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SAP C_IBP_2502 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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 6	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 7	Planning Operators & Application: JobsThis section is designed for demand planners and focuses on the configuration and execution of planning operators and application jobs. It includes an understanding of how these tools automate planning processes and improve system performance. Candidates will be tested on their ability to configure and execute jobs that support various planning functions.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which conditions have to be fulfilled as a prerequisite to maintain a key figure disaggregation? Note: There are 2 correct answers to this question.

A. The key figure is stored and all editable
B. The key figure is calculated and system editable
C. The key figure is calculated and all editable
D. The key figure is stored and system editable

Answer: A,D

Explanation:
Disaggregation in SAP IBP distributes aggregated key figure values to lower levels, configured in the Planning Areas app. Prerequisites depend on the key figure's properties, per SAP IBP's documentation.
* Option A: The key figure is calculated and system editableThis is incorrect. Calculated key figures derive values and aren't typically disaggregated; they're outputs, not inputs for disaggregation.
* Option B: The key figure is calculated and all editableThis is incorrect. Calculated key figures aren't manually editable (all editable), and disaggregation applies to stored key figures.
* Option C: The key figure is stored and system editableThis is correct. A stored key figure (persisted data) that's system editable (e.g., via operators) can be disaggregated, a valid condition, per SAP IBP's rules.
* Option D: The key figure is stored and all editableThis is correct. A stored key figure that's fully editable (e.g., manually in Excel) supports disaggregation, as users can input aggregated values to split, per SAP IBP's documentation.
Thus, C and D are prerequisites, per SAP IBP's official disaggregation requirements.

NEW QUESTION # 31
You are implementing a demand process in SAP IBP for sales and operations, and consider using the standard forecast key figures available in the sample planning area SAPIBP1. What are the first and last key figures in the logical progression of demand in the S&OP process?

A. Statistical Forecast Qty first and Consensus Demand Plan Qty last
B. Statistical Forecast Qty first and Global Demand Plan Qty for S&OP last
C. Local Demand Plan first and Combined Final Demand last
D. Local Demand Plan first and Consensus Demand Plan Qty last

Answer: A

Explanation:
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.

NEW QUESTION # 32
What are some of the features of the network charts in SAP Integrated Business Planning for Supply Chain?
Note: There are 2 correct answers to this question.

A. You can create a network chart from the dedicated app, or use the Manage Analytics Stories app
B. The network charts visualize relationships between warehouse, plants, customer, and supplier, for finished goods
C. To display the network chart, you need the Ship-From Location master data type in the planning area
D. You can create a network chart from the dedicated app, or use the Analytics Advanced app

Answer: B,D

Explanation:
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.

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

Answer: A,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 # 34
What are some of the key capabilities of SAP Integrated Business Planning for demand? Note: There are 3 correct answers to this question.

A. Embedded, on-the-fly demand analytics
B. Classifying demand into zones
C. Determination of coefficient of variation (CV)
D. Automated, exception-based processing
E. Statistical analysis using the predictive analytics tools

Answer: A,C,D

Explanation:
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.

NEW QUESTION # 35
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