Chapter 5 · Testing, Validation, and Troubleshooting·v1.0.0·Updated 6/22/2026·~11 min
What's changed: Initial: 2 sections for Domain 5 (testing, validation, and troubleshooting)
5.2Troubleshooting GenAI Applications
Key points
Learn to isolate GenAI-specific issues: context window overflow, FM API integration problems, prompt issues, retrieval issues (embedding quality/drift), and prompt maintenance with schema validation, CloudWatch Logs/X-Ray.
GenAI issues originate in input (context), retrieval, prompt, or API. Isolate the responsible layer from the symptom, then reproduce, fix, and prevent regressions systematically.
5.2.1Isolating cause from symptom
- Context overflow: truncated answers/missing info = context window overflow. Fix with dynamic chunking, prompt design, and truncation-error analysis.
- API integration issues: identify GenAI-specific integration errors via error logging, request validation, and response analysis.
- Retrieval issues: low relevance = diagnose embedding quality/drift/vectorization/chunking and optimize vector-search performance.
- Prompt maintenance: detect format inconsistencies via template testing, version comparison, and schema validation; ensure prompt observability with CloudWatch Logs/X-Ray.
Continue reading — free sign-up
You're reading the free preview. Sign up free to read this section in full, plus every chapter (including 4+) and all questions.