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SAP C_IBP_2502 Exam Syllabus Topics:

Topic	Details
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	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 3	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 4	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 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	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 7	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 8	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 9	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.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q70-Q75):

NEW QUESTION # 70
How many different time levels can be selected within one planning view?

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

Answer: C

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 # 71
You set up time-series integration using SAP Cloud Integration for Data Services. During the integration process of master data, an error occurred. In the Data Integration app the job failed with the status "Fatal Error." How can you find more details about the error?

A. Download the Initial Problem Report in the Data Integration app
B. Download the Rejection Report in the Data Integration app
C. Navigate to the Master Data Workbook in Excel and open the Log
D. Navigate to the Manage Master Data app and open the Log

Answer: A

Explanation:
SAP Cloud Integration for Data Services (CI-DS) integrates master data into SAP IBP, with errors logged in the Data Integration Jobs app, per SAP IBP's integration documentation.
* Option A: Navigate to the Master Data Workbook in Excel and open the LogThis is incorrect. The Excel Master Data Workbook doesn't provide integration job logs; it's for manual maintenance.
* Option B: Navigate to the Manage Master Data app and open the LogThis is incorrect. The Manage Master Data app manages data, not integration job logs.
* Option C: Download the Initial Problem Report in the Data Integration appThis is correct. The Data Integration Jobs app provides detailed error reports (e.g., "Initial Problem Report") for failed jobs like "Fatal Error," per SAP IBP's troubleshooting guides.
* Option D: Download the Rejection Report in the Data Integration appThis is incorrect. The Rejection Report details rejected records, not the full error context of a "Fatal Error." Thus, C is the correct method, per SAP IBP's official integration error handling.

NEW QUESTION # 72
Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.

A. Keep the number of fair share segments small
B. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem
C. Eliminate the usage of telescopic time buckets
D. Increase the use of incremental lot size beyond the frozen horizon
E. Split into multiple planning areas to support weekly vs. daily planning needs

Answer: A,B,C

Explanation:
The Time-Series-Based Supply Optimizer in SAP IBP is a powerful tool for supply planning, but its runtime can be significant due to the complexity of constraints and variables. Reducing runtime involves optimizing the problem size and configuration, as outlined in SAP's performance best practices.
* Option A: Keep the number of fair share segments smallThis is correct. Fair share segments (used in demand prioritization or allocation) increase the optimizer's complexity by adding variables and constraints. Limiting segments (e.g., fewer priority tiers) reduces the computational load, a recommended practice in SAP IBP's optimizer configuration documentation.
* Option B: Split into multiple planning areas to support weekly vs. daily planning needsThis is incorrect. Splitting into multiple planning areas might simplify individual runs but doesn't directly reduce the runtime of a single optimizer run. Planning areas are structural, not runtime-specific, and this approach addresses granularity needs, not performance.
* Option C: Use non-overlapping networks by using Subnetwork ID maintained at Location- Products to reduce the size of the problemThis is correct. Subnetwork IDs (e.g., assigned to Location- Product combinations) partition the supply chain network into smaller, independent subproblems. The optimizer solves these separately, significantly reducing runtime by shrinking the problem scope, as per SAP IBP's network optimization guidelines.
* Option D: Eliminate the usage of telescopic time bucketsThis is correct. Telescopic time buckets (e.
g., daily near-term, weekly mid-term, monthly long-term) increase complexity by requiring the optimizer to handle variable time granularities. Using uniform buckets (e.g., all weekly) simplifies the model and cuts runtime, a known performance tweak in SAP IBP.
* Option E: Increase the use of incremental lot size beyond the frozen horizonThis is incorrect.
Incremental lot sizes affect planning quantities, not optimizer runtime directly. Adjusting lot sizes might influence solution feasibility but doesn't inherently optimize performance.
Thus, A, C, and D are proven methods to reduce time-series optimizer runtimes, per SAP IBP's official performance optimization documentation.

NEW QUESTION # 73
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. Ensure product prioritization with the combination of customer and product
D. Try to go as granular as possible with the customer product

Answer: A,C

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 # 74
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 function New Planning Object in Excel UI to create missing combination
C. Use the Data Integration app to upload the missing combinations
D. Use the Manage Master Data app to create missing combinations

Answer: B,C

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 # 75
......

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New C_IBP_2502 Dumps Files - Latest C_IBP_2502 Exam Guide

SAP C_IBP_2502 Exam Syllabus Topics:

2025 New C_IBP_2502 Dumps Files | Perfect SAP Certified Associate - SAP IBP for Supply Chain 100% Free Latest Exam Guide

SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q70-Q75):

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