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C_IBP_2502資格認定、C_IBP_2502資格復習テキスト

今日、Jpexam市場での競争は過去のどの時代よりも激しくなっています。良い仕事を見つけたいなら、あなたは良い能力と熟練した主要な知識を所有していなければなりません。そのため、C_IBP_2502最高の学習教材を提供するため、SAP認定を取得する必要があります。当社のSAP試験トレントは高品質で効率的であり、C_IBP_2502テストに合格するのにSAP Certified Associate - SAP IBP for Supply Chain役立ちます。

我々のC_IBP_2502問題集はPDF版、ソフト版とオンライン版を含めて、認証試験のすべての問題を全面的に含めています。このC_IBP_2502問題集の正確率は100％になっています。C_IBP_2502試験を準備しているあなたは無料のサンプルをダウンロードして利用して、あなたはこのふさわしいC_IBP_2502問題集を発見することができます。

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C_IBP_2502資格復習テキスト & C_IBP_2502教育資料

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SAP C_IBP_2502 認定試験の出題範囲：

トピック
出題範囲

トピック 1

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.

トピック 2

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.

トピック 3

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.

トピック 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.

トピック 5

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.

トピック 6

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.

SAP Certified Associate - SAP IBP for Supply Chain 認定 C_IBP_2502 試験問題 (Q15-Q20):

質問 # 15
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

正解：A、C

解説：
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.

質問 # 16
Which sourcing methods are required to identify the product flow through the network? Note: There are 3 correct answers to this question.

A. Sourcing via Production
B. Customer Sourcing Rule
C. Sourcing via Demand Prioritization
D. Sourcing via Costs
E. Unspecified Sourcing

正解：A、B、D

解説：
Sourcing methods in SAP IBP define how products flow through the supply chain network, configured via master data (e.g., Production Source, Transportation Lane).
* Option A: Sourcing via ProductionThis is correct. Production sourcing (via Production Source of Supply) defines product flow from manufacturing locations, a core method, per SAP IBP's supply planning documentation.
* Option B: Sourcing via Demand PrioritizationThis is incorrect. Demand prioritization affects allocation, not the physical flow definition.
* Option C: Unspecified SourcingThis is incorrect. "Unspecified Sourcing" is not a standard method; sourcing must be explicitly defined.
* Option D: Customer Sourcing RuleThis is correct. Customer sourcing rules (via SOURCECUSTOMER) specify which locations supply customers, defining flow, per SAP IBP's network setup.
* Option E: Sourcing via CostsThis is correct. Cost-based sourcing (e.g., via Transportation Lane costs) determines optimal flow in optimization, per SAP IBP's optimizer documentation.
Thus, A, D, and E identify product flow, per SAP IBP's official sourcing methods. (Note: Original had C typo; corrected to D.)

質問 # 17
Which SAP IBP planning operator can be run to delete planning objects in a certain version?

A. Purge Non-Conforming Data
B. Purge Key Figure Data
C. Purge Master Data
D. Purge Key Figure Data Outside Planning Area Planning Horizon

正解：B

解説：
Planning operators in SAP IBP (via the Application Jobs app) manage data, including deletions. The question likely intends "delete key figure data for planning objects" in a version, not the objects themselves, per SAP IBP's terminology.
* Option A: Purge Master DataThis is incorrect. This deletes master data (e.g., Products), not key figure data tied to planning objects in a version.
* Option B: Purge Key Figure Data Outside Planning Area Planning HorizonThis is incorrect. This deletes data outside the horizon across versions, not specific to a version's planning objects.
* Option C: Purge Key Figure DataThis is correct. The Purge Key Figure Data operator deletes key figure values for specified planning objects (e.g., by filter) in a selected version, per SAP IBP's data management documentation.
* Option D: Purge Non-Conforming DataThis is incorrect. This removes inconsistent data (e.g., orphaned records), not targeted deletion in a version.
Thus, C is the correct operator, per SAP IBP's official job capabilities.

質問 # 18
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. You can add (or delete) planning objects to a planning view after these filters are applied
B. You can only apply one value-based filter per planning view
C. These filters can be used together with attribute totals in the same planning view
D. The alerts dashboard is not available if a value-based filter is set for the open planning view

正解：A、C

解説：
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.

質問 # 19
You need to define a new logic for a key figure to drive values from the PERPRODCUSTREGION level to the PERPRODCUST level. Which of the following configuration options are possible for this process? Note:
There are 2 correct answers to this question.

A. Splitting the values from detailed to aggregated level by using a copy operator
B. Splitting the values from aggregated to detailed level, based on the time profile attribute
C. Splitting the values from aggregated to detailed level, based on a stored split-factor key figure
D. Splitting the values from aggregated to detailed level using multiplication by the proportions

正解：C、D

解説：
In SAP IBP, key figure calculations often involve disaggregation or aggregation across planning levels. Here, the task is to distribute (disaggregate) values from a higher aggregation level (PERPRODCUSTREGION, i.e., Product-Customer-Region) to a more detailed level (PERPRODCUST, i.e., Product-Customer). This is a common requirement in supply chain planning to allocate regional data to individual customer levels.
* Option A: Splitting the values from detailed to aggregated level by using a copy operatorThis is incorrect because the question specifies moving from PERPRODCUSTREGION (aggregated) to PERPRODCUST (detailed), not the reverse. A copy operator typically copies values without transformation, and aggregation moves data upward, not downward.
* Option B: Splitting the values from aggregated to detailed level using multiplication by the proportionsThis is correct. In SAP IBP, disaggregation can use proportional factors to split aggregated data. For example, if PERPRODCUSTREGION has a total value (e.g., 100 units), it can be distributed to PERPRODCUST based on predefined proportions (e.g., Customer A gets 60%, Customer B gets
40%). This is configured in the key figure's disaggregation settings using a proportional calculation, a standard feature in SAP IBP's time-series planning.
* Option C: Splitting the values from aggregated to detailed level, based on the time profile attributeThis is incorrect. Time profile attributes (e.g., week, month) govern temporal granularity, not the structural disaggregation between planning levels like PERPRODCUSTREGION and PERPRODCUST. Disaggregation in SAP IBP is driven by key figure settings, not time profile attributes directly.
* Option D: Splitting the values from aggregated to detailed level, based on a stored split-factor key figureThis is correct. SAP IBP supports disaggregation using a stored key figure as a split factor. For instance, a key figure like "Customer Distribution Ratio" (stored at PERPRODCUST) can define how the aggregated value (e.g., 100 units at PERPRODCUSTREGION) is split (e.g., 70 units to Customer A, 30 units to Customer B). This method is widely used in SAP IBP for precise, data-driven disaggregation, as documented in SAP's configuration guides.
Thus, B and D align with SAP IBP's disaggregation capabilities, leveraging proportions or stored split factors to move data from an aggregated to a detailed level.

質問 # 20
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