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最新のC-IBP-2502学習ガイド2026年最新の- 提供するのはテストエンジンとPDF [Q14-Q34]

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最新のC-IBP-2502学習ガイド2026年最新の- 提供するのはテストエンジンとPDF

最新版を今すぐ試そうC-IBP-2502練習テスト問題解答が待ってます

質問 # 14
You are invited to review a problem with a customer's SAP IBP Excel template performance. What areas with the biggest potential performance impact would you focus on? Note: There are 2 correct answers to this question.

  • A. Complex calculation graphs for key figures
  • B. Number of local members and complexity of calculation
  • C. Number of analytics charts displaying key figures' values
  • D. Excessive SAP IBP formatting in the Microsoft Excel UI

正解：A、D

解説：
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.


質問 # 15
Which unified planning processes' data is commonly reviewed in SAP IBP for sales and operations? Note:
There are 2 correct answers to this question.

  • A. Constrained Demand Plan
  • B. Inventory Plan
  • C. Consensus Demand Plan
  • D. Global Demand Plan

正解：B、C

解説：
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.


質問 # 16
Which of the following are features of lag-based snapshots? Note: There are 2 correct answers to this question.

  • A. The number of lag-based snapshots are limited to nine levels
  • B. Target key figures for these snapshots must have lag as a root attribute in the base planning level
  • C. Lag-based snapshots are created in the Configuration app for a fixed time range
  • D. Target key figures for these snapshots are exposed to the user in planning view

正解：B、D

解説：
Lag-based snapshots in SAP IBP capture historical key figure values with a specified time offset (lag), useful for tracking past data (e.g., demand from 3 weeks ago). Their configuration and behavior are defined in SAP IBP's time-series planning framework.
* Option A: The number of lag-based snapshots are limited to nine levelsThis is incorrect. There's no documented limit of nine snapshots in SAP IBP; the number depends on configuration and performance, not a fixed cap.
* Option B: Lag-based snapshots are created in the Configuration app for a fixed time rangeThis is incorrect. Snapshots are configured in the Planning Areas app (via key figure settings), not a generic
"Configuration app," and they dynamically adjust based on lag, not afixed range.
* Option C: Target key figures for these snapshots are exposed to the user in planning viewThis is correct. Lag-based snapshot key figures (e.g., SNAPSHOT_LAG1) are visible and usable in planning views (e.g., Excel), allowing users to analyze historical data, per SAP IBP's documentation.
* Option D: Target key figures for these snapshots must have lag as a root attribute in the base planning levelThis is correct. The lag attribute (e.g., LAG = 1, 2) must be part of the base planning level (e.g., PERPRODLOCLAG) to store snapshot values distinctly, a requirement in SAP IBP's snapshot setup, per official guides.
Thus, C and D are features of lag-based snapshots, per SAP IBP's official functionality.


質問 # 17
Which SAP IBP planning operator can be run to delete planning objects in a certain version?

  • A. Purge Non-Conforming Data
  • B. Purge Key Figure Data
  • C. Purge Master Data
  • D. Purge Key Figure Data Outside Planning Area Planning Horizon

正解：B

解説：
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.


質問 # 18
A company only purchases a license for the SAP IBP S&OP module and wants to maximize the use of its standard functionality. What processes will they be able to cover? Note: There are 3 correct answers to this question.

  • A. Conduct Sales and Operations Planning meetings with cross-functional representatives
  • B. Build what-if scenarios for breaching supply-demand gaps
  • C. Prepare versions of S&OP plan based on different optimizer modeling costs
  • D. Review critical resources against demand
  • E. Get system-solving recommendations on how to react to production bottlenecks

正解：A、B、C

解説：
The SAP IBP S&OP module focuses on demand, supply, and inventory alignment using time-series planning, per its standard functionality documentation.
* Option A: Review critical resources against demandThis is incorrect. Resource capacity planning (e.
g., finite scheduling) is part of Supply or Response modules, not standard S&OP, which uses infinite heuristics by default.
* Option B: Conduct Sales and Operations Planning meetings with cross-functional representatives This is correct. Facilitating S&OP meetings to align demand and supply (e.g., via Consensus Demand Plan) is a core S&OP process, per SAP IBP's documentation.
* Option C: Build what-if scenarios for breaching supply-demand gapsThis is correct. What-if analysis using versions/scenarios (e.g., adjusting supply plans) is standard in S&OP, per SAP IBP's capabilities.
* Option D: Prepare versions of S&OP plan based on different optimizer modeling costsThis is correct. The S&OP optimizer can model cost-based scenarios (e.g., varying non-delivery costs), a standard feature, per SAP IBP's documentation.
* Option E: Get system-solving recommendations on how to react to production bottlenecksThis is incorrect. Detailed bottleneck resolution is part of Response or finite planning, not standard S&OP functionality.
Thus, B, C, and D are covered by S&OP, per SAP IBP's official module scope.


