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Valid C_IBP_2502 Test Papers, New C_IBP_2502 Test Testking

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SAP C_IBP_2502 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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 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

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 6

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 7

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 (Q60-Q65):

NEW QUESTION # 60
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. Sporadic demand models algorithms
D. Data-cleansing 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 # 61
Which planning operators can be executed in a time-series-based planning area? Note: There are 2 correct answers to this question.

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

Answer: B,C

NEW QUESTION # 62
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. Minimum lot size
B. Maximum lot size
C. Aggregated constraints
D. Adjusted transportation receipts
E. Transportation lead time

Answer: A,D,E

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 # 63
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. Disaggregation according to user-defined expression
B. Disaggregation according to a helper key figure
C. Proportional disaggregation by using KF2 in the expression
D. Disaggregation according to an equal split
E. Disaggregation in batch triggered by an application job

Answer: A,B,C

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 # 64
Which of the following is a feature of Transportation Load Building (TLB)?

A. Loads are calculated based on the minimum utilization of equipment
B. Loads are integrated into SAP ERP or SAP S/4HANA as distribution receipts
C. It uses rule-based planning to create transportation loads
D. Loads are calculated based on transportation lanes and modes of transport

Answer: C

Explanation:
Transportation Load Building (TLB) in SAP IBP (part of Supply Chain Control Tower or integration with SAP TM) optimizes the consolidation of shipments into transportation loads based on constraints like capacity and rules.
* Option A: Loads are calculated based on transportation lanes and modes of transportThis is partially true but not the defining feature. TLB considers lanes and modes (e.g., truck, rail) as inputs, but its core function is grouping shipments, not merely calculating based on these. It's too generic to be the standout feature.
* Option B: Loads are integrated into SAP ERP or SAP S/4HANA as distribution receiptsThis is incorrect. TLB focuses on planning loads within SAP IBP or TM, not direct integration into ERP
/S4HANA as "distribution receipts." Integration might occur downstream, but it's not a TLB feature.
* Option C: It uses rule-based planning to create transportation loadsThis is correct. TLB employs configurable rules (e.g., maximum weight, volume, compatibility) to consolidate shipments into loads.
For example, it might ensure a truck's capacity is fully utilized while respecting delivery windows, a hallmark of TLB in SAP IBP's supply planning capabilities, as per official documentation.
* Option D: Loads are calculated based on the minimum utilization of equipmentThis is incorrect.
TLB aims to maximize, not minimize, equipment utilization to reducecosts. Minimum utilization might be a constraint, but it's not the calculation basis.
Thus, C is the defining feature of TLB, reflecting its rule-based approach, consistent with SAP IBP's supply chain optimization tools.

NEW QUESTION # 65
......

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