C_IBP_2502 Sample Questions Answers

In SAP IBP, a stored key figure with "not editable" status means users cannot manually edit it in planning views (e.g., Excel). However, values can still be updated via system processes, as per SAP IBP’s data management rules.

Option A: Importing the key figure data files using the Web UIThis is correct. Users can import data files (e.g., CSV) via the Data Integration app in the Web UI, overwriting "not editable" key figure values, a standard method, per SAP IBP’s import documentation.

Option B: Using the key figure calculations in the Web UIThis is incorrect. The Web UI (e.g., Planner Workspaces) doesn’t support direct key figure calculations; calculations are configured in the Planning Areas app or executed via jobs, not user-driven in the UI.

Option C: Using planning object maintenance with key figure data in Excel UIThis is correct. The Excel add-in’s "Manage Planning Objects" feature allows users to update key figure values for specific combinations, bypassing the "not editable" restriction, per SAP IBP’s Excel capabilities.

Option D: Managing the master data via the Web UIThis is incorrect. Master data management (e.g., via Manage Master Data app) updates attributes, not stored key figure values directly.

Thus, A and C are valid methods to modify "not editable" key figures, per SAP IBP’s officialfunctionality.

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.

The Check Mode algorithm in SAP IBP validates planning area consistency, focusing on master data and key figure integrity, as per SAP IBP’s configuration documentation.

Option A: It checks whether the location products specified in the master data are connected by customer sourcing rules within the supply chain networkThis is correct. Check Mode ensures Location-Product combinations are linked via sourcing rules (e.g., SOURCECUSTOMER), validating network connectivity.

Option B: It reports input key figures for which no related master data existsThis is incorrect. While important, this is a data load check, not a core Check Mode function, which focuses on structural consistency.

Option C: It checks whether the location resource specified in the master data forms a cycle in the supply chain networkThis is incorrect. Location resources (e.g., capacity) don’t form cycles; cycles involve sourcing relationships, not resources.

Option D: It checks whether the heuristic detects cycles formed by nodes (such as location products) in the supply chain networkThis is correct. Check Mode identifies cycles (e.g., A → B → A) in Location-Product sourcing, ensuring heuristic feasibility, per SAP IBP’s documentation.

Option E: It checks whether the sourcing in the Production Source Item master datatype existsThis is correct. It verifies that Production Source Items have valid sourcing definitions, a key consistency check, per SAP IBP’s supply planning rules.

Thus, A, D, and E are triggered by Check Mode, per SAP IBP’s official validation scope.

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.

Planner Workspaces in SAP IBP is a Fiori-based UI that integrates planning tools, analytics, and workflows, enhancing planner productivity. Its value drivers are outlined in SAP IBP’s UI documentation.

Option A: Issues can be identified and solved with special functionsThis is correct. Alerts and playbooks in Planner Workspaces help identify and resolve issues (e.g., supply shortages), a key value driver, per SAP IBP’s features.

Option B: It combines various components into one user interfaceThis is correct. It integrates planning views, charts, and alerts into a single UI, streamlining workflows, a core benefit, per SAP IBP’s documentation.

Option C: It can trigger SAP S/4HANA transactions in real timeThis is incorrect. Planner Workspaces focuses on IBP planning, not real-time S/4HANA transaction execution, which requires integration tools like CI-DS.

Option D: It combines the data from multiple planning areas into one user interfaceThis is incorrect. It operates within one planning area; combining multiple areas requires separate configurations or views, not a native feature.

Option E: Application jobs can be started from this user interfaceThis is correct. Planners can trigger jobs (e.g., Copy Operator) directly from Planner Workspaces, enhancing efficiency, per SAP IBP’s UI capabilities.

Thus, A, B, and E are value drivers, per SAP IBP’s official Planner Workspaces description.

A successful consistency check in SAP IBP ensures the planning area’s configuration is valid, per SAP IBP’s documentation.

Option A: Configure at least one calculated key figure for the planning areaThis is incorrect. Calculated key figures are optional; a planning area can function with only stored key figures.

Option B: Specify a planning horizon in the planning area for each level of the assigned time profileThis is correct. The planning horizon (e.g., past/future periods) must align with the time profile levels (e.g., week, month) for data consistency, a prerequisite, per SAP IBP’s setup.

Option C: Configure at most two input key figures on the same planning level in a key figure calculationThis is incorrect. There’s no such limit; calculations can use multiple inputs, depending on complexity.

