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SAP C-IBP-2502 Exam Syllabus Topics:

Topic	Details
Topic 1	Solution Architecture & Data Integration: his exam section is aimed at solution architects who work with SAP data integration. It covers the fundamental concepts of integrating external data sources with SAP, ensuring seamless data flow between systems. Candidates need to understand how to maintain system architecture for optimized performance and reliability.
Topic 2	Demand Planning: This section measures the skills of demand planners and focuses on the core concepts of demand planning. It includes understanding forecasting techniques, demand sensing, and demand propagation. Candidates are tested on their ability to manage demand signals and align planning with business objectives.
Topic 3	Analytics and Reporting: his section evaluates the expertise of reporting specialists in generating and interpreting reports within SAP. It covers key analytical tools and reporting functions that provide insights into planning performance. Candidates will be assessed on their ability to extract, analyze, and present data effectively to support business decisions.
Topic 4	Key Figures & Attributes: This section of the exam measures the skills of supply chain analysts and focuses on the key figures and attributes used in planning. It covers how to define and configure key figures to ensure accurate data representation and decision-making. Candidates are also tested on their ability to manage attributes that support various planning scenarios.
Topic 5	User Interface: This section assesses the knowledge of business users in navigating and utilizing the SAP interface effectively. It covers how to interact with different features, customize views, and leverage UI functionalities for efficient planning and reporting. Candidates are expected to demonstrate proficiency in accessing and interpreting data within the system.
Topic 6	Model Supply Processes: This section assesses the expertise of supply chain planners in designing and managing supply processes. It includes setting up sourcing, inventory management, and supply constraints. Candidates will be evaluated on their ability to model supply networks and optimize resource allocation.

SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q11-Q16):

NEW QUESTION # 11
You need to integrate data from SAP S/4HANA and legacy ERP to SAP IBP. What are the integration tools that you can use with such a setup for data transfer? Note: There are 2 correct answers to this question.

A. SAP Cloud Integration for Data Services
B. SAP Smart Data Integration
C. Real-time Integration
D. Core Interface

Answer: A,B

Explanation:
SAP IBP integrates with SAP S/4HANA and legacy ERP systems to transfer master and transactional data, using specific tools designed for cloud-based planning.
* Option A: SAP Cloud Integration for Data ServicesThis is correct. SAP Cloud Integration for Data Services (CI-DS) is the primary tool for integrating SAP IBP with S/4HANA and legacy systems. It supports batch data transfers (e.g., master data, key figures) via predefined templates, as per SAP IBP's integration framework.
* Option B: SAP Smart Data IntegrationThis is correct. SAP Smart Data Integration (SDI), part of SAP HANA, enables real-time or batch integration from S/4HANA and legacy ERPs to SAP IBP, particularly for complex data mappings, a supported method in SAP's documentation.
* Option C: Core InterfaceThis is incorrect. Core Interface (CIF) is used in SAP ECC/APO, not SAP IBP. IBP relies on cloud-based tools like CI-DS, not ECC's CIF.
* Option D: Real-time IntegrationThis is incorrect. "Real-time Integration" is a concept, not a specific tool. While SDI supports real-time, it's the tool itself (B), not a standalone option.
Thus, A and B (CI-DS and SDI) are the correct integration tools for SAP IBP, per official integration guides.

NEW QUESTION # 12
Which functional capabilities are included in SAP IBP for response and supply? Note: There are 2 correct answers to this question.

A. Analyze Supply Usage
B. Detailed Production Scheduling
C. Calculating Buffer Proposals
D. Gating Factor

Answer: A,D

Explanation:
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.

NEW QUESTION # 13
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. Using the key figure calculations in the Web UI
B. Using planning object maintenance with key figure data in Excel UI
C. Managing the master data via the Web UI
D. Importing the key figure data files using the Web UI

Answer: B,D

Explanation:
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.

NEW QUESTION # 14
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. Eliminate the usage of telescopic time buckets
C. Keep the number of fair share segments small
D. Increase the use of incremental lot size beyond the frozen horizon
E. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem

Answer: B,C,E

Explanation:
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.

NEW QUESTION # 15
You need to define a new logic for a key figure to drive values from the PERPRODCUSTREGION level to the PERPRODCUST level. Which of the following configuration options are possible for this process? Note:
There are 2 correct answers to this question.

A. Splitting the values from aggregated to detailed level using multiplication by the proportions
B. Splitting the values from aggregated to detailed level, based on a stored split-factor key figure
C. Splitting the values from aggregated to detailed level, based on the time profile attribute
D. Splitting the values from detailed to aggregated level by using a copy operator

Answer: A,B

Explanation:
In SAP IBP, key figure calculations often involve disaggregation or aggregation across planning levels. Here, the task is to distribute (disaggregate) values from a higher aggregation level (PERPRODCUSTREGION, i.e., Product-Customer-Region) to a more detailed level (PERPRODCUST, i.e., Product-Customer). This is a common requirement in supply chain planning to allocate regional data to individual customer levels.
* Option A: Splitting the values from detailed to aggregated level by using a copy operatorThis is incorrect because the question specifies moving from PERPRODCUSTREGION (aggregated) to PERPRODCUST (detailed), not the reverse. A copy operator typically copies values without transformation, and aggregation moves data upward, not downward.
* Option B: Splitting the values from aggregated to detailed level using multiplication by the proportionsThis is correct. In SAP IBP, disaggregation can use proportional factors to split aggregated data. For example, if PERPRODCUSTREGION has a total value (e.g., 100 units), it can be distributed to PERPRODCUST based on predefined proportions (e.g., Customer A gets 60%, Customer B gets
40%). This is configured in the key figure's disaggregation settings using a proportional calculation, a standard feature in SAP IBP's time-series planning.
* Option C: Splitting the values from aggregated to detailed level, based on the time profile attributeThis is incorrect. Time profile attributes (e.g., week, month) govern temporal granularity, not the structural disaggregation between planning levels like PERPRODCUSTREGION and PERPRODCUST. Disaggregation in SAP IBP is driven by key figure settings, not time profile attributes directly.
* Option D: Splitting the values from aggregated to detailed level, based on a stored split-factor key figureThis is correct. SAP IBP supports disaggregation using a stored key figure as a split factor. For instance, a key figure like "Customer Distribution Ratio" (stored at PERPRODCUST) can define how the aggregated value (e.g., 100 units at PERPRODCUSTREGION) is split (e.g., 70 units to Customer A, 30 units to Customer B). This method is widely used in SAP IBP for precise, data-driven disaggregation, as documented in SAP's configuration guides.
Thus, B and D align with SAP IBP's disaggregation capabilities, leveraging proportions or stored split factors to move data from an aggregated to a detailed level.

NEW QUESTION # 16
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Reliable C-IBP-2502 Test Answers | C-IBP-2502 Updated Demo

Useful Reliable C-IBP-2502 Test Answers & Leading Offer in Qualification Exams & Realistic SAP SAP Certified Associate - SAP IBP for Supply Chain

SAP C-IBP-2502 Exam Syllabus Topics:

SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q11-Q16):

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