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SAP C-IBP-2502 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
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
- 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
- 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
- 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 6
- 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 (Q80-Q85):
NEW QUESTION # 80
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 an attribute of a master data type, such as Product
- B. Analytics allow the user to select the target unit of measure
- C. Units of measure are usually not time-dependent
- D. Units of measure are usually not time-independent
- E. Conversion to the target unit of measure is handled by the SAP IBP Excel add-in
Answer: A,B,C
Explanation:
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.
NEW QUESTION # 81
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. Eliminate the usage of telescopic time buckets
- 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. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem
- E. Keep the number of fair share segments small
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 # 82
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. Number of analytics charts displaying key figures' values
- B. Complex calculation graphs for key figures
- C. Excessive SAP IBP formatting in the Microsoft Excel UI
- D. Number of local members and complexity of calculation
Answer: B,C
Explanation:
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.
NEW QUESTION # 83
Which of the following conditions are relevant for subtotals in the planning view? Note: There are 2 correct answers to this question.
- A. Only attribute-based totals can be added to the planning view
- B. The total value can be added before or after the selected attribute
- C. The values of the attribute-based total at the highest attribute level in the planning level can be changed
- D. The total number of attributes that can use subtotal in the planning view can be restricted
Answer: B,D
Explanation:
Subtotals in SAP IBP planning views (typically in the Excel add-in) allow users to aggregate key figure values by attributes (e.g., Product, Location) for analysis. Configuration and display options govern their behavior.
* Option A: The total value can be added before or after the selected attributeThis is correct. In the planning view, subtotals can be positioned flexibly-either before (above) or after (below) the attribute values in the layout. This is configurable in the Excel template design, a standard feature per SAP IBP's planning view documentation.
* Option B: The total number of attributes that can use subtotal in the planning view can be restrictedThis is correct. The number of attributes for subtotals can be limited by the planning view's design or system performance settings (e.g., via global parameters or template complexity), ensuring usability and efficiency, as noted in SAP IBP's UI guidelines.
* Option C: The values of the attribute-based total at the highest attribute level in the planning level can be changedThis is incorrect. Subtotals are calculated aggregates and not directly editable at the highest level unless disaggregated. The planning level defines editable data, not subtotal overrides.
* Option D: Only attribute-based totals can be added to the planning viewThis is incorrect. Subtotals can also be time-based (e.g., by week, month) or key figure-based, not just attribute-based, depending on the view's configuration.
Thus, A and B reflect SAP IBP's subtotal functionality in planning views, per official documentation.
NEW QUESTION # 84
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. Local Demand Plan first and Combined Final Demand last
- B. Local Demand Plan first and Consensus Demand Plan Qty last
- C. Statistical Forecast Qty first and Global Demand Plan Qty for S&OP last
- D. Statistical Forecast Qty first and Consensus Demand Plan Qty last
Answer: D
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 # 85
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