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HP HPE3-CL14 Exam Syllabus Topics:

SectionWeightObjectives
Security, Governance & Operations20%- Operational best practices
  • 1. Troubleshooting and optimization
    • 2. Backup, recovery, and high availability
      - Security for AI environments
      • 1. Access control and encryption
        • 2. Data protection and compliance
          AI Platform & Workload Management25%- Workload lifecycle management
          • 1. Monitoring and observability
            • 2. Scheduling and resource optimization
              - AI platform components
              • 1. Data management and pipeline design
                • 2. Model training and serving frameworks
                  Infrastructure Design & Deployment30%- Compute, storage, and networking for AI
                  • 1. GPU/accelerator integration
                    • 2. High-performance storage design
                      - Deployment models and tools
                      • 1. Containerization and Kubernetes
                        • 2. HPE infrastructure orchestration
                          Private Cloud AI Architecture & Concepts25%- HPE Private Cloud AI solution overview
                          • 1. Components and building blocks
                            • 2. Use cases and business value
                              - Core principles of AI in private cloud
                              • 1. Private cloud vs public cloud for AI
                                • 2. AI workload characteristics & requirements

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