C-IBP-2502 VCE DUMPS: SAP CERTIFIED ASSOCIATE - SAP IBP FOR SUPPLY CHAIN & C-IBP-2502 TEST PREP

C-IBP-2502 VCE dumps: SAP Certified Associate - SAP IBP for Supply Chain & C-IBP-2502 test prep

C-IBP-2502 VCE dumps: SAP Certified Associate - SAP IBP for Supply Chain & C-IBP-2502 test prep

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q31-Q36):

NEW QUESTION # 31
How do you achieve rolling aggregation with SAP IBP?

  • A. Using an appropriate period weight factor
  • B. Using a key figure calculation
  • C. Using an attribute as a key figure
  • D. Using a local member

Answer: B

Explanation:
Rolling aggregation in SAP IBP refers to calculating a cumulative or moving total across a time horizon (e.g., year-to-date sales). This is a common requirement in planning and reporting, achieved through specific configuration methods.
* Option A: Using an attribute as a key figureThis is incorrect. Attributes as key figures provide static values (e.g., Product Category), not dynamic time-based aggregations like rolling totals.
* Option B: Using an appropriate period weight factorThis is incorrect. Period weight factors adjust proportional disaggregation (e.g., splitting monthly data to weeks), not rolling aggregation across periods.
* Option C: Using a key figure calculationThis is correct. Rolling aggregation is achieved in SAP IBP via key figure calculations, such as the CUMULATE function (e.g., KF2 = CUMULATE(KF1)), which sums values from the start of the horizon to the current period. This is configured in the Planning Areas app and is a standard method for time-series calculations, per SAP IBP's official documentation on key figure calculations.
* Option D: Using a local memberThis is incorrect. Local members in the Excel add-in allow ad-hoc calculations within a planning view, but they are user-specific and not a system-configured method for rolling aggregation across the planning area.
Thus, C is the correct method for achieving rolling aggregation, aligning with SAP IBP's calculation capabilities.


NEW QUESTION # 32
Which unified planning processes' data is commonly reviewed in SAP IBP for sales and operations? Note:
There are 2 correct answers to this question.

  • A. Inventory Plan
  • B. Consensus Demand Plan
  • C. Constrained Demand Plan
  • D. Global Demand Plan

Answer: A,B

Explanation:
SAP IBP for Sales and Operations Planning (S&OP) unifies demand, supply, and inventory processes, with key data reviewed in the S&OP cycle, per SAP IBP's S&OP documentation.
* Option A: Global Demand PlanThis is incorrect. "Global Demand Plan" is not a standard term in SAP IBP S&OP; it's typically "Consensus Demand Plan" after collaboration.
* Option B: Constrained Demand PlanThis is incorrect. Constrained demand is more relevant to supply planning or response, not the unified S&OP review process.
* Option C: Inventory PlanThis is correct. The Inventory Plan (e.g., safety stock, target inventory) is reviewed in S&OP to ensure alignment with demand and supply, a key unified process, per SAP IBP's documentation.
* Option D: Consensus Demand PlanThis is correct. The Consensus Demand Plan, finalized after S&OP collaboration, is a central data point reviewed to balance supply and inventory, per SAP IBP's S&OP workflow.
Thus, C and D are commonly reviewed in S&OP, per SAP IBP's official processes.


NEW QUESTION # 33
What are some of the capabilities of the Planner Workspaces app? Note: There are 2 correct answers to this question.

