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SAP C_IBP_2502 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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

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

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 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.

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

NEW QUESTION # 37
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. Shelf Life Heuristics
D. Finite Heuristics

Answer: A,D

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 # 38
How many different time levels can be selected within one planning view?

A. All time levels available in the time profile, restricted by global configuration parameter
B. The number of time levels is restricted to four to avoid negative effects on performance
C. All time levels available in the time profile
D. Only time levels from the base planning level of selected key figures

Answer: A

Explanation:
In SAP IBP, a planning view (typically created via the Excel add-in) allows planners to visualize and edit data across various time levels defined in the time profile assigned to the planning area. A time profile in SAP IBP consists of multiple hierarchical levels (e.g., day, week, month, quarter, year). The flexibility to select time levels in a planning view is a core feature of SAP IBP's time-series planning capabilities.
Option A ("Only time levels from the base planning level of selected key figures") is incorrect because planning views are not strictly limited to the base planning level of key figures. The base planning level defines where data is stored, but users can aggregate or disaggregate data across other time levels in the view.
Option C ("All time levels available in the time profile") suggests unrestricted access to all levels, which is partially true but misses a critical nuance. SAP IBP allows flexibility in displaying time levels, but this is governed by system configuration.
Option D ("The number of time levels is restricted to four") is a fabricated limitation not supported by SAP IBP documentation. There's no hardcoded limit of four time levels; performance depends on system resources and configuration, not a fixed cap.
Option B ("All time levels available in the time profile, restricted by global configuration parameter") is correct. SAP IBP allows users to select any time level from the time profile (e.g., day, week, month) in a planning view, but this is subject to a global configuration parameter, such as the "Planning Horizon" or
"Time Profile Level Restrictions," set in the planning area configuration. For example, the "Maximum Number of Time Levels" or similar settings can limit the granularity or range displayed to optimize performance. This aligns with SAP IBP's design to balance flexibility and system efficiency, as outlined in SAP's official documentation on planning views and time profiles.

NEW QUESTION # 39
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. Number of local members and complexity of calculation
D. Excessive SAP IBP formatting in the Microsoft Excel UI

Answer: B,D

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 # 40
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 usually not time-independent
B. Units of measure are an attribute of a master data type, such as Product
C. Conversion to the target unit of measure is handled by the SAP IBP Excel add-in
D. Units of measure are usually not time-dependent
E. Analytics allow the user to select the target unit of measure

Answer: B,D,E

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 # 41
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. Adjusted transportation receipts
B. Transportation lead time
C. Maximum lot size
D. Minimum lot size
E. Aggregated constraints

Answer: A,B,D

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 # 42
......

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