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SAP C-IBP-2502 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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 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 4

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 5

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 (Q34-Q39):

NEW QUESTION # 34
You are configuring disaggregation for the KF1 key figure in the Planning Areas Model Configuration app.
Which methods can you use? Note: There are 3 correct answers to this question.

A. Proportional disaggregation by using KF2 in the expression
B. Disaggregation according to an equal split
C. Disaggregation in batch triggered by an application job
D. Disaggregation according to a helper key figure
E. Disaggregation according to user-defined expression

Answer: A,D,E

Explanation:
Disaggregation in SAP IBP distributes aggregated key figure values (e.g., KF1) to lower planning levels, configured in the Planning Areas app. Methods depend on SAP IBP's calculation framework.
* Option A: Disaggregation according to user-defined expressionThis is correct. Users can define custom expressions (e.g., based on attributes or calculations) in the key figure's disaggregation settings, a flexible feature in SAP IBP, per configuration documentation.
* Option B: Disaggregation according to an equal splitThis is incorrect in this context. While equal split is a default disaggregation method, it's not explicitly configurable as a distinct option in the Planning Areas app; it's automatic when no other method is specified.
* Option C: Disaggregation in batch triggered by an application jobThis is incorrect. Disaggregation occurs in real-time or during planning runs, not as a batch job. Application jobs handle tasks like data copy, not disaggregation logic.
* Option D: Disaggregation according to a helper key figureThis is correct. A helper key figure (e.g., historical sales) can guide disaggregation proportions, a standard method in SAP IBP, per key figure setup guides.
* Option E: Proportional disaggregation by using KF2 in the expressionThis is correct. KF1 can disaggregate proportionally based on another key figure (KF2) via an expression (e.g., KF1 = KF1 * (KF2 / SUM(KF2))), a supported method in SAP IBP.
Thus, A, D, and E are configurable disaggregation methods, per SAP IBP's official capabilities.

NEW QUESTION # 35
Which functional capabilities are included in SAP IBP for response and supply? Note: There are 2 correct answers to this question.

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

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 # 36
You are setting up planning with lot sizes. What are some of the properties of lot sizes that you need to be aware of? Note: There are 2 correct answers to this question.

A. Lot sizes are time-independent master data settings
B. Periodic lot size setting overrides the minimum lot size
C. Lot sizes are applicable for production and handling quantities
D. Lot sizes are applicable for production and transportation quantities

Answer: A,D

Explanation:
Lot sizes in SAP IBP are critical for supply planning, defining the minimum or fixed quantities for production or transportation to optimize resource use and costs. They are typically configured as master data attributes in planning areas supporting time-series-based supply planning.
* Option A: Lot sizes are applicable for production and handling quantitiesThis is misleading. In SAP IBP, lot sizes apply to production (e.g., Production Source of Supply) and transportation (e.g., Transportation Lane), but "handling quantities" is not a standard term in SAP IBP's supply planning context. Handling might imply warehouse operations, which are out of scope for lot size settings.
* Option B: Periodic lot size setting overrides the minimum lot sizeThis is incorrect. SAP IBP does not define "periodic lot size" as overriding minimum lot size in its standard configuration. Minimum lot size (e.g., Minimum Production Lot Size) is a fixed constraint enforced by the supply planning heuristic or optimizer, and periodic settings (e.g., planning frequency) do not override it.
* Option C: Lot sizes are time-independent master data settingsThis is correct. In SAP IBP, lot sizes (e.g., Minimum Lot Size, Maximum Lot Size) are defined as attributes of master data types like Production Source of Supply or Transportation Lane. These are static, time-independent values unless explicitly modeled as time-dependent key figures, which is not the default behavior. This aligns with SAP IBP's master data framework.
* Option D: Lot sizes are applicable for production and transportation quantitiesThis is correct.
SAP IBP's supply planning supports lot sizes for both production (e.g., via Production Source Header) and transportation (e.g., via Transportation Lane). For example, a minimum lot size ensures that production runs or shipments meet a threshold, optimizing efficiency, as per SAP IBP's supply planning documentation.
Thus, C and D accurately reflect SAP IBP's lot size properties, emphasizing their role as time-independent master data affecting production and transportation.

NEW QUESTION # 37
Manage Analytics Stories introduces advanced visualization features within SAP Integrated Business Planning for Supply Chain. What are some of the main capabilities of the stories? Note: There are 3 correct answers to this question.

A. The story is structured around one responsive page
B. Specific chart and table filters can be applied within the story
C. Stories must be re-created in each SAP IBP environment
D. Links to external URLs can be embedded in the story

Answer: B,C,D

Explanation:
The Manage Analytics Stories app in SAP IBP enables users to create interactive dashboards and visualizations. Its capabilities enhance decision-making by integrating data insights.
* Option A: Links to external URLs can be embedded in the storyThis is correct. Analytics Stories support embedding hyperlinks to external resources (e.g., documentation, websites), enhancing context, as per SAP IBP's visualization features.
* Option B: The story is structured around one responsive pageThis is incorrect. Stories can span multiple pages or tabs, not just one, allowing complex layouts. The responsive design adapts to devices, but it's not limited to a single page.
* Option C: Specific chart and table filters can be applied within the storyThis is correct. Users can apply filters to charts and tables (e.g., by Product, Time) within the story, enabling dynamic data exploration, a core capability in SAP IBP's analytics tools.
* Option D: Stories must be re-created in each SAP IBP environmentThis is correct. Analytics Stories are environment-specific (e.g., test vs. production) and cannot be transported directly. They must be recreated or exported/imported manually, per SAP IBP's architecture.
Thus, A, C, and D are main capabilities of Manage Analytics Stories, per SAP IBP's official documentation.
(Note: Original answer A, C, D matches corrected analysis.)

NEW QUESTION # 38
What are possible approaches to modeling a customer demand in time-series-based optimization with SAP IBP for response and supply? Note: There are 2 correct answers to this question.

A. Assign a high cost value (1 million or more) for non-delivery to priority customers
B. Ensure discounting does not result in negative costs for each customer-product combination
C. Try to go as granular as possible with the customer product
D. Ensure product prioritization with the combination of customer and product

Answer: A,D

Explanation:
Time-series-based optimization in SAP IBP for Response and Supply balances demand and supply constraints over a horizon. Modeling customer demand involves prioritization and cost considerations.
* Option A: Ensure discounting does not result in negative costs for each customer-product combinationThis is incorrect. Discounting (e.g., price reductions) isn't a standard concept in time- series optimization; costs (e.g., non-delivery) are positive penalties, not negative adjustments.
* Option B: Assign a high cost value (1 million or more) for non-delivery to priority customersThis is correct. In the optimizer, assigning high non-delivery costs (e.g., 1M) to priority customers ensures their demand is met first, a common prioritization technique in SAP IBP, per optimization documentation.
* Option C: Ensure product prioritization with the combination of customer and productThis is correct. Time-series optimization can prioritize demand at the Customer-Product level (e.g., via demand priority rules or costs), ensuring key combinations are favored, per SAP IBP's supply planning features.
* Option D: Try to go as granular as possible with the customer productThis is incorrect. Excessive granularity increases complexity without guaranteeing better results; optimization balances granularity with performance, not mandating maximum detail.
Thus, B and C are valid approaches to modeling customer demand, per SAP IBP's optimization capabilities.

NEW QUESTION # 39
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