Explains restore testing
Regular, full-scope restore tests whose measured time is compared with the RTO.
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 | 99% | Mastered |
| gemini-3.5-flash-lite | Low cost | 69% | Not shown |
| gpt-6-luna | Low cost | 69% | Not shown |
| claude-haiku-5-5 | Low cost | 99% | 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: Regular, full-scope restore tests whose measured time is compared with the RTO.
How it is assessed: Answers a written question on the restore testing correctly
Related knobits
Builds on
Needed for
- O-303 Recognises a restore never tested
- O-304 Recognises a stale restore test
- O-310 Recognises a restore slower than the RTO
All 14 knobits of Plan backup, recovery and continuity.
Source: Practice the stage 3 reference and review checklist rest on