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HP HPE2-T38 Exam Overview:
| Certification Vendor: | Hewlett Packard Enterprise (HPE) |
|---|---|
| Exam Name: | HPE AI and Machine Learning |
| Exam Number: | HPE2-T38 |
| Exam Format: | Multiple choice, Fill in the blank, Drag and drop |
| Available Languages: | English, Japanese, Korean |
| Exam Price: | $75 - $140 USD |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 50 |
| Passing Score: | 70% |
| Certificate Validity Period: | 3 years |
| Recommended Training: | HPE AI and Machine Learning Training Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | HP HPE2-T38 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended knowledge of AI/ML concepts and HPE solutions |
| Official Syllabus URL: | https://www.hpe.com/us/en/certification/exams/hpe2-t38.html |
HP HPE2-T38 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Ecosystem Fundamentals | 13% | - Basics of machine learning technology - Challenges in training deep learning models - Components of a machine learning ecosystem |
| Business Value of HPE Machine Learning Solutions | 24% | - Cost optimization and efficiency benefits - Accelerated innovation and time-to-value - Differentiators compared to alternative solutions |
| HPE Machine Learning Offerings | 15% | - Different deployment models for HPE solutions - Capabilities of HPE AI at-scale portfolio software - Aligning HPE solutions with customer requirements |
| HPE vs Open Source Machine Learning Solutions | 7% | - Scalability and performance differences - Enterprise readiness and support - Feature comparison |
| Requirements and Prerequisites for HPE Machine Learning Solutions | 13% | - Hardware and software requirements - Infrastructure and environment prerequisites |
| Using HPE Machine Learning Professional Development Kit (PDK) | 18% | - Automation and integration workflows - Model deployment and monitoring - PDK fundamentals and architecture - Data versioning and lineage management - Model training and optimization |
HPE AI and Machine Learning Sample Questions:
Question #1
In what way can HPE ML solutions impact a business''s customer service?
Response:
- A. By automating customer complaints only
- B. By increasing the response time to customer queries
- C. By reducing interaction with customers
- D. By providing more personalized customer experiences
Correct Answer: D 🗳️
Question #2
How do HPE ML solutions typically benefit businesses in terms of data processing?
Response:
- A. By enabling faster and more efficient data processing
- B. By limiting data access to specific departments
- C. By reducing the amount of data needed
- D. By increasing the complexity of data processing
Correct Answer: A 🗳️
Question #3
What role do HPE ML solutions play in a business''s product development?
Response:
- A. They focus only on replicating existing products
- B. They hinder the development of new products
- C. They have no impact on product development
- D. They contribute to more innovative and effective product development
Correct Answer: D 🗳️
Question #4
How can businesses use customer data to improve engagement?
Response:
- A. By collecting data without analysis
- B. By ignoring the data collected
- C. By utilizing the data to understand customer preferences
- D. By selling the data to third parties
Correct Answer: C 🗳️
Question #5
What is an important aspect of customer service in customer engagement?
Response:
- A. Delayed responses to inquiries
- B. Outsourcing customer service to reduce costs
- C. Quick and helpful responses to customer queries
- D. Automated responses without personalization
Correct Answer: C 🗳️
By Matthew
