Operational level · OCS

CIMA OCS past questions by sitting

Every sub-task from recent Operational Case Study pre-seens, summarised in our own words and sorted by core activity. One sitting at a time, with the number of matching sub-tasks on each.

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May & Aug 2026 · SoPa: showing 5 of 5 sub-tasks that match your filters (200 in all OCS sittings). Clear filters

May & Aug 2026 · SoPa

CIMA's post-exam materials for May & Aug 2026

Restaurants · 5 sub-tasks shown

OCS past questions, May & Aug 2026 (SoPa): task, core activity, topic and our summary
Task	Core activity	Topic	What was asked (our summary)
V2 · Task 1(a)	Core activity B: Budgeting	Forecasting and big data	Whether time series analysis of past sales would give a usable sales forecast.
V2 · Task 1(b)	Core activity B: Budgeting	Forecasting and big data	How AI and big data could improve sales forecasts.
V3 · Task 1(b)	Core activity B: Budgeting	Forecasting and big data	Benefits of big data analytics and AI for forecasting restaurant sales.
V4 · Task 1(b)	Core activity B: Budgeting	Forecasting and big data	How data-gathering technology can inform the pop-up restaurant's budgets.
V5 · Task 4(b)	Core activity B: Budgeting	Forecasting and big data	Technology and data sources for forecasting outside demand for a crop.

V2 · Task 1(a)Core activity B: Budgeting
Whether time series analysis of past sales would give a usable sales forecast.
Forecasting and big data
V2 · Task 1(b)Core activity B: Budgeting
How AI and big data could improve sales forecasts.
Forecasting and big data
V3 · Task 1(b)Core activity B: Budgeting
Benefits of big data analytics and AI for forecasting restaurant sales.
Forecasting and big data
V4 · Task 1(b)Core activity B: Budgeting
How data-gathering technology can inform the pop-up restaurant's budgets.
Forecasting and big data
V5 · Task 4(b)Core activity B: Budgeting
Technology and data sources for forecasting outside demand for a crop.
Forecasting and big data

See how we'd mark three OCS past questions