Pass the SAP SAP Certified Application Associate C_IBP_2502 Questions and answers with CertsForce

The Advanced Dashboards app in SAP IBP creates customizable dashboards with analytical charts,per SAP IBP’s visualization documentation.

Option A: Use drill-down functionalityThis is correct. Drill-down (e.g., from region to product) is supported in charts, enhancing analysis, per SAP IBP’s features.

Option B: Add process instancesThis is incorrect. Process instances relate to process management (e.g., Process Automation app), not dashboard actions.

Option C: Link two analytics chartsThis is incorrect. Linking charts (e.g., synchronized filters) is more a feature of Analytics Stories, not Advanced Dashboards directly.

Option D: Rename the chartsThis is correct. Users can rename charts in the dashboard for clarity, a standard customization, per SAP IBP’s documentation.

Option E: Display all assigned analytics on a single UIThis is correct. The app consolidates assigned charts into one dashboard UI, a core feature, per SAP IBP’s guides.

Thus, A, D, and E are actions, per SAP IBP’s official Advanced Dashboards capabilities.

Planning filters in SAP IBP, created via the Manage Planning Filters app (Fiori-based), define subsets of data (e.g., by Product, Location) for use across various applications. Their applicability depends on SAP IBP’s functional scope.

Option A: Planning view templates in the SAP IBP, add-in for Microsoft ExcelThis is correct. Planning filters can be applied to planning view templates in the Excel add-in to restrict data displayed or edited (e.g., show only products in Region X). This is a core feature for planners, as per SAP IBP’s Excel integration documentation.

Option B: Jobs in the Application Jobs appThis is correct. Planning filters can be parameters in application jobs (e.g., Copy Operator, Purge Data) to limit the scope of data processed (e.g., purge data for specific Locations). This is a standard capability in the Application Jobs app, per SAP IBP’s job management guides.

Option C: Compare function in the Planning Areas appThis is incorrect. The Planning Areas app manages planning area configurations, and while it has a "Compare" function to analyze differences, planning filters are not applied here. Filters are for runtime data, not configuration comparison.

Option D: Supply chain graph in Supply Chain Network appThis is incorrect. The Supply Chain Network app visualizes the network (e.g., Locations, Transportation Lanes), but planning filters are not directly applied to this graph. Filters affect data views, not network visualizations.

Thus, A and B are the correct objects where planning filters can be applied, per SAP IBP’s official functionality.

SAP IBP provides sample planning areas (e.g., SAPIBP1, SAP3, SAP6) with preconfigured processes to demonstrate module-specific functionality.

SAP6: Focused on Demand Planning and Sensing, enhancing short-term demand forecasts.

SAP3: Focused on Inventory Optimization, managing multi-stage inventory targets.

Option A: SAP6 Control Tower, and SAP3 Sales and Operations Planning and Supply PlanningThis is incorrect. SAP6 is not Control Tower-specific (that’s SAP8), and SAP3 focuses on Inventory Optimization, not broad S&OP or Supply Planning.

Option B: SAP6 Demand Planning and Sensing, and SAP3 Control TowerThis is incorrect. SAP3 is Inventory Optimization, not Control Tower, which is a separate module (SAP8).

Option C: SAP6 Demand Planning and Sensing, and SAP3 Inventory PlanningThis is correct. SAP6 includes Demand Planning (statistical forecasting) and DemandSensing (short-term adjustments), while SAP3 focuses on Inventory Planning (e.g., safety stock optimization), matching their official purposes per SAP IBP’s sample content documentation.

Option D: SAP6 Sales and Operations Planning and Supply Planning, and SAP3 Inventory PlanningThis is incorrect. SAP6 is narrower (Demand Planning/Sensing), not full S&OP or Supply Planning (more aligned with SAPIBP1). SAP3 is correct for Inventory Planning.

Thus, C accurately reflects the processes in SAP6 and SAP3, per SAP IBP’s sample planning area definitions.

MRO parts planning in SAP IBP supports maintenance operations with demand, supply, and inventory processes, per SAP IBP’s supply chain planning scope.

Option A: Inventory OptimizationThis is correct. Inventory Optimization (e.g., safety stock for MRO parts) ensures availability for maintenance, a key MRO process, per SAP IBP’s documentation.

Option B: Demand Driven ReplenishmentThis is incorrect. Demand Driven Replenishment (DDR) is a specific methodology in SAP IBP, but it’s not standard for MRO; it’s more for manufacturing/retail.

Option C: Demand PlanningThis is correct. Demand Planning forecasts MRO parts needs (e.g., based on maintenance schedules), a core process, per SAP IBP’s demand module.

Option D: Supply PlanningThis is correct. Supply Planning ensures MRO parts are sourced and available, using heuristics or optimization, per SAP IBP’s supply planning features.

Option E: SAP Intelligent Asset ManagementThis is incorrect. SAP IAM is a separate solution, not an IBP process, though it can integrate with IBP for MRO planning.

Thus, A, C, and D are MRO processes in SAP IBP, per official documentation.

Planning operators in SAP IBP (via the Application Jobs app) manage data, including deletions. The question likely intends "delete key figure data for planning objects" in a version, not the objects themselves, per SAP IBP’s terminology.

Option A: Purge Master DataThis is incorrect. This deletes master data (e.g., Products), not key figure data tied to planning objects in a version.

