Use this quick start guide to collect all the information about HPE AI and Machine Learning (HPE2-T38) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the HPE2-T38 HPE AI and Machine Learning exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual HPE AI and Machine Learning certification exam.
The HPE AI and Machine Learning certification is mainly targeted to those candidates who want to build their career in High Performance Computing domain. The HPE AI and Machine Learning exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of HPE AI and Machine Learning.
HPE AI and Machine Learning Exam Summary:
| Exam Name | HPE AI and Machine Learning |
| Exam Code | HPE2-T38 |
| Exam Price |
Developed Countries: $140 (USD) Emerging Countries: $75 (USD) |
| Duration | 90 mins |
| Number of Questions | 50 |
| Passing Score | 70% |
| Books / Training | HPE AI and Machine Learning, Rev. 23.41 |
| Schedule Exam | Pearson VUE |
| Sample Questions | HPE AI and Machine Learning Sample Questions |
| Practice Exam | Hewlett Packard Enterprise HPE2-T38 Certification Practice Exam |
Hewlett Packard Enterprise HPE2-T38 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Understand machine learning (ML) ecosystem fundamentals: |
- Recognize the fundamentals of the technology - Identify the challenges customers face in training DL models - Classify Potential Components of an ML ecosystem |
13% |
| Examine the HPE ML Offerings: |
- Recite key capabilities of HPEs AI at-scale portfolio software - Align relevant HPE ML solutions to customer goals - Recognize different HPE deployment solutions |
15% |
| Describe requirements and prerequisites for HPE machine learning solutions: |
- Compare HPE machine learning (ML) architecture and deployment options - Recognize some common factors regarding required infrastructures |
13% |
| Articulate the business value of HPE ML solutions: |
- Articulate the benefits of MLDMS - Articulate the benefits of MLDE - Describe how HPE AI offerings fit in the market |
24% |
| Demonstrate and explain how to use HPE machine learning (ML) [PDK]: |
- Explain the fundamentals of PDK. - Demonstrate an ability to engage with data versioning and lineage - Explain how to train a new model - Explain how to deploy the model - Demonstrate ability to automate and integrate these steps for deployment |
18% |
| Compare HPE Machine Learning enterprise offerings to open-source versions: | - Describe Current Enterprise features | 7% |
| Engage with customers: |
- Qualify customers for HPE AI offerings - Identify the appropriate personas for engagement - Demonstrate a proof of concept (PoC) |
10% |
To ensure success in HPE AI and Machine Learning certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for HPE AI and Machine Learning (HPE2-T38) exam.