Exam C-IBP-2502 Vce Format | C-IBP-2502 Test Practice

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PracticeMaterial SAP C-IBP-2502 exam practice questions and answers

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SAP C-IBP-2502 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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 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.
Topic 7	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.

SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q51-Q56):

NEW QUESTION # 51
What are the S&OP operator (optimizer) parameters associated with demand fair share?

A. Number of fair share segments, Additional tiering costs (default), Inventory days of supply
B. Number of fair share segments, Additional tiering costs (default), Number of fair share segments late delivery
C. Number of fair share segments, Additional tiering costs (default), Maximum inventory
D. Number of fair share segments, Maximum days of coverage, Number of fair share segments late delivery

Answer: B

Explanation:
In SAP IBP for Sales and Operations Planning (S&OP), the Time-Series-Based Supply Optimizer uses "fair share" logic to distribute limited supply across demand, with specific parameters configured in the S&OP Operator Profiles app.
* Option A: Number of fair share segments, Maximum days of coverage, Number of fair share segments late deliveryThis is incorrect. "Maximum days of coverage" is not a fair share parameter; it's more relevant to inventory planning.
* Option B: Number of fair share segments, Additional tiering costs (default), Number of fair share segments late deliveryThis is correct. The optimizer uses:
* Number of fair share segments: Defines priority tiers for demand allocation (e.g., high-priority customers).
* Additional tiering costs (default): Cost penalties for deviating from fair share across tiers.
* Number of fair share segments late delivery: Segments for late delivery prioritization.These align with SAP IBP's fair share optimization settings, per official documentation.
* Option C: Number of fair share segments, Additional tiering costs (default), Maximum inventory This is incorrect. "Maximum inventory" is an inventory constraint, not a fair share parameter.
* Option D: Number of fair share segments, Additional tiering costs (default), Inventory days of supplyThis is incorrect. "Inventory days of supply" is an inventory metric, not a direct fair share parameter.
Thus, B is the correct set of fair share parameters, per SAP IBP's optimizer configuration.

NEW QUESTION # 52
You need to make manual adjustments to your S&OP plan. Which are possible ways of making these changes? Note: There are 2 correct answers to this question.

A. Using Microsoft Excel planning views
B. Using Driver-Based Planning
C. Leveraging the web-based planning capability
D. Leveraging the functionality of SAP Work Zone

Answer: A,C

Explanation:
Manual adjustments to an S&OP plan in SAP IBP involve editing key figures, supported by specific UIs, per SAP IBP's S&OP documentation.
* Option A: Leveraging the web-based planning capabilityThis is correct. The Planner Workspaces app (web-based) allows manual adjustments to key figures (e.g., demand plans), a standard feature, per SAP IBP's UI capabilities.
* Option B: Leveraging the functionality of SAP Work ZoneThis is incorrect. SAP Work Zone is a collaboration platform, not a planning tool for S&OP adjustments in IBP.
* Option C: Using Microsoft Excel planning viewsThis is correct. The Excel add-in's planning views are the primary interface for manual S&OP adjustments (e.g., editing Consensus Demand), per SAP IBP's documentation.
* Option D: Using Driver-Based PlanningThis is incorrect. Driver-Based Planning is a methodology (e.
g., linking demand to drivers), not a direct manual adjustment method.
Thus, A and C are valid ways, per SAP IBP's official planning interfaces.

NEW QUESTION # 53
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 the time profile attribute
B. Splitting the values from detailed to aggregated level by using a copy operator
C. Splitting the values from aggregated to detailed level using multiplication by the proportions
D. Splitting the values from aggregated to detailed level, based on a stored split-factor key figure

Answer: C,D

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 # 54
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 applicable for production and handling quantities
B. Lot sizes are time-independent master data settings
C. Periodic lot size setting overrides the minimum lot size
D. Lot sizes are applicable for production and transportation quantities

Answer: B,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 # 55
You want to maintain key figure values for a new attribute and value combination, using SAP IBP, add-in for Microsoft Excel, and you are receiving an error related to missing combinations. How can you resolve this problem? Note: There are 2 correct answers to this question.

A. Use the Copy Operator to create the missing combinations
B. Use the Manage Master Data app to create missing combinations
C. Use the Data Integration app to upload the missing combinations
D. Use the function New Planning Object in Excel UI to create missing combination

Answer: C,D

Explanation:
Errors for missing combinations in SAP IBP Excel occur when key figure data references non-existent planning objects (e.g., Product-Location pairs), per SAP IBP's documentation.
* Option A: Use the Data Integration app to upload the missing combinationsThis is correct. The Data Integration Jobs app can import new planning object combinations (e.g., via CSV), resolving the error, per SAP IBP's data management guides.
* Option B: Use the Manage Master Data app to create missing combinationsThis is incorrect. The Manage Master Data app edits existing master data, not compound combinations directly for planning objects.
* Option C: Use the function New Planning Object in Excel UI to create missing combinationThis is correct. The "New Planning Object" feature in the Excel add-in creates missing combinations (e.g., PERPRODLOC) on the fly, per SAP IBP's Excel capabilities.
* Option D: Use the Copy Operator to create the missing combinationsThis is incorrect. The Copy Operator transfers key figure data, not creates new planning object combinations.
Thus, A and C resolve the issue, per SAP IBP's official tools and processes.

NEW QUESTION # 56
......

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EXAM C-IBP-2502 VCE FORMAT | C-IBP-2502 TEST PRACTICE

Exam C-IBP-2502 Vce Format | C-IBP-2502 Test Practice