C_IBP_2502 VALID BRAINDUMPS QUESTIONS & VALID TEST C_IBP_2502 TUTORIAL

C_IBP_2502 Valid Braindumps Questions & Valid Test C_IBP_2502 Tutorial

C_IBP_2502 Valid Braindumps Questions & Valid Test C_IBP_2502 Tutorial

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SAP C_IBP_2502 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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
  • 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 4
  • 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 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
  • 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 7
  • 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 8
  • 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 9
  • 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.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q74-Q79):

NEW QUESTION # 74
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 a helper key figure
  • C. Disaggregation in batch triggered by an application job
  • D. Disaggregation according to user-defined expression
  • E. Disaggregation according to an equal split

Answer: A,B,D

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 # 75
Which Master Data Types are used in time-series-based planning within SAP IBP for response and supply?
Note: There are 3 correct answers to this question.

  • A. DS Order Fulfillment
  • B. Location
  • C. Customer
  • D. Product
  • E. Transportation Lane

Answer: B,C,D

Explanation:
SAP IBP for Response and Supply includes time-series-based planning (e.g., heuristics, optimization) alongside order-based planning. Time-series planning relies on master data types to define the supply chain network and planning objects.
* Option A: DS Order FulfillmentThis is incorrect. "DS Order Fulfillment" is not a standard master data type in SAP IBP. Order fulfillment is an outcome of response planning (order-based), not a time- series master data type.
* Option B: Transportation LaneThis is incorrect in this context. While Transportation Lane is a master data type in SAP IBP, it is primarily used in supply planning (e.g., defining sourcing relationships). However, in the specific scope of "time-series-based planning within SAP IBP for response and supply," it's less prominent, as response planning often emphasizes order-based logic over time-series constraints like lanes. The correct answers focus on foundational master data.
* Option C: CustomerThis is correct. The Customer master data type (e.g., Customer ID) is essential in time-series planning to model demand at the customer level (e.g., in Sales and Operations Planning or supply planning). It's a core component of planning levels like PERPRODCUST.
* Option D: LocationThis is correct. The Location master data type (e.g., Plant, Warehouse) defines nodes in the supply chain network. Time-series planning uses locations to calculate supply, inventory, and transportation quantities across the planning horizon.
* Option E: ProductThis is correct. The Product master data type (e.g., Product ID) is fundamental to time-series planning, representing the items being planned. It's used in key figures like production quantities or demand forecasts.
Thus, C, D, and E (Customer, Location, Product) are core master data types in SAP IBP's time-series-based planning for response and supply, as per official documentation on planning area setup.


NEW QUESTION # 76
You are adding a value-based filter to a planning view. Which of the following conditions apply? Note: There are 2 correct answers to this question.

  • A. These filters can be used together with attribute totals in the same planning view
  • B. You can only apply one value-based filter per planning view
  • C. The alerts dashboard is not available if a value-based filter is set for the open planning view
  • D. You can add (or delete) planning objects to a planning view after these filters are applied

Answer: A,D

Explanation:
Value-based filters in SAP IBP planning views (Excel add-in) restrict data based on key figure values (e.g.,
"Sales > 1000"). Their behavior is defined by SAP IBP's UI capabilities.
* Option A: These filters can be used together with attribute totals in the same planning viewThis is correct. Value-based filters (e.g., filtering high-demand products) coexist with attribute totals (e.g., summing by Region), allowing combined analysis in the same view, per SAP IBP's planning view flexibility.
* Option B: The alerts dashboard is not available if a value-based filter is set for the open planning viewThis is incorrect. The alerts dashboard remains accessible regardless of filters in the planning view.
Alerts are independent of view-specific filters.
* Option C: You can add (or delete) planning objects to a planning view after these filters are appliedThis is correct. Planning objects (e.g., Product-Location combinations) can be maintained (added/deleted) via master data apps or Excel, and the planning view reflects updates even with filters applied, per SAP IBP's dynamic data handling.
* Option D: You can only apply one value-based filter per planning viewThis is incorrect. Multiple value-based filters can be applied (e.g., "Sales > 1000 AND Inventory < 500"), offering layered filtering in SAP IBP.
Thus, A and C are valid conditions for value-based filters, per SAP IBP's planning view documentation.


NEW QUESTION # 77
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. Time profile level
  • B. Processing mode
  • C. Global cost factors
  • D. Discretization

Answer: C,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 # 78
What are some of the key capabilities of SAP Integrated Business Planning for demand? Note: There are 3 correct answers to this question.

  • A. Embedded, on-the-fly demand analytics
  • B. Statistical analysis using the predictive analytics tools
  • C. Determination of coefficient of variation (CV)
  • D. Automated, exception-based processing
  • E. Classifying demand into zones

Answer: A,C,D

Explanation:
SAP IBP for Demand enhances demand planning with advanced features, per SAP IBP's demand module documentation.
* Option A: Automated, exception-based processingThis is correct. Automated forecasting with exception handling (e.g., alerts for outliers) is a core capability, per SAP IBP's demand planning features.
* Option B: Statistical analysis using the predictive analytics toolsThis is incorrect. Predictive analytics (e.g., machine learning) is available via SAP HANA integration, not a native IBP Demand tool.
* Option C: Determination of coefficient of variation (CV)This is correct. CV (variability measure) is calculated in ABC/XYZ segmentation and demand analysis, a standard feature, per SAP IBP's documentation.
* Option D: Classifying demand into zonesThis is incorrect. "Zones" is not a standard demand classification in SAP IBP; ABC/XYZ segmentation is used instead.
* Option E: Embedded, on-the-fly demand analyticsThis is correct. Real-time analytics (e.g., in Excel or Planner Workspaces) provide instant demand insights, per SAP IBP's demand capabilities.
Thus, A, C, and E are key capabilities, per SAP IBP's official demand planning scope.


NEW QUESTION # 79
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