Option D: Assign the compound master data type and its component master data typesThis is correct. Compound types (e.g., SOURCECUSTOMER) and their components (e.g., Customer, Location) must be assigned for network consistency, per SAP IBP’s documentation.

Thus, B and D are prerequisites, per SAP IBP’s official consistency check requirements.

Rolling aggregation in SAP IBP refers to calculating a cumulative or moving total across a time horizon (e.g., year-to-date sales). This is a common requirement in planning and reporting, achieved through specific configuration methods.

Option A: Using an attribute as a key figureThis is incorrect. Attributes as key figures provide static values (e.g., Product Category), not dynamic time-based aggregations like rolling totals.

Option B: Using an appropriate period weight factorThis is incorrect. Period weight factors adjust proportional disaggregation (e.g., splitting monthly data to weeks), not rolling aggregation across periods.

Option C: Using a key figure calculationThis is correct. Rolling aggregation is achieved in SAP IBP via key figure calculations, such as the CUMULATE function (e.g., KF2 = CUMULATE(KF1)), which sums values from the start of the horizon to the current period. This is configured in the Planning Areas app and is a standard method for time-series calculations, per SAP IBP’s official documentation on key figure calculations.

Option D: Using a local memberThis is incorrect. Local members in the Excel add-in allow ad-hoc calculations within a planning view, but they are user-specific and not a system-configured method for rolling aggregation across the planning area.

Thus, C is the correct method for achieving rolling aggregation, aligning with SAP IBP’s calculation 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.

Manual adjustments to an S&OP plan in SAP IBP involve editing key figures, supported by specific UIs, per SAP IBP’s S&OP documentation.

Option A: Leveraging the web-based planning capabilityThis is correct. The Planner Workspaces app (web-based) allows manual adjustments to key figures (e.g., demand plans), a standard feature, per SAP IBP’s UI capabilities.

Option B: Leveraging the functionality of SAP Work ZoneThis is incorrect. SAP Work Zone is a collaboration platform, not a planning tool for S&OP adjustments in IBP.

Option C: Using Microsoft Excel planning viewsThis is correct. The Excel add-in’s planning views are the primary interface for manual S&OP adjustments (e.g., editing Consensus Demand), per SAP IBP’s documentation.

Option D: Using Driver-Based PlanningThis is incorrect. Driver-Based Planning is a methodology (e.g., linking demand to drivers), not a direct manual adjustment method.

Thus, A and C are valid ways, per SAP IBP’s official planning interfaces.

SAP IBP for Demand enhances demand planning with advanced features, per SAP IBP’s demand module documentation.

Option A: Automated, exception-based processingThis is correct. Automated forecasting with exception handling (e.g., alerts for outliers) is a core capability, per SAP IBP’s demand planning features.

Option B: Statistical analysis using the predictive analytics toolsThis is incorrect. Predictive analytics (e.g., machine learning) is available via SAP HANA integration, not a native IBP Demand tool.

Option C: Determination of coefficient of variation (CV)This is correct. CV (variability measure) is calculated in ABC/XYZ segmentation and demand analysis, a standard feature, per SAP IBP’s documentation.

Option D: Classifying demand into zonesThis is incorrect. "Zones" is not a standard demand classification in SAP IBP; ABC/XYZ segmentation is used instead.

Option E: Embedded, on-the-fly demand analyticsThis is correct. Real-time analytics (e.g., in Excel or Planner Workspaces) provide instant demand insights, per SAP IBP’s demand capabilities.

Thus, A, C, and E are key capabilities, per SAP IBP’s official demand planning scope.

Helper key figures in SAP IBP are intermediate calculated key figures that simplify complex logic, per SAP IBP’s calculation documentation.

Option A: Used to break down a large calculation into manageable subcalculationsThis is correct. Helper key figures split complex formulas (e.g., multi-step demand adjustments) into smaller, reusable parts, a primary use case, per SAP IBP’s guides.

Option B: Used by end-users in planning views to help visualize cross-period calculationsThis is incorrect. Helper key figures are backend tools, not typically exposed for visualization; local members serve that purpose in views.

Option C: Used at any level of calculation level except the Request LevelThis is incorrect. Helper key figures can be used at any level, including Request Level, depending on configuration.

Option D: Used when you have more than three inputs at different planning levels in one calculationThis is correct. They manage complexity when combining multiple inputs (e.g., from PERPROD and PERPRODLOC), a common scenario, per SAP IBP’s documentation.

Thus, A and D are relevant use cases, per SAP IBP’s official helper key figure roles.

