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

In SAP IBP for Sales and Operations Planning (S&OP), the demand planning process follows a logical progression of key figures, as exemplified in the sample planning area SAPIBP1. Thisprogression starts with raw forecast data and ends with an agreed-upon demand plan.

Option A: Local Demand Plan first and Combined Final Demand last"Local Demand Plan" is not a standard key figure in SAPIBP1; it’s a vague term. "Combined Final Demand" is also not a recognized key figure. This option misaligns with the S&OP process flow.

Option B: Statistical Forecast Qty first and Consensus Demand Plan Qty lastThis is correct. In SAPIBP1, the demand process begins withStatistical Forecast Qty(e.g., generated via statistical models like moving average or exponential smoothing), representing the initial unconstrained forecast. The process progresses through adjustments (e.g., manual overrides, market inputs) and collaboration, culminating inConsensus Demand Plan Qty, the final agreed-upon demand plan after S&OP meetings. This reflects SAP IBP’s S&OP workflow: forecast generation → review → consensus.

Option C: Local Demand Plan first and Consensus Demand Plan Qty lastAs noted, "Local Demand Plan" is not a standard key figure in SAPIBP1 or S&OP terminology, making this incorrect despite the valid end point.

Option D: Statistical Forecast Qty first and Global Demand Plan Qty for S&OP lastWhile "Statistical Forecast Qty" is a valid starting point, "Global Demand Plan Qty for S&OP" is not a standard key figure in SAPIBP1. The correct term is "Consensus Demand Plan Qty," which is more specific to the S&OP output.

Thus, B aligns with SAP IBP’s S&OP demand planning progression per SAPIBP1’s standard key figures and official S&OP process documentation.

ABC segmentation in SAP IBP classifies items (e.g., products) based on value or volume, using methods in the ABC/XYZ Segmentation app, per SAP IBP’s demand planning documentation.

Option A: By Number of Items (Sorted Average)This is incorrect. "Sorted Average" is not a standard ABC method; it’s not defined in SAP IBP’s segmentation options.

Option B: By Pareto Principle (Sorted and Cumulated %)This is correct. The Pareto Principle (80/20 rule) sorts items by value (e.g., revenue) and cumulates percentages (e.g., top 20% = A), a standard method, per SAP IBP’s documentation.

Option C: By Number of Items (Sorted Value)This is correct. Sorting by value (e.g., total sales) and assigning classes (A, B, C) based on item count thresholds is a supported ABC method, per SAP IBP’s segmentation features.

Option D: By Pareto Principle (Sorted and Calculated Values)This is incorrect. "Calculated Values" is vague and not a distinct method; B covers the Pareto approach accurately.

Thus, B and C are available ABC methods, per SAP IBP’s official segmentation capabilities.

In SAP IBP, the planning hierarchy includes strategic (long-term), tactical (medium-term), and operational (short-term) levels. Tactical planning (e.g., monthly horizon) focuses on mid-term supply chain decisions.

Option A: Order PrioritizationThis is incorrect. Order prioritization is an operational-level process, typically in SAP IBP for Response and Supply, dealing with short-term order allocation, not tactical planning.

Option B: Stock ReplenishmentThis is incorrect. Stock replenishment is operational, focusing on short-term actions (e.g., daily/weekly restocking), not tactical mid-term planning.

Option C: Inventory Build and ReductionThis is correct. Tactical planning involves decisions like building inventory ahead of demand peaks or reducing excess stock over months, aligning with SAP IBP’s Inventory Optimization and S&OP processes at this level.

Option D: Balancing Supply and DemandThis is correct. Balancing supply and demand over a medium-term horizon (e.g., via S&OP or supply heuristics) is a core tactical process in SAP IBP, ensuring resource alignment, per official planning hierarchy definitions.

Thus, C and D are tactical supply planning processes, per SAP IBP’s planning framework.

Network charts in SAP IBP (via the Supply Chain Network app) visualize supply chain relationships, a feature of the Control Tower module.

Option A: To display the network chart, you need the Ship-From Location master data type in the planning areaThis is incorrect. The Ship-From Location is a concept (e.g., in Transportation Lanes), not a specific master data type requirement. Location and Transportation Lane data suffice.

Option B: You can create a network chart from the dedicated app, or use the Analytics Advanced appThis is correct. The Supply Chain Network app (dedicated) and Analytics Advanced app both support network chart creation, per SAP IBP’s visualization documentation.

Option C: You can create a network chart from the dedicated app, or use the Manage Analytics Stories appThis is incorrect. Manage Analytics Stories creates dashboards, not network charts specifically; it’s less focused on network visualization.

Option D: The network charts visualize relationships between warehouse, plants, customer, and supplier, for finished goodsThis is correct. Network charts depict nodes (e.g., plants, warehouses, customers, suppliers) and edges (e.g., Transportation Lanes) for finished goods, per SAP IBP’s network visualization features.

Thus, B and D are accurate features, per SAP IBP’s official documentation.

In SAP IBP, a planning view (typically created via the Excel add-in) allows planners to visualize and edit data across various time levels defined in the time profile assigned to the planning area. A time profile in SAP IBP consists of multiple hierarchical levels (e.g., day, week, month, quarter, year). The flexibility to select time levels in a planning view is a core feature of SAP IBP’s time-series planning capabilities.

Option A ("Only time levels from the base planning level of selected key figures") is incorrect because planning views are not strictly limited to the base planning level of key figures. The base planning level defines where data is stored, but users can aggregate or disaggregate data across other time levels in the view.