質問 # 19
What is an example of a commonly used time-independent key figure?

  • A. A special key figure marked as an aggregate key figure (aggregate constraint)
  • B. A unit of measure key figure, such as UoM Conversion Factor
  • C. Any attribute as a key figure
  • D. A currency conversion key figure, such as Exchange Rate

正解：C

解説：
In SAP IBP, key figures can be time-dependent (e.g., forecast quantities over weeks) or time-independent (static values not tied to time periods). Time-independent key figures are often used for constants or attributes in planning calculations.
* Option A: A special key figure marked as an aggregate key figure (aggregate constraint)This is incorrect. Aggregate key figures (e.g., summing demand across products) are typically time-dependent, as they reflect data over a planning horizon, not static values.
* Option B: A unit of measure key figure, such as UoM Conversion FactorThis is incorrect in this context. While UoM Conversion Factor is time-independent (e.g., 1 kg = 1000 g), it's technically a master data attribute, not a key figure in SAP IBP's standard terminology. Key figures are editable or calculated, whereas UoM factors are static settings.
* Option C: Any attribute as a key figureThis is correct. In SAP IBP, attributes (e.g., Product Category, Customer Priority) can be configured as time-independent key figures via the "Attribute as Key Figure" feature. For example, a Product's "Safety Stock Target" could be a static key figure used across all periods, a common practice in supply planning, as per SAP IBP's configuration options.
* Option D: A currency conversion key figure, such as Exchange RateThis is incorrect. Exchange rates can vary over time (e.g., monthly rates), making them time-dependent in most cases. Even if static, they're typically master data or external inputs, not a "commonly used" key figure example in SAP IBP.
Thus, C is the best example of a commonly used time-independent key figure, aligning with SAP IBP's flexibility to model attributes as static key figures.


質問 # 20
Analytics charts are created by the user in the Advanced Analytics application. What can the user do in the Advanced Analytics app? Note: There are 2 correct answers to this question.

  • A. Trigger export to Manage Analytics Stories
  • B. Group data
  • C. Merge charts together
  • D. Apply filters on the data

正解：B、D

解説：
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.


質問 # 21
Which processes are running in sample planning areas SAP6 and SAP3?(Choose three)

  • A. Supply and Allocation Planning
  • B. Demand Sensing
  • C. Sales and Operations Planning
  • D. Inventory Optimization

正解：B、C、D

解説：
SAP IBP provides sample planning areas (e.g., SAPIBP1, SAP3, SAP6) with preconfigured processes to demonstrate functionality. The question seems incomplete ("running in sampl to this question"), but based on standard SAP naming and context, it likely asks about processes in SAP6 and SAP3.
* SAP6: Focused on Demand Planning and Sensing.
* SAP3: Focused on Inventory Optimization.
* Both may overlap with broader S&OP processes.
* Option A: Supply and Allocation PlanningThis is incorrect. Supply and Allocation Planning is typically in SAPIBP1 or SAP4 (response-focused), not SAP6 (demand-centric) or SAP3 (inventory- centric).
* Option B: Inventory OptimizationThis is correct. SAP3 is the sample planning area for Inventory Optimization, supporting multi-stage inventory planning with key figures like Target Inventory and Safety Stock, as per SAP's official sample content.
* Option C: Demand SensingThis is correct. SAP6 includes Demand Sensing, enhancing short-term forecasts using pattern recognition and real-time data (e.g., sales orders), a key feature of SAP IBP's demand module.
* Option D: Sales and Operations PlanningThis is correct. Both SAP6 and SAP3 support elements of S&OP. SAP6 covers demand planning (an S&OP component), while SAP3's inventory planning integrates with S&OP's supply-demand balancing, as seen in SAPIBP1's broader S&OP scope.
Thus, B, C, and D match the processes in SAP6 (Demand Sensing, S&OP) and SAP3 (Inventory Optimization, S&OP), per SAP's sample planning area documentation. (Note: The original answer B, D, E seems to misinterpret E as present; corrected to B, C, D based on SAP6/SAP3 focus.)


質問 # 22
You are setting up planning with lot sizes. What are some of the properties of lot sizes that you need to be aware of? Note: There are 2 correct answers to this question.

