HP Data Solutions for AI : HPE3-CL09

  • Exam Code: HPE3-CL09
  • Exam Name: Data Solutions for AI Exam
  • Updated: Oct 11, 2026
  • Q & A: 0 Questions and Answers

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About HP Data Solutions for AI : HPE3-CL09 Exam

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HP HPE3-CL09 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Solution Design and Implementation10%- Deployment and operational considerations
  • 1. Troubleshooting and maintenance
  • 2. Installation, configuration, monitoring
- Design principles for AI data solutions
  • 1. Best practices and reference architectures
  • 2. Requirements analysis and solution sizing
Topic 2: AI Workload Optimization15%- Integration with AI frameworks and tools
  • 1. TensorFlow, PyTorch, Apache Spark compatibility
  • 2. Orchestration and deployment
- Storage and compute optimization for AI
  • 1. Scalability and resource management
  • 2. Performance tuning for training and inference
Topic 3: Data Preparation and Management20%- Data ingestion, transformation, and cleansing
  • 1. Data quality and consistency
  • 2. Tools and methodologies for data preparation
- Data governance, security, and compliance
  • 1. Access control, encryption, privacy regulations
  • 2. Data lineage and auditability
Topic 4: AI Data Fundamentals20%- AI data lifecycle
  • 1. Data pipelines and workflow automation
  • 2. Collection, preparation, storage, processing, governance
- Data types and requirements for AI/ML workloads
  • 1. Structured, semi-structured, unstructured data
  • 2. Data volume, velocity, variety, veracity
Topic 5: HPE Data Solutions for AI35%- HPE storage for AI workloads
  • 1. High-performance storage for training and inference
  • 2. HPE Alletra, HPE Nimble, HPE Primera solutions
- HPE GreenLake for data and AI
  • 1. Hybrid cloud data integration
  • 2. As-a-service consumption models
- HPE Data Fabric architecture and capabilities
  • 1. Unified data management across edge, core, cloud
  • 2. Data services and integration

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