Option B: Purge Key Figure Data Outside Planning Area Planning HorizonThis is incorrect. This deletes data outside the horizon across versions, not specific to a version’s planning objects.

Option C: Purge Key Figure DataThis is correct. The Purge Key Figure Data operator deletes key figure values for specified planning objects (e.g., by filter) in a selected version, per SAP IBP’s data management documentation.

Option D: Purge Non-Conforming DataThis is incorrect. This removes inconsistent data (e.g., orphaned records), not targeted deletion in a version.

Thus, C is the correct operator, per SAP IBP’s official job capabilities.

The consistency check in SAP IBP ensures the planning area’s configuration (e.g., time profile, key figures) is valid. Changes to the time profile must maintain structural integrity, as per SAP IBP’sconfiguration rules.

Option A: Add a new time profile level to the time profileThis is incorrect. Adding a new level (e.g., quarter) requires updating key figure planning levels and data, potentially breaking consistency until fully aligned.

Option B: Change the numbering hierarchy of the period IDs in the time profileThis is incorrect. Altering period ID numbering (e.g., PERIODID0 to PERIODID1) disrupts existing data mappings, causing consistency check failures.

Option C: Change the past and future horizon of the level in the time profileThis is correct. Adjusting the horizon (e.g., extending from 12 to 24 months) affects data visibility but not structural consistency, allowing a successful check, per SAP IBP’s time profile documentation.

Option D: Change the description of an attribute in the time profileThis is correct. The description (e.g., "Week" to "Weekly") is metadata and doesn’t impact data integrity, ensuring a successful consistency check, per SAP IBP’s configuration flexibility.

Thus, C and D are safe changes, per SAP IBP’s official consistency check behavior.

Weighted average calculations in SAP IBP (e.g., KF3 = SUM(KF1 * KF2) / SUM(KF2)) use a weight key figure, configured in the Planning Areas app, per SAP IBP’s documentation.

Option A: The numerator of the calculation should be storedThis is incorrect. The numerator (e.g., value * weight) is calculated, not necessarily stored.

Option B: The first parameter of the formula acts as a weightThis is incorrect. The weight is explicitly defined (e.g., KF2), not assumed as the first parameter.

Option C: Attributes can be used in weighted average key figure calculationThis is incorrect. Attributes as key figures provide static values, but weights are typically key figures, not attributes directly.

Option D: The numerator’s value should include multiplication by the weightThis is correct. In a weighted average (e.g., (KF1 * KF2) / SUM(KF2)), the numerator multiplies the value (KF1) by the weight (KF2), a defining feature, per SAP IBP’s calculation rules.

Thus, D is the correct feature, per SAP IBP’s official calculation logic.

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.

SAP IBP for Sales and Operations Planning (S&OP) supports demand, supply, and inventory alignment. Key functions are defined by its modules.

Option A: Allocation planningThis is incorrect. Allocation planning is specific to SAP IBP for Response and Supply (order-based), not the S&OP module, which focuses on time-series planning.

Option B: Simple statistical forecastThis is correct. S&OP includes demand planning with simple statistical forecasts (e.g., moving average, exponential smoothing), a core function, per SAP IBP’s demand documentation.

Option C: Multi-level supply planning heuristicsThis is correct. S&OP supports multi-level supply planning via heuristics (e.g., infinite/finite) to balance supply across the network, a key feature, per SAP IBP’s supply planning guides.

Option D: SAP Product Lifecycle ManagementThis is incorrect. SAP PLM is a separate system, not a function of SAP IBP S&OP, though IBP can integrate with lifecycle data.

Thus, B and C are supported S&OP functions, per SAP IBP’s official scope.

ABC/XYZ segmentation in SAP IBP is a demand planning tool to classify products based on value (ABC, e.g., revenue contribution) and demand variability (XYZ, e.g., forecast accuracy). It’s used to prioritize planning efforts and optimize inventory.

Option A: Substitute missing values in case of sporadic demandsThis is incorrect. ABC/XYZ segmentation classifies products but doesn’t inherently substitute missing values. Sporadic demand handling is managed by demand sensing or specific forecast models, not segmentation itself.

Option B: Choose time-independent key figures as segmentation measuresThis is correct. In SAP IBP, segmentation measures (e.g., sales value for ABC, coefficient of variation for XYZ) can be time-independent key figures (e.g., total annual revenue, average variability). These are configured in the ABC/XYZ Segmentation app, allowing static or dynamic analysis, as per SAP’s demand planning documentation.

Option C: Identify inventory items that require closer attentionThis is correct. ABC classifies high-value items (A) versus low-value (C), while XYZ identifies stable (X) versus erratic (Z) demand. Combining them (e.g., AX = high-value, stable) highlights items needing focus (e.g., AZ = high-value, erratic), aiding inventory and planning prioritization—a core feature of SAP IBP segmentation.

Option D: Use forecasting algorithms that are specific to seasonal demands of SKUs in the segment "B"This is incorrect. ABC/XYZ segmentation doesn’t directly dictate forecasting algorithms or tie them to specific segments like "B" (moderate value). Forecast models (e.g., seasonalARIMA) are configured separately in demand planning, not as a segmentation output.

Thus, B and C reflect SAP IBP’s ABC/XYZ segmentation capabilities per official documentation.