  • A. Lot sizes are applicable for production and handling quantities
  • B. Lot sizes are applicable for production and transportation quantities
  • C. Periodic lot size setting overrides the minimum lot size
  • D. Lot sizes are time-independent master data settings

正解：B、D

解説：
Lot sizes in SAP IBP are critical for supply planning, defining the minimum or fixed quantities for production or transportation to optimize resource use and costs. They are typically configured as master data attributes in planning areas supporting time-series-based supply planning.
* Option A: Lot sizes are applicable for production and handling quantitiesThis is misleading. In SAP IBP, lot sizes apply to production (e.g., Production Source of Supply) and transportation (e.g., Transportation Lane), but "handling quantities" is not a standard term in SAP IBP's supply planning context. Handling might imply warehouse operations, which are out of scope for lot size settings.
* Option B: Periodic lot size setting overrides the minimum lot sizeThis is incorrect. SAP IBP does not define "periodic lot size" as overriding minimum lot size in its standard configuration. Minimum lot size (e.g., Minimum Production Lot Size) is a fixed constraint enforced by the supply planning heuristic or optimizer, and periodic settings (e.g., planning frequency) do not override it.
* Option C: Lot sizes are time-independent master data settingsThis is correct. In SAP IBP, lot sizes (e.g., Minimum Lot Size, Maximum Lot Size) are defined as attributes of master data types like Production Source of Supply or Transportation Lane. These are static, time-independent values unless explicitly modeled as time-dependent key figures, which is not the default behavior. This aligns with SAP IBP's master data framework.
* Option D: Lot sizes are applicable for production and transportation quantitiesThis is correct.
SAP IBP's supply planning supports lot sizes for both production (e.g., via Production Source Header) and transportation (e.g., via Transportation Lane). For example, a minimum lot size ensures that production runs or shipments meet a threshold, optimizing efficiency, as per SAP IBP's supply planning documentation.
Thus, C and D accurately reflect SAP IBP's lot size properties, emphasizing their role as time-independent master data affecting production and transportation.


質問 # 23
What is a prerequisite for modeling outsourced manufacturers with production capacity using the Supply Optimizer?

  • A. Model target inventory and stocks at the outsourced manufacturing location
  • B. Model relative production costs across internal locations and outsourced manufacturing locations
  • C. Ensure that the outsourced manufacturing locations have a separate subnetwork
  • D. Use production lead times and offsets to manage components at the outsourced manufacturing location

正解：B

解説：
The Supply Optimizer in SAP IBP models outsourced manufacturers as Locations with production capacity, optimizing costs across the network, per SAP IBP's supply planning documentation.
* Option A: Model relative production costs across internal locations and outsourced manufacturing locationsThis is correct. The optimizer requires cost data (e.g., production costs per unit) for internal and outsourced locations to decide where to produce, a key prerequisite, per SAP IBP' s cost optimization rules.
* Option B: Use production lead times and offsets to manage components at the outsourced manufacturing locationThis is incorrect. Lead times and offsets are used, but they're not a prerequisite specific to capacity modeling; they're general planning inputs.
* Option C: Ensure that the outsourced manufacturing locations have a separate subnetworkThis is incorrect. Subnetworks optimize runtime, but they're not required for modeling outsourced capacity; the optimizer works across one network.
* Option D: Model target inventory and stocks at the outsourced manufacturing locationThis is incorrect. Inventory targets are optional and not a prerequisite for capacity modeling in the optimizer.
Thus, A is the prerequisite, per SAP IBP's official optimizer requirements.


質問 # 24
You configured a stored key figure with an editability setting of "not editable." How can users modify the values of that key figure? Note: There are 2 correct answers to this question.

  • A. Importing the key figure data files using the Web UI
  • B. Using the key figure calculations in the Web UI
  • C. Using planning object maintenance with key figure data in Excel UI
  • D. Managing the master data via the Web UI

正解：A、C

解説：
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.


質問 # 25
Which sourcing methods are required to identify the product flow through the network? Note: There are 3 correct answers to this question.

  • A. Unspecified Sourcing
  • B. Sourcing via Costs
  • C. Sourcing via Demand Prioritization
  • D. Sourcing via Production
  • E. Customer Sourcing Rule

正解：B、D、E

解説：
Sourcing methods in SAP IBP define how products flow through the supply chain network, configured via master data (e.g., Production Source, Transportation Lane).
* Option A: Sourcing via ProductionThis is correct. Production sourcing (via Production Source of Supply) defines product flow from manufacturing locations, a core method, per SAP IBP's supply planning documentation.
* Option B: Sourcing via Demand PrioritizationThis is incorrect. Demand prioritization affects allocation, not the physical flow definition.
* Option C: Unspecified SourcingThis is incorrect. "Unspecified Sourcing" is not a standard method; sourcing must be explicitly defined.
* Option D: Customer Sourcing RuleThis is correct. Customer sourcing rules (via SOURCECUSTOMER) specify which locations supply customers, defining flow, per SAP IBP's network setup.
* Option E: Sourcing via CostsThis is correct. Cost-based sourcing (e.g., via Transportation Lane costs) determines optimal flow in optimization, per SAP IBP's optimizer documentation.
Thus, A, D, and E identify product flow, per SAP IBP's official sourcing methods. (Note: Original had C typo; corrected to D.)