Master data maintenance in SAP IBP involves creating and updating planning objects (e.g., Products, Locations), supported by specific tools, per SAP IBP’s documentation.

Option A: The SAP IBP, add-in for Microsoft ExcelThis is correct. The Excel add-in’s "Manage Planning Objects" feature allows master data maintenance, per SAP IBP’s UI capabilities.

Option B: The Manage Master Data appThis is correct. This Fiori app is designed for direct master data management (e.g., editing Locations), per SAP IBP’s documentation.

Option C: The Planner Workspaces appThis is incorrect. Planner Workspaces is for planning and visualization, not master data maintenance.

Option D: The Planning Areas Model Configuration appThis is incorrect. This app configures planning areas, not master data directly.

Option E: The Data Integration Jobs appThis is correct. This app (formerly Data Integration) imports master data via files or integration, per SAP IBP’s data management guides.

Thus, A, B, and E are maintenance options, per SAP IBP’s official tools.

In SAP IBP, master data types are classified as simple (standalone) or compound (combining multiple simple types). Compound master data types link related entities (e.g., source and target) and are critical for supply and inventory planning to define relationships.

Option A: SOURCEPRODUCTIONThis is incorrect. SOURCEPRODUCTION is not a standard compound master data type in SAP IBP. Production relationships are modeled via Production Source of Supply (e.g., Production Source Header/Item), not a compound type named SOURCEPRODUCTION.

Option B: SOURCECUSTOMERThis is correct. SOURCECUSTOMER is a compound master data type combining Source ID (e.g., Location or Product) and Customer ID. It defines sourcing relationships (e.g., which customers are served from which sources) and is used in supply and inventory planning to allocate demand.

Option C: SOURCELOCATIONThis is correct. SOURCELOCATION is a compound master data type linking Source Location and Target Location (e.g., via Transportation Lane). It’s essential for modeling supply chain networks in inventory and supply planning.

Option D: SOURCECUSTGROUPThis is incorrect. There’s no standard compound master data type called SOURCECUSTGROUP in SAP IBP. Customer groups might be attributes, but they don’t form a compound type.

Thus, B and C (SOURCECUSTOMER, SOURCELOCATION) are compound master data types inSAP IBP, as per official master data configuration 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.

SAP IBP for Sales and Operations Planning (S&OP) unifies demand, supply, and inventory processes, with key data reviewed in the S&OP cycle, per SAP IBP’s S&OP documentation.

Option A: Global Demand PlanThis is incorrect. "Global Demand Plan" is not a standard term in SAP IBP S&OP; it’s typically "Consensus Demand Plan" after collaboration.

Option B: Constrained Demand PlanThis is incorrect. Constrained demand is more relevant to supply planning or response, not the unified S&OP review process.

Option C: Inventory PlanThis is correct. The Inventory Plan (e.g., safety stock, target inventory) is reviewed in S&OP to ensure alignment with demand and supply, a key unified process, per SAP IBP’s documentation.

Option D: Consensus Demand PlanThis is correct. The Consensus Demand Plan, finalized after S&OP collaboration, is a central data point reviewed to balance supply and inventory, per SAP IBP’s S&OP workflow.

Thus, C and D are commonly reviewed in S&OP, per SAP IBP’s official processes.

SAP IBP supports multiple tenants (e.g., development, test, production), and users may need to distinguish between them when working in parallel sessions, typically via the Fiori-based Web UI. Customization of the UI is a key feature to enhance usability.

Option A: Define a different default planning area via the User PreferencesThis is incorrect. While users can set a default planning area in their preferences, this affects functionality (e.g., which planning area loads first), not the visual appearance of the UI. It doesn’t help differentiate tenants visually.

Option B: Have a different set of tiles in the Home group of appsThis is correct. In the SAP IBP Fiori launchpad, the Home page displays app tiles (e.g., Planner Workspaces, Manage Analytics Stories). Administrators or users with appropriate roles can customize the tile layout per tenant, creating distinct sets of tiles. This visual difference helps users identify which tenant they’re in, as per SAP IBP’s Fiori UI customization options.

Option C: Set a separate theme for the Home page in the Web UIThis is correct. SAP Fiori supports theming (e.g., colors, logos) via the UI Theme Designer or tenant-specific settings. By applying a unique theme to each tenant’s Web UI, users can visually distinguish them. This is a standard SAP capability leveraged in IBP to enhance user experience.

Option D: Add the system name and tenant information from the About section to the Home pagesThis is incorrect. The "About" section provides system details (e.g., tenant ID), but there’s no standard feature to dynamically display this on the Home page as a customizable UI element. Manual workarounds (e.g., custom tiles) are possible but not a native option.

