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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	Model Sales & Operations Processes: This section targets operations managers and evaluates knowledge of sales and operations planning. It covers the alignment of supply and demand, scenario planning, and decision-making processes to optimize operational efficiency. Candidates will be assessed on their ability to configure models that support strategic business goals.
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	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	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	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 7	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 8	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.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q37-Q42):

NEW QUESTION # 37
The S&OP Operator Profiles app is used to configure different types of algorithms. Which algorithm-specific settings are unique for the Time-Series-Based Supply Optimizer? Note: There are 2 correct answers to this question.

A. Discretization
B. Time profile level
C. Processing mode
D. Global cost factors

Answer: A,D

Explanation:
The S&OP Operator Profiles app in SAP IBP configures planning algorithms (e.g., heuristics, optimizer). The Time-Series-Based Supply Optimizer has unique settings reflecting its optimization approach.
* Option A: DiscretizationThis is correct. Discretization (e.g., binary or integer variables for lot sizes) is specific to the optimizer, enabling discrete decisions (e.g., full truckloads), a feature not in heuristics, per SAP IBP's optimizer documentation.
* Option B: Time profile levelThis is incorrect. Time profile level applies to all time-series planning (heuristics and optimizer), not unique to the optimizer.
* Option C: Global cost factorsThis is correct. The optimizer uses global cost factors (e.g., non- delivery, inventory holding costs) to balance trade-offs across the network, a unique setting compared to heuristics, per SAP IBP's configuration guides.
* Option D: Processing modeThis is incorrect. Processing mode (e.g., batch vs. interactive) is a general job setting, not algorithm-specific to the optimizer.
Thus, A and C are unique settings for the Time-Series-Based Supply Optimizer, per SAP IBP's official documentation.

NEW QUESTION # 38
You created a key figure and want to add calculations. Which of the following rules do you consider? Note:
There are 2 correct answers to this question.

A. The calculation chain for a key figure must always result in a calculated key figure
B. Key figures can be calculated across the different planning levels
C. All key figure calculations have calculation inputs, which can be marked as stored or calculated
D. Aggregation calculations using SUM or MAX functions must be based on a higher aggregation level

Answer: B,C

Explanation:
Key figure calculations in SAP IBP, configured in the Planning Areas app, follow specific rules, per SAP IBP' s calculation engine documentation.
* Option A: All key figure calculations have calculation inputs, which can be marked as stored or calculatedThis is correct. Calculations (e.g., KF3 = KF1 + KF2) use inputs that are either stored (persisted data) or calculated (derived), a fundamental rule, per SAP IBP's guides.
* Option B: The calculation chain for a key figure must always result in a calculated key figureThis is incorrect. The chain can result in a stored key figure if configured to persist, notalways calculated.
* Option C: Aggregation calculations using SUM or MAX functions must be based on a higher aggregation levelThis is incorrect. Aggregation can occur at any level, not strictly higher; it depends on the planning level definition.
* Option D: Key figures can be calculated across the different planning levelsThis is correct.
Calculations can span levels (e.g., aggregating from PERPROD to PERPRODLOC), using disaggregation/aggregation, per SAP IBP's flexibility.
Thus, A and D are key rules, per SAP IBP's official calculation principles.

NEW QUESTION # 39
Which constraints are taken into account by the Time-Series-Based Supply Planning Heuristic (Infinite)?
Note: There are 3 correct answers to this question.

A. Transportation lead time
B. Adjusted transportation receipts
C. Minimum lot size
D. Aggregated constraints
E. Maximum lot size

Answer: A,B,C

Explanation:
The Time-Series-Based Supply Planning Heuristic (Infinite) in SAP IBP generates an unconstrained supply plan, ignoring capacity limits (e.g., resource availability) but respecting logistical and material constraints.
"Infinite" indicates infinite capacity, not infinite disregard for all constraints.
* Option A: Adjusted transportation receiptsThis is correct. Adjusted transportation receipts (e.g., confirmed receipts adjusted for delays)are considered as inputs to ensure the heuristic aligns supply with available stock movements, a standard feature in SAP IBP's time-series planning.
* Option B: Aggregated constraintsThis is incorrect. Aggregated constraints (e.g., total capacity across locations) imply finite limits, which the infinite heuristic does not enforce. It focuses on detailed, not aggregated, constraints.
* Option C: Maximum lot sizeThis is incorrect. While maximum lot size is a constraint in finite heuristics or optimization, the infinite heuristic does not cap production or transportation quantities, focusing instead on minimums and lead times.
* Option D: Transportation lead timeThis is correct. The heuristic respects transportation lead times (from Transportation Lane master data) to schedule supply receipts accurately across the planning horizon, a core logistical constraint in SAP IBP.
* Option E: Minimum lot sizeThis is correct. Minimum lot size (from Production Source or Transportation Lane) ensures that planned quantities meet minimum thresholds, a constraint enforced even in infinite planning to reflect realistic batch sizes.
Thus, A, D, and E are constraints respected by the Time-Series-Based Supply Planning Heuristic (Infinite), per SAP IBP's supply planning documentation.

NEW QUESTION # 40
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, based on a stored split-factor key figure
B. Splitting the values from aggregated to detailed level using multiplication by the proportions
C. Splitting the values from detailed to aggregated level by using a copy operator
D. Splitting the values from aggregated to detailed level, based on the time profile attribute

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 # 41
You need to use your resource cost-effectively with a certain minimum use, even if it means producing more than demand. Which solutions would apply to this scenario? Note: There are 2 correct answers to this question.

A. Minimum capacity utilization will result in pull production
B. Balance can be achieved between excessive prebuild and minimum use by incorporating violation costs
C. Excess stock can be generated and will need to be staged in an overflow warehouse
D. Capacity leveling will be possible for production and storage resources

Answer: B,C

Explanation:
This scenario involves optimizing resource use with a minimum threshold, potentially overproducing, in SAP IBP's supply planning, per its documentation.
* Option A: Excess stock can be generated and will need to be staged in an overflow warehouseThis is correct. Overproduction to meet minimum use generates excess stock, requiring storage (e.g., overflow warehouse), a practical outcome, per SAP IBP's planning behavior.
* Option B: Capacity leveling will be possible for production and storage resourcesThis is incorrect.
Capacity leveling (smoothing production) is a PP/DS feature, not standard in IBP's time-series planning.
* Option C: Balance can be achieved between excessive prebuild and minimum use by incorporating violation costsThis is correct. The Supply Optimizer can balance minimum utilization (via costs) and excess production (via inventory costs), a supported solution, per SAP IBP's optimization features.
* Option D: Minimum capacity utilization will result in pull productionThis is incorrect. Pull production (demand-driven) contradicts producing beyond demand; this scenario aligns with push logic.
Thus, A and C apply, per SAP IBP's official supply planning capabilities.

NEW QUESTION # 42
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