質問 # 26
Which of the following data can be tracked using a change-history-enabled key figure? Note: There are 3 correct answers to this question.

  • A. Attributes
  • B. Modified code
  • C. Reason code
  • D. Scenario ID
  • E. Key figure type

正解：A、B、C

解説：
Change-history-enabled key figures in SAP IBP track modifications to values, logging details for auditability, configured in the Planning Areas app. The tracked data is defined by SAP IBP's change history functionality, per official documentation.
* Option A: Scenario IDThis is incorrect. Scenario ID identifies the planning scenario, but it's not tracked in key figure change history; it's a context, not a change detail.
* Option B: Modified codeThis is correct. "Modified code" (likely intended as "modification code" or user ID) tracks who made the change, a standard field in SAP IBP's change log.
* Option C: AttributesThis is correct. Changed attribute values (e.g., Product ID, Location ID) tied to the key figure's planning level are tracked, per SAP IBP's documentation.
* Option D: Key figure typeThis is incorrect. Key figure type (e.g., stored, calculated) is a configuration setting, not a dynamic value tracked in change history.
* Option E: Reason codeThis is correct. Reason codes (e.g., manual adjustment justification) can be logged with changes, a feature in SAP IBP's Excel UI and change history, per official guides.
Thus, B, C, and E are tracked data elements, per SAP IBP's change history capabilities.


質問 # 27
What are some of the actions configurators can do when working with versions? Note: There are 2 correct answers to this question.

  • A. Run an application job to purge obsolete versions
  • B. Delete key figure data for a date range for all versions at once
  • C. Copy master data from base version to other version
  • D. Copy key figure data from any version to any version

正解：C、D

解説：
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.


質問 # 28
Which Maintenance, Repair, and Overhaul (MRO) parts planning processes are included in SAP Integrated Business Planning for Supply Chain? Note: There are 3 correct answers to this question.

  • A. Demand Planning
  • B. SAP Intelligent Asset Management
  • C. Demand Driven Replenishment
  • D. Inventory Optimization
  • E. Supply Planning

正解：A、D、E

解説：
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.


質問 # 29
You want to display and edit data in different Units of Measure (UOM). Which of the following must you consider before you use the UOM? Note: There are 3 correct answers to this question.

  • A. Units of measure are usually not time-independent
  • B. Units of measure are usually not time-dependent
  • C. Analytics allow the user to select the target unit of measure
  • D. Conversion to the target unit of measure is handled by the SAP IBP Excel add-in
  • E. Units of measure are an attribute of a master data type, such as Product

正解：B、C、E

解説：
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.


質問 # 30
You are working with inventory key figures. What are some of the business scenarios where you can use the Last Period Aggregation function? Note: There are 2 correct answers to this question.

  • A. Calculating how many periods inventory is going to last based on the planned demand
  • B. Calculating the value of inventory on any level from the time profile, ensuring flexibility of calculation
  • C. Calculating the value of inventory on a weekly basis, using static aggregation from the daily level
  • D. Searching for and returning the last not-null value of the inventory key figure

正解：A、D

解説：
The Last Period Aggregation function (LASTPERIOD) in SAP IBP retrieves the most recent value in a time horizon for a key figure, useful for inventory analysis. Its applications align with SAP IBP's calculation capabilities.
* Option A: Calculating the value of inventory on a weekly basis, using static aggregation from the daily levelThis is incorrect. Static aggregation (e.g., sum, average) across periods isn't what LASTPERIOD does; it returns the last period's value, not an aggregate.
* Option B: Calculating how many periods inventory is going to last based on the planned demand This is correct. Using the last period's inventory value (via LASTPERIOD) divided by planned demand can estimate inventory duration, a common scenario in inventory planning, per SAP IBP's documentation.
* Option C: Searching for and returning the last not-null value of the inventory key figureThis is correct. LASTPERIOD retrieves the most recent non-null value in the horizon, ideal for tracking current inventory levels, per SAP IBP's calculation guides.
* Option D: Calculating the value of inventory on any level from the time profile, ensuring flexibility of calculationThis is incorrect. LASTPERIOD is time-specific (last period), not flexible across all levels; it's not a general aggregation method.
Thus, B and C are valid scenarios for Last Period Aggregation, per SAP IBP's official use cases.


