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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q39-Q44):
NEW QUESTION # 39
You create a planning filter using an SAP IBP Fiori app. Which of the following objects can it be applied to?
Note: There are 2 correct answers to this question.
Answer: C,D
Explanation:
Planning filters in SAP IBP, created via the Manage Planning Filters app (Fiori-based), define subsets of data (e.g., by Product, Location) for use across various applications. Their applicability depends on SAP IBP's functional scope.
* Option A: Planning view templates in the SAP IBP, add-in for Microsoft ExcelThis is correct.
Planning filters can be applied to planning view templates in the Excel add-in to restrict data displayed or edited (e.g., show only products in Region X). This is a core feature for planners, as per SAP IBP's Excel integration documentation.
* Option B: Jobs in the Application Jobs appThis is correct. Planning filters can be parameters in application jobs (e.g., Copy Operator, Purge Data) to limit the scope of data processed (e.g., purge data for specific Locations). This is a standard capability in the Application Jobs app, per SAP IBP's job management guides.
* Option C: Compare function in the Planning Areas appThis is incorrect. The Planning Areas app manages planning area configurations, and while it has a "Compare" function to analyze differences, planning filters are not applied here. Filters are for runtime data, not configuration comparison.
* Option D: Supply chain graph in Supply Chain Network appThis is incorrect. The Supply Chain Network app visualizes the network (e.g., Locations, Transportation Lanes), but planning filters are not directly applied to this graph. Filters affect data views, not network visualizations.
Thus, A and B are the correct objects where planning filters can be applied, per SAP IBP's official functionality.
NEW QUESTION # 40
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,B
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 # 41
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: 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 # 42
You are evaluating criteria for choosing the solver to support planning for a complex supply chain. What are some of the points that should be reviewed? Note: There are 2 correct answers to this question.
Answer: C,D
Explanation:
SAP IBP offers multiple solvers for supply planning: finite heuristics, infinite heuristics, and the optimizer.
Choosing the right solver for a complex supply chain involves evaluating their capabilities.
* Option A: Finite heuristics work with demand prioritizationThis is correct. Finite heuristics respect capacity constraints and can prioritize demand (e.g., based on priority rules or fair share settings), making them suitable for complex scenarios, as per SAP IBP's supply planning documentation.
* Option B: Push and Pull production models are used by the optimizerThis is correct. The optimizer supports both push (supply-driven) and pull (demand-driven) models, optimizing production and inventory across the network, a key feature for complex supply chains, per SAP IBP's optimizer capabilities.
* Option C: Prioritization of demand elements one by one is achieved by unconstrained heuristics This is incorrect. Infinite (unconstrained) heuristics ignore capacity and don't prioritize demand sequentially; they plan supply assuming unlimited resources, unlike finite methods.
* Option D: Planning results can be generated faster by the optimizerThis is incorrect. The optimizer, while powerful, is typically slower than heuristics due to its complex constraint-solving, not faster, per SAP IBP's performance comparisons.
Thus, A and B are critical review points for solver selection, per SAP IBP's official solver descriptions.
NEW QUESTION # 43
What do you need to be aware of when using multiple pairs of key figures in one copy operator? Note: There are 2 correct answers to this question.
Answer: B,C
Explanation:
The Copy Operator in SAP IBP transfers data between key figures, supporting multiple source-target pairs in one run. Its behavior is defined by SAP IBP's data management rules.
* Option A: Copying multiple key figures can be processed sequentiallyThis is correct. When multiple pairs are defined, the Copy Operator processes them sequentially within the job, ensuring dependencies are respected, per SAP IBP's operator documentation.
* Option B: Copying multiple key figures on different planning levels is not possibleThis is incorrect.
The Copy Operator supports different planning levels (e.g., PERPROD to PERPRODLOC), adjusting aggregation/disaggregation as needed.
* Option C: Necessary source key figures values are disaggregatedThis is incorrect. Source key figures are copied as-is; disaggregation occurs on the target side if required, not the source.
* Option D: Necessary target key figures values are disaggregatedThis is correct. If the target key figure's planning level is more detailed than the source, SAP IBP disaggregates values (e.g., using proportional factors), a standard behavior, per documentation.
Thus, A and D are key considerations for the Copy Operator, per SAP IBP's official rules.
NEW QUESTION # 44
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