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HPE2-N69 certification exam covers a range of topics, including AI model creation, deployment, and management with HPE Cray AI Development Environment. Candidates will need to demonstrate their ability to perform tasks such as designing and building AI models, optimizing AI models for performance, and integrating AI models into existing applications.
HP HPE2-N69 exam consists of 50 multiple-choice questions that need to be answered within 75 minutes. HPE2-N69 exam covers a variety of topics such as planning and designing AI solutions, implementing and testing AI solutions, and troubleshooting and maintaining AI solutions. Candidates are required to have a fundamental understanding of AI concepts, programming languages, and HPE Cray AI Development Environment. Candidates who pass the exam will be awarded the HPE Sales Certified - Using HPE Cray AI Development Environment certification.
Reference: https://certification-learning.hpe.com/tr/datacard/exam/HPE2-N69
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HP HPE2-N69 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integration and Operations | 13% | - Manage data and model lifecycle - Monitor cluster health and performance |
| Environment Usage & Workload Management | 33% | - Run and manage different types of experiments - Understand resource allocation and scheduling - Navigate web UI and CLI tools |
| Architecture and Deployment | 15% | - Describe software architecture of HPE Cray AI/ML Environment - Explain deployment options and system components - Differentiate from open-source Determined AI |
| ML and DL Fundamentals & Customer Challenges | 24% | - Articulate business value and use cases for HPE solutions - Identify common challenges in training deep learning models - Explain core machine learning and deep learning concepts |
| Solution Qualification & Sizing | 15% | - Qualify customers for HPE ML solutions - Perform basic sizing and configuration - Position against market alternatives |
