SAP C_IBP_2502 Dumps

The Time-Series Supply Optimizer in SAP IBP minimizes an objective function (cost-based), penalizing violations of soft constraints, while hard constraints must be fully satisfied, per SAP IBP’s optimization documentation.

Option A: Violation of minimum resource utilizationThis is correct. Minimum resource utilization (e.g., machine usage) is a soft constraint; violations incur penalties (e.g., underutilization costs), influencing the objective function.

Option B: Not respecting production capacityThis is incorrect. Production capacity is a hard constraint in the optimizer; it cannot be violated, only respected, unlike soft constraints with penalties.

Option C: Not fully satisfied demandsThis is correct. Unsatisfied demand (non-delivery) is a soft constraint, penalized via high non-delivery costs in the objective function, a core optimizer feature.

Option D: Violation of minimum aggregated inventory valuesThis is correct. Minimum inventory levels (e.g., safety stock) are soft constraints; violations are penalized (e.g., stockout costs), affecting the objective function.

Thus, A, C, and D are penalized solutions, per SAP IBP’s optimizer behavior.

Master data types in SAP IBP define planning objects, with "Component" typically referring to a specific type like Production Source Item Component, per SAP IBP’s documentation.

Option A: Virtual master data typeThis is incorrect. Virtual types are temporary or derived, not standard for components.

Option B: Compound Master Data TypeThis is incorrect. Compound types (e.g., SOURCECUSTOMER) combine multiple simple types, not specifically "Component."

Option C: Reference Master Data TypeThis is correct. The Component master data type (e.g., in Production Source Item) is a Reference type, linking to a Product, per SAP IBP’s master data hierarchy (e.g., referencing Product ID).

Option D: External Master Data TypeThis is incorrect. External types are sourced externally, not a fit for Component.

Thus, C is the correct type, per SAP IBP’s official master data definitions.

SAP IBP Excel template performance depends on data volume, calculations, and UI rendering. Key areas impact runtime significantly, as per SAP’s performance best practices.

Option A: Excessive SAP IBP formatting in the Microsoft Excel UIThis is correct. Overuse of formatting (e.g., conditional formatting, custom styles) in the Excel add-in increases rendering time, especially with large datasets, a known performance bottleneck per SAP IBP’s Excel guidelines.

Option B: Number of local members and complexity of calculationThis is incorrect in this context. Local members (ad-hoc Excel calculations) can slow individual views, but they’re user-specific and not a primary template design factor compared to system-level issues.

Option C: Complex calculation graphs for key figuresThis is correct. Complex calculation graphs (e.g., nested dependencies across key figures) increase processing time during refresh or planning runs, a major performance driver, per SAP IBP’s calculation engine documentation.

Option D: Number of analytics charts displaying key figures' valuesThis is incorrect. Charts in Excel are minimal and don’t significantly impact template performance compared to formatting or calculations. Chart-heavy analysis is more relevant to Analytics apps.

Thus, A and C are the biggest performance impact areas, per SAP IBP’s Excel optimization advice.