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HP HPE0-V30 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Solution Planning and Operations25%- Solution Configuration
  • 1. Configure and quote HPE Private Cloud AI solutions
  • 2. Select appropriate services and support offerings
- Demonstrations
  • 1. Demonstrate a basic AI use case using HPE Private Cloud AI
- GreenLake Services
  • 1. Use HPE GreenLake cloud services for AI environments
  • 2. Manage updates, performance, and operational requests
- Customer Engagement
  • 1. Address changing customer requirements and solution expansion
  • 2. Understand customer and HPE responsibilities
  • 3. Use Customer Intent Documents
Topic 2: HPE Private Cloud AI Architecture25%- Software Components
  • 1. Describe software stack elements used in HPE Private Cloud AI
  • 2. Explain benefits of HPE and NVIDIA software solutions
- Infrastructure Components
  • 1. Explain compute, GPU, networking, and storage requirements for AI workloads
  • 2. Identify benefits of HPE and NVIDIA infrastructure components
  • 3. Describe HPE Private Cloud AI with NVIDIA architecture
- Sizing
  • 1. Size HPE Private Cloud AI solutions using customer requirements and HPE tools
Topic 3: AI Infrastructure Deployment and Management25%- Edge and Inferencing Solutions
  • 1. Design edge inferencing solutions
  • 2. Select appropriate servers, GPUs, and networking components
- Compute Management
  • 1. Apply best practices for HPE ProLiant deployments
  • 2. Manage server lifecycle and firmware updates
  • 3. Use HPE Compute Ops Management
- Storage and Virtualization
  • 1. Design storage solutions for AI and compute workloads
  • 2. Describe HPE VM Essentials features and benefits
  • 3. Deploy HPE VM Essentials environments
- Optimization and Troubleshooting
  • 1. Troubleshoot AI and compute environments
  • 2. Optimize performance of compute and AI solutions
Topic 4: AI Fundamentals and Business Value25%- AI Adoption
  • 1. Assess customer AI maturity
  • 2. Position HPE AI solutions based on customer requirements
  • 3. Identify AI opportunities and business outcomes
- AI Concepts
  • 1. Define artificial intelligence, machine learning, deep learning, and generative AI
  • 2. Identify common AI workloads and use cases

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