Explains the system of record
The one application where an entity is created and changed; reporting stores consume, never author.
Can AI do this?
AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 100% | Mastered |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The one application where an entity is created and changed; reporting stores consume, never author.
How it is assessed: Answers a written question on the system of record correctly
Related knobits
Needed for
- A-203 Recognises a subject area with no system of record
- A-204 Recognises a subject area with two systems of record
- A-208 Recognises a system of record not creating its data
- A-211 Recognises a reporting store as system of record
- A-301 Recognises an entity created in two applications
- A-303 Recognises an update outside the system of record
- A-304 Recognises a creator outside the system of record
- A-306 Recognises a data flow into the system of record
- A-331 Raises a double creation as a business decision
- A-351 Explains reading a CRUD matrix by entity
- A-405 Recognises a placement contradicting the system of record
- A-453 Explains the traceability of target placements
All 17 knobits of Build the enterprise data model of subject areas.
Source: Practice the stage 2 reference and review checklist rest on