C-IBP-2502 TOP QUESTIONS - INTEREACTIVE C-IBP-2502 TESTING ENGINE

C-IBP-2502 Top Questions - Intereactive C-IBP-2502 Testing Engine

C-IBP-2502 Top Questions - Intereactive C-IBP-2502 Testing Engine

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Tags: C-IBP-2502 Top Questions, Intereactive C-IBP-2502 Testing Engine, Test C-IBP-2502 Registration, C-IBP-2502 Guaranteed Passing, C-IBP-2502 New Dumps Ppt

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SAP C-IBP-2502 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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
  • 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 7
  • 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.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q26-Q31):

NEW QUESTION # 26
Which planning operators can be executed in a time-series-based planning area? Note: There are 2 correct answers to this question.

  • A. Constrained Forecast Run
  • B. Deployment Optimizer
  • C. Finite Heuristics
  • D. Shelf Life Heuristics

Answer: A,C

Explanation:
Time-series-based planning areas in SAP IBP support operators for demand, supply, and inventory planning, distinct from order-based operators.
* Option A: Constrained Forecast RunThis is correct. The Constrained Forecast Run adjusts demand forecasts based on supply constraints, a time-series operator in SAP IBP for S&OP, per official documentation.
* Option B: Shelf Life HeuristicsThis is incorrect. Shelf Life Heuristics is specific to SAP IBP for Response and Supply (order-based), not time-series planning.
* Option C: Finite HeuristicsThis is correct. Finite Heuristics plans supply respecting capacity constraints in a time-series context, a standard operator, per SAP IBP's supply planning guides.
* Option D: Deployment OptimizerThis is incorrect. The Deployment Optimizer is an order-based operator in SAP IBP for Response and Supply, not time-series-based.
Thus, A and C are valid time-series operators, per SAP IBP's official capabilities.


NEW QUESTION # 27
What is an example of a commonly used time-independent key figure?

  • A. A unit of measure key figure, such as UoM Conversion Factor
  • B. A currency conversion key figure, such as Exchange Rate
  • C. Any attribute as a key figure
  • D. A special key figure marked as an aggregate key figure (aggregate constraint)

Answer: C

Explanation:
In SAP IBP, key figures can be time-dependent (e.g., forecast quantities over weeks) or time-independent (static values not tied to time periods). Time-independent key figures are often used for constants or attributes in planning calculations.
* Option A: A special key figure marked as an aggregate key figure (aggregate constraint)This is incorrect. Aggregate key figures (e.g., summing demand across products) are typically time-dependent, as they reflect data over a planning horizon, not static values.
* Option B: A unit of measure key figure, such as UoM Conversion FactorThis is incorrect in this context. While UoM Conversion Factor is time-independent (e.g., 1 kg = 1000 g), it's technically a master data attribute, not a key figure in SAP IBP's standard terminology. Key figures are editable or calculated, whereas UoM factors are static settings.
* Option C: Any attribute as a key figureThis is correct. In SAP IBP, attributes (e.g., Product Category, Customer Priority) can be configured as time-independent key figures via the "Attribute as Key Figure" feature. For example, a Product's "Safety Stock Target" could be a static key figure used across all periods, a common practice in supply planning, as per SAP IBP's configuration options.
* Option D: A currency conversion key figure, such as Exchange RateThis is incorrect. Exchange rates can vary over time (e.g., monthly rates), making them time-dependent in most cases. Even if static, they're typically master data or external inputs, not a "commonly used" key figure example in SAP IBP.
Thus, C is the best example of a commonly used time-independent key figure, aligning with SAP IBP's flexibility to model attributes as static key figures.


NEW QUESTION # 28
You create a planning filter using an SAP IBP Fiori app. Which of the following objects can it be applied to?
Note: There are 2 correct answers to this question.

