AWS AIP-C01 glossary of Bedrock, guardrails, retrieval, model, and agent terms.
Use this glossary when AWS Certified Generative AI Developer - Professional (AIP-C01) terms start to blur together. The goal is practical recognition, not encyclopedia coverage.
| Term | Exam meaning |
|---|---|
| Amazon Bedrock | AWS managed service for building with foundation models and related GenAI capabilities. |
| Foundation model | Large model used as a base for generative AI tasks. |
| Knowledge base | Managed retrieval source used to ground model responses in enterprise data. |
| Guardrail | Policy or control that constrains model input or output for safety and compliance. |
| Embedding | Vector representation of text or other content used for similarity search. |
| Hallucination | A plausible but unsupported or incorrect model response. |
| Pair | How to separate them |
|---|---|
| Foundation model integration vs Data management and compliance | Ask which layer the scenario is testing, then match the answer to that layer only. |
| Control vs evidence | A control changes behavior; evidence proves behavior or supports investigation. |
| Managed service vs custom build | Managed services win for lower operational effort unless the requirement needs unsupported customization. |
| Prevention vs detection | Prevention blocks or reduces a bad event; detection finds or reports that it happened. |
Do not memorize terms in isolation. For each term, write one scenario where it is the best answer, one scenario where it is a distractor, and one signal that proves it worked.