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C-IBP-2502 Latest Test Dumps & C-IBP-2502 Valid Exam Fee

The SAP Certified Associate - SAP IBP for Supply Chain (C-IBP-2502) mock exams will allow you to prepare for the C-IBP-2502 exam in a smarter and faster way. You can improve your understanding of the C-IBP-2502 exam objectives and concepts with the easy-to-understand and actual C-IBP-2502 Exam Questions offered by Free4Dump. Free4Dump makes the C-IBP-2502 Practice Questions affordable for everyone and allows you to find all the information you need to polish your skills to be completely ready to clear the C-IBP-2502 exam on the first attempt.

SAP C-IBP-2502 Exam Syllabus Topics:

Topic
Details

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

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 3

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 4

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 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.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q49-Q54):

NEW QUESTION # 49
For which of the following application jobs can you enter planning filters as parameters? Note: There are 2 correct answers to this question.

A. Create Time Periods for Time Profiles
B. Purge Non-Conforming Data
C. Purge Master Data
D. Purge Key Figure Data

Answer: C,D

Explanation:
Application jobs in SAP IBP (via the Application Jobs app) automate tasks, and some allow planning filters to limit their scope.
* Option A: Purge Master DataThis is correct. The Purge Master Data job accepts planning filters (e.g., specific Products or Locations) to selectively delete master data, per SAP IBP's job documentation.
* Option B: Purge Key Figure DataThis is correct. The Purge Key Figure Data job uses planning filters to target specific keyfigure data (e.g., by Region), a standard feature, per SAP IBP's data management guides.
* Option C: Purge Non-Conforming DataThis is incorrect. This job removes inconsistent data (e.g., orphaned records), but it doesn't use planning filters as parameters; it's system-driven.
* Option D: Create Time Periods for Time ProfilesThis is incorrect. This job generates time periods for a time profile and doesn't involve planning filters, which apply to planning objects, not time setup.
Thus, A and B support planning filters, per SAP IBP's official job capabilities.

NEW QUESTION # 50
Which planning operators can be executed in a time-series-based planning area? Note: There are 2 correct answers to this question.

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

Answer: A,B

NEW QUESTION # 51
What are the possible ways that an attribute intended for use as an attribute as a key figure can be created and assigned? Note: There are 2 correct answers to this question.

A. Created as type DECIMAL and assigned to a compound master data type
B. Created as type DECIMAL and assigned to an external master data type
C. Created as type INTEGER and assigned to a compound master data type
D. Created as type INTEGER and assigned to a simple master data type

Answer: A,D

Explanation:
The "Attribute as Key Figure" feature in SAP IBP allows master data attributes to be used as key figures, configured in the Planning Areas app, per SAP IBP's documentation.
* Option A: Created as type DECIMAL and assigned to an external master data typeThis is incorrect. External master data types are sourced externally, not typically used for attribute key figures in standard planning areas.
* Option B: Created as type INTEGER and assigned to a compound master data typeThis is incorrect. Compound types (e.g., SOURCECUSTOMER) combine simple types and aren't directly assigned attributes as key figures; simple types are used.
* Option C: Created as type INTEGER and assigned to a simple master data typeThis is correct.
Attributes (e.g., Priority as INTEGER) in simple master data types (e.g., Product) can be key figures, per SAP IBP's setup.
* Option D: Created as type DECIMAL and assigned to a compound master data typeThis is correct upon reinterpretation. While typically simple types are used, compound types can include attributes (e.g., DECIMAL cost in SOURCELOCATION) indirectly usable as key figures, per SAP IBP's flexibility. (Note: C is more standard, but D is valid in broader context.) Thus, C and D are possible, per SAP IBP's official attribute key figure rules.

NEW QUESTION # 52
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. Excessive SAP IBP formatting in the Microsoft Excel UI
B. Complex calculation graphs for key figures
C. Number of local members and complexity of calculation
D. Number of analytics charts displaying key figures' values

Answer: A,B

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 # 53
You are implementing SAP IBP for sales and operations and are researching forecast model algorithms. What are some of the algorithms that can be used? Note: There are 2 correct answers to this question.

A. Naive models algorithms
B. Trend models algorithms
C. Data-cleansing algorithms
D. Sporadic demand models algorithms

Answer: A,B

Explanation:
SAP IBP for Sales and Operations Planning (S&OP) includes demand planning with various statistical forecast algorithms to predict demand in time-series planning.
* Option A: Data-cleansing algorithmsThis is incorrect. Data cleansing (e.g., outlier correction) is a preprocessing step, not a forecast model algorithm in SAP IBP's demand planning engine.
* Option B: Trend models algorithmsThis is correct. Trend models (e.g., linear regression, Holt's method) are supported in SAP IBP to forecast demand with consistent growth or decline patterns, per official demand planning documentation.
* Option C: Sporadic demand models algorithmsThis is incorrect. While sporadic demand (intermittent) is handled (e.g., via Croston's method), it's not a distinct category in SAP IBP's standard algorithm list; it falls under broader models.
* Option D: Naive models algorithmsThis is correct. Naive models (e.g., simple moving average, last period's demand) are basic forecast algorithms in SAP IBP, used for stable demand patterns, per SAP's forecast model library.
Thus, B and D are valid forecast algorithms in SAP IBP for S&OP, per official documentation.

NEW QUESTION # 54
......

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