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HP Certification HPE3-CL09

HPE3-CL09

Exam Code: HPE3-CL09

Exam Name: Data Solutions for AI Exam

Updated: Oct 05, 2026

Q&A Number: 0 Q&As

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HP HPE3-CL09 Exam Syllabus Topics:

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

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