Explains warehouse load controls
Rows and amounts in, out and rejected per load, held rejects, and a late-data policy (BCBS 239 Principles 3-4; DMBOK2 ch. 11).
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 | 98% | Mastered |
| gpt-6-luna | Low cost | 97% | 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: Rows and amounts in, out and rejected per load, held rejects, and a late-data policy (BCBS 239 Principles 3-4; DMBOK2 ch. 11).
How it is assessed: Answers a written question on the load controls correctly
Related knobits
Needed for
- W-401 Recognises a warehouse load with no control totals
- W-402 Recognises load rejects dropped
- W-403 Recognises late data silently excluded
All 14 knobits of Populate the warehouse and reconcile it.
Source: Practice the stage 4 reference and review checklist rest on