Use this quick start guide to collect all the information about HPE AI and Machine Learning (HPE2-N69) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the HPE2-N69 Using 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 Compute domain. The HPE ASE - Compute Solutions V1 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 ASE - Compute Solutions V1 |
| Exam Code | HPE2-N69 |
| Exam Price |
Developed Countries: $ 140 (USD) Emerging Countries: $ 75 (USD) |
| Duration | 90 mins |
| Number of Questions | 40 |
| Passing Score | 65% |
| Books / Training | Using HPE AI and Machine Learning, Rev. 22.21 |
| Schedule Exam | Pearson VUE |
| Sample Questions | HPE AI and Machine Learning Sample Questions |
| Practice Exam | Hewlett Packard Enterprise HPE2-N69 Certification Practice Exam |
Hewlett Packard Enterprise HPE2-N69 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Understand machine learning (ML) and deep learning (DL) fundamentals |
- Have a conversation with customers about machine learning (ML) and deep learning (DL) - Understand the challenges customers face in training DL models |
24% |
| Articulate the business case for HPE Machine Learning Development solutions |
- Explain how HPE Machine Learning Development Environment helps customers surmount their challenges - Describe how HPE Machine Learning Development Environment fits in the market |
13% |
| Describe the architecture for HPE Machine Learning Development solutions |
- Describe the HPE Machine Learning Development Environment software architecture and deployment options - Describe the HPE Machine Learning Development System |
15% |
| Demonstrate and explain how to use HPE Machine Learning Development Environment |
- Demonstrate running a variety of experiment types on the HPE Machine Learning Development Environment - Explain how the Machine Learning Development Environment uses resources and schedules workloads |
33% |
| Engage with customers |
- Qualify customers for HPE Machine Learning Development Environment and System - Size HPE Machine Learning Development Environment and System solutions - Run a proof of concept (PoC) |
15% |
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 Using HPE AI and Machine Learning (HPE2-N69) exam.