HPE3-CL09 Exam Information and Outline
Data Solutions for AI Exam
Syllabus Update Checked on: November 4, 2026
HPE3-CL09 Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official HPE3-CL09 exam objectives. This course outline serves as your roadmap.
The information below reflects the 2026 syllabus defined by
HPE.
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
- Exam Format
- Web-based badge exam; approx. 30 single-response multiple-choice questions; 1 hour; passing score 75%; based on the associated HPE continuous learning path
- AI Data Pipeline Requirements
- Ingest, prepare, train, infer
- Storage for AI Training and Inference
- Throughput and latency needs
- High-Performance File Storage
- Parallel file systems
- Data Management for AI
- Data lakes and governance
- Positioning HPE Data Solutions for AI
- Use cases and sizing