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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q51-Q56):
NEW QUESTION # 51
You are starting a new implementation project for SAP IBP and are considering the possible system architecture. What are the possible approaches for setting up the system landscape? Note: There are 2 correct answers to this question.
Answer: B,C
Explanation:
SAP IBP's system landscape defines how development, testing, and production environments are structured.
Best practices align with SAP's implementation methodology (e.g., SAP Activate).
* Option A: Set up a two-tier landscape and have the configuration for the development system regularly updated from the production systemThis is incorrect. A two-tier landscape (e.g., development and production) is possible but updating development from production reverses the standard flow (development # production). This risks overwriting development work and isn't a recommended approach.
* Option B: Create additional planning areas in the test system to support training needsThis is correct. Planning areas in SAP IBP are tenant-specific configurations. Creating additional planning areas in the test system (e.g., for sandboxing or training) is a practical approach to simulate scenarios without affecting production, as supported by SAP IBP's flexible architecture.
* Option C: Create additional test planning areas in the production system to support cutover needs This is incorrect. Adding test planning areas in production risks data integrity and performance during cutover. Testing should occur in a separate environment, not production.
* Option D: Set up a three-tier landscape using transport, starting from the development system to test and productionThis is correct. A three-tier landscape (development # test # production) with transport mechanisms (e.g., configuration packages) is SAP IBP's standard architecture. It ensures controlled deployment, testing, and go-live, per SAP's implementation guidelines.
Thus, B and D are valid system landscape approaches in SAP IBP, reflecting practical and standard deployment strategies.
NEW QUESTION # 52
Which of the following data can be tracked using a change-history-enabled key figure? Note: There are 3 correct answers to this question.
Answer: B,C,E
Explanation:
Change-history-enabled key figures in SAP IBP track modifications to values, logging details for auditability, configured in the Planning Areas app. The tracked data is defined by SAP IBP's change history functionality, per official documentation.
* Option A: Scenario IDThis is incorrect. Scenario ID identifies the planning scenario, but it's not tracked in key figure change history; it's a context, not a change detail.
* Option B: Modified codeThis is correct. "Modified code" (likely intended as "modification code" or user ID) tracks who made the change, a standard field in SAP IBP's change log.
* Option C: AttributesThis is correct. Changed attribute values (e.g., Product ID, Location ID) tied to the key figure's planning level are tracked, per SAP IBP's documentation.
* Option D: Key figure typeThis is incorrect. Key figure type (e.g., stored, calculated) is a configuration setting, not a dynamic value tracked in change history.
* Option E: Reason codeThis is correct. Reason codes (e.g., manual adjustment justification) can be logged with changes, a feature in SAP IBP's Excel UI and change history, per official guides.
Thus, B, C, and E are tracked data elements, per SAP IBP's change history capabilities.
NEW QUESTION # 53
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.
Answer: C,D
Explanation:
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.
NEW QUESTION # 54
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: B,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 # 55
You set up time-series integration using SAP Cloud Integration for Data Services. During the integration process of master data, an error occurred. In the Data Integration app the job failed with the status "Fatal Error." How can you find more details about the error?
Answer: D
Explanation:
SAP Cloud Integration for Data Services (CI-DS) integrates master data into SAP IBP, with errors logged in the Data Integration Jobs app, per SAP IBP's integration documentation.
* Option A: Navigate to the Master Data Workbook in Excel and open the LogThis is incorrect. The Excel Master Data Workbook doesn't provide integration job logs; it's for manual maintenance.
* Option B: Navigate to the Manage Master Data app and open the LogThis is incorrect. The Manage Master Data app manages data, not integration job logs.
* Option C: Download the Initial Problem Report in the Data Integration appThis is correct. The Data Integration Jobs app provides detailed error reports (e.g., "Initial Problem Report") for failed jobs like "Fatal Error," per SAP IBP's troubleshooting guides.
* Option D: Download the Rejection Report in the Data Integration appThis is incorrect. The Rejection Report details rejected records, not the full error context of a "Fatal Error." Thus, C is the correct method, per SAP IBP's official integration error handling.
NEW QUESTION # 56
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