HP HPE2-T38 Exam Overview:
| Certification Vendor: | HPE |
| Exam Name: | HPE AI and Machine Learning |
| Exam Number: | HPE2-T38 |
| Exam Format: | Multiple Choice |
| Available Languages: | English, Japanese, Korean |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Related Certifications: | HPE Product Certified - AI and Machine Learning |
| Real Exam Qty: | 50 |
| Sample Questions: | HP HPE2-T38 Sample Questions |
| 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 |
|---|---|---|
| Topic 1: Demonstrate and Explain How to Use HPE Machine Learning PDK | 18% | - Using HPE ML PDK
|
| Topic 2: Articulate the Business Value of HPE ML Solutions | 24% | - Business value and positioning
|
| Topic 3: Understand Machine Learning Ecosystem Fundamentals | 13% | - Machine learning technology fundamentals
|
| Topic 4: Compare HPE ML Enterprise Offerings to Open-Source Versions | 7% | - Enterprise vs open-source comparison
|
| Topic 5: Describe Requirements and Prerequisites for HPE ML Solutions | 13% | - Architecture and deployment
|
| Topic 6: Examine HPE Machine Learning Offerings | 15% | - HPE AI and ML portfolio
|
| Topic 7: Engage with Customers | 10% | - Customer engagement and proof of concept
|
HPE AI and Machine Learning Sample Questions:
1. In terms of risk management, how can HPE ML solutions benefit businesses?
Response:
A) By increasing risk exposure
B) By focusing only on financial risks
C) By ignoring potential risks
D) By enhancing the ability to predict and mitigate risks
2. What is a key strategy in engaging with customers through social media?
Response:
A) Infrequent updates
B) Posting only promotional content
C) Regular, interactive, and relevant content
D) Focusing solely on competitor criticism
3. Which component is essential to start working with the HPE ML PDK?
Response:
A) Compatible hardware and software environment
B) An HPE ML PDK user account
C) A high-speed internet connection
D) An HPE-specific keyboard
4. The unique feature of HPE''s Machine Learning Development Environment is its ability to:
Response:
A) Help build and train ML models efficiently
B) Manage corporate finance systems
C) Support high-volume e-commerce transactions
5. What is the main application of HPE ProLiant Servers in ML?
Response:
A) Cloud storage optimization
B) Supporting AI applications like computer vision
C) Blockchain technology
D) IoT device management
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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By Lance

