Explains data quality service levels
For each critical element: the measure that detects its failure mode, the threshold and its rationale, and what happens on a miss - who is told, by when, and what they decide (DMBOK2 ch. 13, 2.7.4).
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 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 | 99% | Not shown |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Not shown |
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: For each critical element: the measure that detects its failure mode, the threshold and its rationale, and what happens on a miss - who is told, by when, and what they decide (DMBOK2 ch. 13, 2.7.4).
How it is assessed: Answers a written question on the data quality service level correctly
Related knobits
Needed for
- Q-704 Recognises a data quality service level with no escalation
- Q-705 Recognises a service level measure unable to detect the element's failure
- Q-706 Recognises a critical data element with no service level
All 10 knobits of Set data quality service levels and the scorecard.
Source: Practice the stage 7 reference and review checklist rest on