and Prerequisites for HPE ML Solutions (13%), Examine HPE Machine Learning Offerings (15%), and Articulate the Business Value of HPE ML Solutions (24%). For the full domain-by-domain breakdown, see the complete Exam Topics outline above.
HPE AI and Machine Learning Sample Questions:
Question 1
Which of these is a key benefit of effective customer engagement?
Response:
A. Increased customer retention
B. Limited customer feedback
C. Decreased brand loyalty
D. Reduced product quality
Question 2
How is user training typically addressed in the HPE ML PDK?
Response:
A. Through extensive in-person training sessions
B. Via online tutorials and documentation
C. It is not provided
D. Solely through third-party training providers
Question 3
How does the cost of using HPE Machine Learning solutions generally compare to open-source versions?
Response:
A. HPE solutions are always free
B. There is no cost difference
C. HPE solutions may have higher upfront costs
D. Open-source versions are typically more expensive
Question 4
How do HPE ML solutions assist businesses in market analysis?
Response:
A. By ignoring market dynamics
B. By providing outdated market trends
C. By focusing only on historical data
D. By delivering real-time insights and forecasts
Question 5
In the context of the HPE ML PDK, what does scalability refer to?
Response:
A. The number of users that can use the kit simultaneously
B. The kit,s ability to handle increasing computational loads
C. The geographic distribution of the servers
D. The physical size of the hardware
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: B |


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