Free PDF 2025 Perfect SAP C-IBP-2502 Updated CBT
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Pass Guaranteed 2025 SAP C-IBP-2502: Pass-Sure SAP Certified Associate - SAP IBP for Supply Chain Updated CBT
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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q56-Q61):
NEW QUESTION # 56
What are some of the prerequisites for configuring a planning area that results in a successful consistency check? Note: There are 2 correct answers to this question.
Answer: B,D
Explanation:
A successful consistency check in SAP IBP ensures the planning area's configuration is valid, per SAP IBP's documentation.
* Option A: Configure at least one calculated key figure for the planning areaThis is incorrect.
Calculated key figures are optional; a planning area can function with only stored key figures.
* Option B: Specify a planning horizon in the planning area for each level of the assigned time profileThis is correct. The planning horizon (e.g., past/future periods) must align with the time profile levels (e.g., week, month) for data consistency, a prerequisite, per SAP IBP's setup.
* Option C: Configure at most two input key figures on the same planning level in a key figure calculationThis is incorrect. There's no such limit; calculations can use multiple inputs, depending on complexity.
* Option D: Assign the compound master data type and its component master data typesThis is correct. Compound types (e.g., SOURCECUSTOMER) and their components (e.g., Customer, Location) must be assigned for network consistency, per SAP IBP's documentation.
Thus, B and D are prerequisites, per SAP IBP's official consistency check requirements.
NEW QUESTION # 57
Which of the following is a feature of Transportation Load Building (TLB)?
Answer: B
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 # 58
What is a feature of the weighted average key figure calculation?
Answer: B
Explanation:
Weighted average calculations in SAP IBP (e.g., KF3 = SUM(KF1 * KF2) / SUM(KF2)) use a weight key figure, configured in the Planning Areas app, per SAP IBP's documentation.
* Option A: The numerator of the calculation should be storedThis is incorrect. The numerator (e.g., value * weight) is calculated, not necessarily stored.
* Option B: The first parameter of the formula acts as a weightThis is incorrect. The weight is explicitly defined (e.g., KF2), not assumed as the first parameter.
* Option C: Attributes can be used in weighted average key figure calculationThis is incorrect.
Attributes as key figures provide static values, but weights are typically key figures, not attributes directly.
* Option D: The numerator's value should include multiplication by the weightThis is correct. In a weighted average (e.g., (KF1 * KF2) / SUM(KF2)), the numerator multiplies the value (KF1) by the weight (KF2), a defining feature, per SAP IBP's calculation rules.
Thus, D is the correct feature, per SAP IBP's official calculation logic.
NEW QUESTION # 59
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.
Answer: A,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 # 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.
Answer: B,C
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
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