Option C ("All time levels available in the time profile") suggests unrestricted access to all levels, which is partially true but misses a critical nuance. SAP IBP allows flexibility in displaying time levels, but this is governed by system configuration.

Option D ("The number of time levels is restricted to four") is a fabricated limitation not supported by SAP IBP documentation. There’s no hardcoded limit of four time levels; performance depends on system resources and configuration, not a fixed cap.

Option B ("All time levels available in the time profile, restricted by global configuration parameter") is correct. SAP IBP allows users to select any time level from the time profile (e.g., day, week, month) in a planning view, but this is subject to a global configuration parameter, such as the "Planning Horizon" or "Time Profile Level Restrictions," set in the planning area configuration. For example, the "Maximum Number of Time Levels" or similar settings can limit the granularity or range displayed to optimize performance. This aligns with SAP IBP’s design to balance flexibility and system efficiency, as outlined in SAP’s official documentation on planning views and time profiles.

Application jobs in SAP IBP (via the Application Jobs app) automate tasks, and some allow planning filters to limit their scope.

Option A: Purge Master DataThis is correct. The Purge Master Data job accepts planning filters (e.g., specific Products or Locations) to selectively delete master data, per SAP IBP’s job documentation.

Option B: Purge Key Figure DataThis is correct. The Purge Key Figure Data job uses planning filters to target specific keyfigure data (e.g., by Region), a standard feature, per SAP IBP’s data management guides.

Option C: Purge Non-Conforming DataThis is incorrect. This job removes inconsistent data (e.g., orphaned records), but it doesn’t use planning filters as parameters; it’s system-driven.

Option D: Create Time Periods for Time ProfilesThis is incorrect. This job generates time periods for a time profile and doesn’t involve planning filters, which apply to planning objects, not time setup.

Thus, A and B support planning filters, per SAP IBP’s official job capabilities.

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.

Errors for missing combinations in SAP IBP Excel occur when key figure data references non-existent planning objects (e.g., Product-Location pairs), per SAP IBP’s documentation.

Option A: Use the Data Integration app to upload the missing combinationsThis is correct. The Data Integration Jobs app can import new planning object combinations (e.g., via CSV), resolving the error, per SAP IBP’s data management guides.

Option B: Use the Manage Master Data app to create missing combinationsThis is incorrect. The Manage Master Data app edits existing master data, not compound combinations directly for planning objects.

Option C: Use the function New Planning Object in Excel UI to create missing combinationThis is correct. The "New Planning Object" feature in the Excel add-in creates missing combinations (e.g., PERPRODLOC) on the fly, per SAP IBP’s Excel capabilities.

Option D: Use the Copy Operator to create the missing combinationsThis is incorrect. The Copy Operator transfers key figure data, not creates new planning object combinations.

Thus, A and C resolve the issue, per SAP IBP’s official tools and processes.

SAP IBP for Response and Supply includes time-series-based planning (e.g., heuristics, optimization) alongside order-based planning. Time-series planning relies on master data types to define the supply chain network and planning objects.

Option A: DS Order FulfillmentThis is incorrect. "DS Order Fulfillment" is not a standard master data type in SAP IBP. Order fulfillment is an outcome of response planning (order-based), not a time-series master data type.

Option B: Transportation LaneThis is incorrect in this context. While Transportation Lane is a master data type in SAP IBP, it is primarily used in supply planning (e.g., defining sourcing relationships). However, in the specific scope of "time-series-based planning within SAP IBP for response and supply," it’s less prominent, as response planning often emphasizes order-based logic over time-series constraints like lanes. The correct answers focus on foundational master data.

Option C: CustomerThis is correct. The Customer master data type (e.g., Customer ID) is essential in time-series planning to model demand at the customer level (e.g., in Sales and Operations Planning or supply planning). It’s a core component of planning levels like PERPRODCUST.

Option D: LocationThis is correct. The Location master data type (e.g., Plant, Warehouse) defines nodes in the supply chain network. Time-series planning uses locations to calculate supply, inventory, and transportation quantities across the planning horizon.

Option E: ProductThis is correct. The Product master data type (e.g., Product ID) is fundamental to time-series planning, representing the items being planned. It’s used in key figures like production quantities or demand forecasts.

Thus, C, D, and E (Customer, Location, Product) are core master data types in SAP IBP’s time-series-based planning for response and supply, as per official documentation on planning area setup.

SAP IBP for Response and Supply focuses on order-based planning and short-term supply optimization, per its official module documentation.

Option A: Gating FactorThis is correct. Gating factors (e.g., capacity constraints driving supply decisions) are analyzed in response planning to prioritize orders, a key capability, per SAP IBP’s documentation.

Option B: Analyze Supply UsageThis is correct. Analyzing supply usage (e.g., allocation of supply to demand) is a core feature in response and supply, supported by tools like the Supply Usage app, per SAP IBP’s guides.

Option C: Detailed Production SchedulingThis is incorrect. Detailed scheduling is handled by SAP PP/DS or external systems, not IBP Response and Supply, which focuses on higher-level planning.

Option D: Calculating Buffer ProposalsThis is incorrect. Buffer proposals are part of Demand-Driven Replenishment (DDR), a separate IBP feature, not Response and Supply.

Thus, A and B are included capabilities, per SAP IBP’s official Response and Supply scope.