Thus, B and C are practical, supported methods to differentiate tenant UIs in SAP IBP’s Webinterface.

Units of Measure (UOM) in SAP IBP allow data to be displayed and edited in different units (e.g., kg, lbs), configured via master data and UI settings, per SAP IBP’s documentation.

Option A: Analytics allow the user to select the target unit of measureThis is correct. Analytics apps (e.g., Advanced Dashboards) and Excel planning views let users choose the target UOM for display, leveraging conversion factors, per SAP IBP’s visualization capabilities.

Option B: Units of measure are usually not time-independentThis is incorrect. UOMs are typically static (time-independent) unless explicitly modeled as time-dependent (rare), making this a misstatement.

Option C: Units of measure are an attribute of a master data type, such as ProductThis is correct. UOM (e.g., Base UOM) is an attribute of the Product master data type, with conversion factors defined in UOM Conversion master data, per SAP IBP’s setup.

Option D: Units of measure are usually not time-dependentThis is correct. UOMs are generally static attributes, not varying by time unless custom-configured, aligning with SAP IBP’s standard behavior.

Option E: Conversion to the target unit of measure is handled by the SAP IBP Excel add-inThis is incorrect. While the Excel add-in displays converted values, the conversion logic is defined in the planning area (via UOM Conversion factors), not handled solely by the add-in.

Thus, A, C, and D are key considerations, per SAP IBP’s official UOM handling.

SAP IBP’s system landscape defines how development, testing, and production environments are structured. Best practices align with SAP’s implementation methodology (e.g., SAP Activate).

Option A: Set up a two-tier landscape and have the configuration for the development system regularly updated from the production systemThis is incorrect. A two-tier landscape (e.g., development and production) is possible but updating development from production reverses the standard flow (development → production). This risks overwriting development work and isn’t a recommended approach.

Option B: Create additional planning areas in the test system to support training needsThis is correct. Planning areas in SAP IBP are tenant-specific configurations. Creating additional planning areas in the test system (e.g., for sandboxing or training) is a practical approach to simulate scenarios without affecting production, as supported by SAP IBP’s flexible architecture.

Option C: Create additional test planning areas in the production system to support cutover needsThis is incorrect. Adding test planning areas in production risks data integrity and performance during cutover. Testing should occur in a separate environment, not production.

Option D: Set up a three-tier landscape using transport, starting from the development system to test and productionThis is correct. A three-tier landscape (development → test → production) with transport mechanisms (e.g., configuration packages) is SAP IBP’s standard architecture. It ensures controlled deployment, testing, and go-live, per SAP’s implementation guidelines.

Thus, B and D are valid system landscape approaches in SAP IBP, reflecting practical and standard deployment strategies.

Versions in SAP IBP (e.g., baseline, scenario) allow what-if planning, with configurators managing data across them, per SAP IBP’s version management documentation.

Option A: Delete key figure data for a date range for all versions at onceThis is incorrect. Purge jobs delete data per version, not across all versions simultaneously in one action.

Option B: Copy key figure data from any version to any versionThis is correct. The Copy Operator can transfer key figure data between any versions (e.g., baseline to scenario), a standard feature, per SAP IBP’s documentation.

Option C: Copy master data from base version to other versionThis is correct. Master data can be copied from the base version to other versions via the Manage Versions app or data integration, per SAP IBP’s version setup.

Option D: Run an application job to purge obsolete versionsThis is incorrect. Versions are managed manually or via expiration, but there’s no specific job to "purge obsolete versions"; data purging is separate.

Thus, B and C are valid actions, per SAP IBP’s official version capabilities.

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.

The Advanced Analytics app in SAP IBP allows users to create and customize charts for insights, with specific interactive features.

Option A: Trigger export to Manage Analytics StoriesThis is incorrect. Charts are exported from Manage Analytics Stories, not Advanced Analytics directly; the flow is reversed.

Option B: Merge charts togetherThis is incorrect. Merging charts isn’t a feature in Advanced Analytics; it supports individual chart creation.

Option C: Apply filters on the dataThis is correct. Users can apply filters (e.g., by Product, Time) to refine chart data, a core feature, per SAP IBP’s analytics documentation.

Option D: Group dataThis is correct. Grouping (e.g., by Region) aggregates data in charts, a standard capability, per SAP IBP’s Advanced Analytics guides.

Thus, C and D are actions in Advanced Analytics, per SAP IBP’s official functionality.