Explains measurable service levels
Measure, numeric target, window, measurement point, exclusions, owner and consequence (ITIL 4, ISO/IEC 20000-1).
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: Measure, numeric target, window, measurement point, exclusions, owner and consequence (ITIL 4, ISO/IEC 20000-1).
How it is assessed: Answers a written question on the service level definition correctly
Related knobits
Needed for
- O-601 Recognises an SLA with no measurement point
- O-602 Recognises availability with no window
- O-603 Recognises exclusions swallowing the peak
- O-606 Recognises an SLA with no owner
- O-607 Recognises an SLA with no consequence
- O-608 Recognises an SLA depending on an unknown OLA
- O-610 Recognises a non-numeric service target
- O-652 Explains composing service levels from components
All 13 knobits of Define SLAs and OLAs.
Source: Practice the stage 6 reference and review checklist rest on