質問 # 31
You set up time-series integration using SAP Cloud Integration for Data Services. During the integration process of master data, an error occurred. In the Data Integration app the job failed with the status "Fatal Error." How can you find more details about the error?

  • A. Download the Rejection Report in the Data Integration app
  • B. Navigate to the Master Data Workbook in Excel and open the Log
  • C. Navigate to the Manage Master Data app and open the Log
  • D. Download the Initial Problem Report in the Data Integration app

正解：D

解説：
SAP Cloud Integration for Data Services (CI-DS) integrates master data into SAP IBP, with errors logged in the Data Integration Jobs app, per SAP IBP's integration documentation.
* Option A: Navigate to the Master Data Workbook in Excel and open the LogThis is incorrect. The Excel Master Data Workbook doesn't provide integration job logs; it's for manual maintenance.
* Option B: Navigate to the Manage Master Data app and open the LogThis is incorrect. The Manage Master Data app manages data, not integration job logs.
* Option C: Download the Initial Problem Report in the Data Integration appThis is correct. The Data Integration Jobs app provides detailed error reports (e.g., "Initial Problem Report") for failed jobs like "Fatal Error," per SAP IBP's troubleshooting guides.
* Option D: Download the Rejection Report in the Data Integration appThis is incorrect. The Rejection Report details rejected records, not the full error context of a "Fatal Error." Thus, C is the correct method, per SAP IBP's official integration error handling.


質問 # 32
What are the relevant use cases for helper key figures? Note: There are 2 correct answers to this question.

  • A. Used at any level of calculation level except the Request Level
  • B. Used when you have more than three inputs at different planning levels in one calculation
  • C. Used to break down a large calculation into manageable subcalculations
  • D. Used by end-users in planning views to help visualize cross-period calculations

正解：B、C

解説：
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.


質問 # 33
Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.

  • A. Split into multiple planning areas to support weekly vs. daily planning needs
  • B. Increase the use of incremental lot size beyond the frozen horizon
  • C. Eliminate the usage of telescopic time buckets
  • D. Keep the number of fair share segments small
  • E. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem

正解：C、D、E

解説：
The Time-Series-Based Supply Optimizer in SAP IBP is a powerful tool for supply planning, but its runtime can be significant due to the complexity of constraints and variables. Reducing runtime involves optimizing the problem size and configuration, as outlined in SAP's performance best practices.
* Option A: Keep the number of fair share segments smallThis is correct. Fair share segments (used in demand prioritization or allocation) increase the optimizer's complexity by adding variables and constraints. Limiting segments (e.g., fewer priority tiers) reduces the computational load, a recommended practice in SAP IBP's optimizer configuration documentation.
* Option B: Split into multiple planning areas to support weekly vs. daily planning needsThis is incorrect. Splitting into multiple planning areas might simplify individual runs but doesn't directly reduce the runtime of a single optimizer run. Planning areas are structural, not runtime-specific, and this approach addresses granularity needs, not performance.
* Option C: Use non-overlapping networks by using Subnetwork ID maintained at Location- Products to reduce the size of the problemThis is correct. Subnetwork IDs (e.g., assigned to Location- Product combinations) partition the supply chain network into smaller, independent subproblems. The optimizer solves these separately, significantly reducing runtime by shrinking the problem scope, as per SAP IBP's network optimization guidelines.
* Option D: Eliminate the usage of telescopic time bucketsThis is correct. Telescopic time buckets (e.
g., daily near-term, weekly mid-term, monthly long-term) increase complexity by requiring the optimizer to handle variable time granularities. Using uniform buckets (e.g., all weekly) simplifies the model and cuts runtime, a known performance tweak in SAP IBP.
* Option E: Increase the use of incremental lot size beyond the frozen horizonThis is incorrect.
Incremental lot sizes affect planning quantities, not optimizer runtime directly. Adjusting lot sizes might influence solution feasibility but doesn't inherently optimize performance.
Thus, A, C, and D are proven methods to reduce time-series optimizer runtimes, per SAP IBP's official performance optimization documentation.


質問 # 34
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C-IBP-2502問題集と試験テストエンジン：https://www.goshiken.com/SAP/C-IBP-2502-mondaishu.html

SAP C-IBP-2502問題集にはリアル試験問題解答：https://drive.google.com/open?id=1aWvRmly-5HSA9W7H4CfDbJogUXSX20DT

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