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SAP C_IBP_2502 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- Master Data: This section is relevant to master data specialists and focuses on managing essential data for planning activities. It includes an understanding of product, location, and resource master data within SAP. Candidates will be tested on how to maintain accurate and consistent data to support planning functions.
Topic 3
- General Configuration of a Planning Area: This section is aimed at SAP solution consultants and covers the configuration of a planning area. It includes defining key planning parameters, setting up structures, and ensuring the system is configured to meet business needs. Candidates will be tested on their ability to customize planning areas for optimal performance.
Topic 4
- 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 5
- 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 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.
Topic 7
- 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 8
- 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.
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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q20-Q25):
NEW QUESTION # 20
What are some of the capabilities of the Planner Workspaces app? Note: There are 2 correct answers to this question.
- A. It supports embedding analytic stories as a workspace component
- B. It supports simulating the effect of the changes
- C. It supports sharing with other users or user groups
- D. It supports favorites created in SAP IBP, add-in for Microsoft Excel
Answer: A,D
Explanation:
The Planner Workspaces app in SAP IBP is a Fiori-based UI that integrates planning tools, analytics, and collaboration features for supply chain planners.
* Option A: It supports simulating the effect of the changesThis is incorrect. While simulation is a feature in SAP IBP (e.g., via versions or scenarios in Excel), Planner Workspaces focuses on visualization and navigation, not direct simulation execution. Simulation occurs in other apps like Excel or Manage Scenarios.
* Option B: It supports favorites created in SAP IBP, add-in for Microsoft ExcelThis is correct.
Planner Workspaces integrates with the Excel add-in, allowing users to access their Excel favorites (e.
g., planning views) directly within the workspace. This enhances usability by linking preferred tools, as per SAP IBP's documentation on Planner Workspaces.
* Option C: It supports embedding analytic stories as a workspace componentThis is correct.
Analytic stories (created in the Manage Analytics Stories app) can be embedded in Planner Workspaces, providing charts and insights alongside planning data. This is a key visualization feature, per SAP IBP's UI capabilities.
* Option D: It supports sharing with other users or user groupsThis is incorrect. Sharing is available in Excel (e.g., templates) or analytics apps, but Planner Workspaces doesn't have a native sharing function for workspaces themselves. Collaboration occurs via other mechanisms.
Thus, B and C are accurate capabilities of Planner Workspaces, aligning with SAP IBP's official feature set.
NEW QUESTION # 21
How do you achieve rolling aggregation with SAP IBP?
- A. Using an appropriate period weight factor
- B. Using a local member
- C. Using a key figure calculation
- D. Using an attribute as a key figure
Answer: C
Explanation:
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.
NEW QUESTION # 22
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
Answer: C,D,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 # 23
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. Modified code
- B. Scenario ID
- C. Key figure type
- D. Reason code
- E. Attributes
Answer: A,D,E
Explanation:
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.
NEW QUESTION # 24
Which planning operators can be executed in a time-series-based planning area? Note: There are 2 correct answers to this question.
- A. Deployment Optimizer
- B. Shelf Life Heuristics
- C. Finite Heuristics
- D. Constrained Forecast Run
Answer: C,D
NEW QUESTION # 25
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