  • A. Compare function in the Planning Areas app
  • B. Supply chain graph in Supply Chain Network app
  • C. Jobs in the Application Jobs app
  • D. Planning view templates in the SAP IBP, add-in for Microsoft Excel

Answer: C,D

Explanation:
Planning filters in SAP IBP, created via the Manage Planning Filters app (Fiori-based), define subsets of data (e.g., by Product, Location) for use across various applications. Their applicability depends on SAP IBP's functional scope.
* Option A: Planning view templates in the SAP IBP, add-in for Microsoft ExcelThis is correct.
Planning filters can be applied to planning view templates in the Excel add-in to restrict data displayed or edited (e.g., show only products in Region X). This is a core feature for planners, as per SAP IBP's Excel integration documentation.
* Option B: Jobs in the Application Jobs appThis is correct. Planning filters can be parameters in application jobs (e.g., Copy Operator, Purge Data) to limit the scope of data processed (e.g., purge data for specific Locations). This is a standard capability in the Application Jobs app, per SAP IBP's job management guides.
* Option C: Compare function in the Planning Areas appThis is incorrect. The Planning Areas app manages planning area configurations, and while it has a "Compare" function to analyze differences, planning filters are not applied here. Filters are for runtime data, not configuration comparison.
* Option D: Supply chain graph in Supply Chain Network appThis is incorrect. The Supply Chain Network app visualizes the network (e.g., Locations, Transportation Lanes), but planning filters are not directly applied to this graph. Filters affect data views, not network visualizations.
Thus, A and B are the correct objects where planning filters can be applied, per SAP IBP's official functionality.


NEW QUESTION # 29
You are developing the functionality and appearance of the Excel UI for SAP IBP business users. Which extensibility capabilities for SAP IBP, add-in for Microsoft Excel are provided by Custom VBA coding?
Note: There are 2 correct answers to this question.

  • A. Changing the entries from the Name Manager
  • B. Changing the member names
  • C. SAP IBP ribbon extension
  • D. Changing the layout of the master data workbooks

Answer: C,D

Explanation:
Custom VBA (Visual Basic for Applications) coding extends the SAP IBP Excel add-in's functionality and UI, per SAP IBP's extensibility documentation.
* Option A: Changing the member namesThis is incorrect. Member names (e.g., Product IDs) are master data, not modifiable via VBA in the Excel UI; VBA customizes behavior, not data content.
* Option B: SAP IBP ribbon extensionThis is correct. VBA can extend the SAP IBP ribbon (toolbar) with custom buttons or commands, enhancing user interaction, a supported extensibility feature, per SAP IBP's guides.
* Option C: Changing the entries from the Name ManagerThis is incorrect. Name Manager entries (Excel-defined names) are managed by Excel, not directly extensible via SAP IBP VBA for IBP- specific functionality.
* Option D: Changing the layout of the master data workbooksThis is correct. VBA can modify the layout (e.g., rearrange columns, add sheets) of master data workbooks in the Excel UI, a common customization, per SAP IBP's documentation.
Thus, B and D are VBA extensibility capabilities, per SAP IBP's official Excel add-in features.


NEW QUESTION # 30
Which of the following solutions should be satisfied with violations penalized by the objective function of the time-series supply optimizer? Note: There are 3 correct answers to this question.

  • A. Not fully satisfied demands
  • B. Violation of minimum aggregated inventory values
  • C. Violation of minimum resource utilization
  • D. Not respecting production capacity

Answer: A,B,C

Explanation:
The Time-Series Supply Optimizer in SAP IBP minimizes an objective function (cost-based), penalizing violations of soft constraints, while hard constraints must be fully satisfied, per SAP IBP's optimization documentation.
* Option A: Violation of minimum resource utilizationThis is correct. Minimum resource utilization (e.
g., machine usage) is a soft constraint; violations incur penalties (e.g., underutilization costs), influencing the objective function.
* Option B: Not respecting production capacityThis is incorrect. Production capacity is a hard constraint in the optimizer; it cannot be violated, only respected, unlike soft constraints with penalties.
* Option C: Not fully satisfied demandsThis is correct. Unsatisfied demand (non-delivery) is a soft constraint, penalized via high non-delivery costs in the objective function, a core optimizer feature.
* Option D: Violation of minimum aggregated inventory valuesThis is correct. Minimum inventory levels (e.g., safety stock) are soft constraints; violations are penalized (e.g., stockout costs), affecting the objective function.
Thus, A, C, and D are penalized solutions, per SAP IBP's optimizer behavior.


NEW QUESTION # 31
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