SAP Certified Application Associate - SAP IBP for Supply Chain - C-IBP-2208 Free Exam Questions

A. Time series analysis

B. Multi-Level Supply Planning Heuristics

C. Scenario analysis for operational supply planning

D. Simple statistical forecast

A. IF("PERIODID3" ="$$PERIODID3CU$$...)

B. IF("PERIODID5" ="$$PERIODID5CU$$...)

C. IF("PERIODID4" ="$$PERIODID4CU$$...)

D. IF("PERIODID2" ="$$PERIODID2CU$$...)

A. Forecast Error CV Calculated by Manage Forecast Error Calculations app

B. Recommended Safety Stocks from Multistage Inventory Optimization

C. Future Consensus Forecasts and Lagged Forecast Snapshots

D. Sales Order Quantities (both historical and future open orders)

A. Search for and return the last not null value of the inventory key figure

B. Calculating the value of inventory on a weekly basis, using static aggregation from the daily level

C. Calculating how many periods inventory is going to last based on the planned demand

D. Calculating the value of inventory on any time profile level ensuring flexibility of calculation

A. Changing customer sources and reassigning customers to new DCs

B. Using the realignment run to identify obsolete data

C. Merging two locations into a new location

D. Removing outliers from the sales history of a reference product before transferring its sales to a new product

A. Created as type INTEGER and assigned to a compound master data type

B. Created as type DECIMAL and assigned to a compound master data type

C. Created as type NVARCHAR and assigned to an external master data type

D. Created as type INTEGER and assigned to a simple master data type

A. Not-fully satisfied demands

B. Not respecting production capacity

C. Not adhering to maximum transport values

D. Violation of minimum resource utilization

E. Violation of minimum aggregated inventory values

A. Finite heuristics can achieve demand prioritization and pegging.

B. Planning results can be generated faster by the optimizer.

C. Push and Pull production models are used by the optimizer.

D. Prioritization of demand elements one by one is achieved by unconstrained heuristics.