  • A. It supports favorites created in SAP IBP, add-in for Microsoft Excel
  • B. It supports embedding analytic stories as a workspace component
  • C. It supports simulating the effect of the changes
  • D. It supports sharing with other users or user groups

Answer: A,B

Explanation:
The Planner Workspaces app in SAP IBP is a Fiori-based UI that integrates planning tools, analytics, and collaboration features for supply chain planners.
* Option A: It supports simulating the effect of the changesThis is incorrect. While simulation is a feature in SAP IBP (e.g., via versions or scenarios in Excel), Planner Workspaces focuses on visualization and navigation, not direct simulation execution. Simulation occurs in other apps like Excel or Manage Scenarios.
* Option B: It supports favorites created in SAP IBP, add-in for Microsoft ExcelThis is correct.
Planner Workspaces integrates with the Excel add-in, allowing users to access their Excel favorites (e.
g., planning views) directly within the workspace. This enhances usability by linking preferred tools, as per SAP IBP's documentation on Planner Workspaces.
* Option C: It supports embedding analytic stories as a workspace componentThis is correct.
Analytic stories (created in the Manage Analytics Stories app) can be embedded in Planner Workspaces, providing charts and insights alongside planning data. This is a key visualization feature, per SAP IBP's UI capabilities.
* Option D: It supports sharing with other users or user groupsThis is incorrect. Sharing is available in Excel (e.g., templates) or analytics apps, but Planner Workspaces doesn't have a native sharing function for workspaces themselves. Collaboration occurs via other mechanisms.
Thus, B and C are accurate capabilities of Planner Workspaces, aligning with SAP IBP's official feature set.


NEW QUESTION # 34
What option is available for the key figure that is enabled for fixing?

  • A. You can change a fixed key figure only with administrative rights
  • B. Fixing is possible for a part of a key figure value on a certain planning level
  • C. Fixing is possible for key figures with negative values
  • D. Fixing is possible for a certain period, including all child values in the hierarchy

Answer: D

Explanation:
Key figure fixing in SAP IBP allows planners to lock values (e.g., in Excel) to prevent changes during planning runs, a feature in time-series planning.
* Option A: Fixing is possible for key figures with negative valuesThis is incorrect. Fixing applies to any value (positive, negative, zero), but this isn't a specific option or limitation in SAP IBP's fixing functionality.
* Option B: Fixing is possible for a part of a key figure value on a certain planning levelThis is incorrect. Fixing locks the entire value at a planning level, not a portion of it. Partial adjustments require separate key figures or manual edits before fixing.
* Option C: You can change a fixed key figure only with administrative rightsThis is incorrect. Fixed key figures can be unfixed or edited by users with appropriate planning permissions, not just administrators, via the Excel UI.
* Option D: Fixing is possible for a certain period, including all child values in the hierarchyThis is correct. In SAP IBP, fixing a key figure (e.g., Demand Plan Qty) for a period locks that value and propagates the fix to all child levels in the hierarchy (e.g., disaggregated Product-Customer combinations), ensuring consistency, as per SAP IBP's fixing documentation.
Thus, D is the correct option for key figure fixing, reflecting SAP IBP's hierarchical locking mechanism.


NEW QUESTION # 35
Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.

  • A. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem
  • B. Keep the number of fair share segments small
  • C. Increase the use of incremental lot size beyond the frozen horizon
  • D. Split into multiple planning areas to support weekly vs. daily planning needs
  • E. Eliminate the usage of telescopic time buckets

Answer: A,B,E

Explanation:
The Time-Series-Based Supply Optimizer in SAP IBP is a powerful tool for supply planning, but its runtime can be significant due to the complexity of constraints and variables. Reducing runtime involves optimizing the problem size and configuration, as outlined in SAP's performance best practices.
* Option A: Keep the number of fair share segments smallThis is correct. Fair share segments (used in demand prioritization or allocation) increase the optimizer's complexity by adding variables and constraints. Limiting segments (e.g., fewer priority tiers) reduces the computational load, a recommended practice in SAP IBP's optimizer configuration documentation.
* Option B: Split into multiple planning areas to support weekly vs. daily planning needsThis is incorrect. Splitting into multiple planning areas might simplify individual runs but doesn't directly reduce the runtime of a single optimizer run. Planning areas are structural, not runtime-specific, and this approach addresses granularity needs, not performance.
* Option C: Use non-overlapping networks by using Subnetwork ID maintained at Location- Products to reduce the size of the problemThis is correct. Subnetwork IDs (e.g., assigned to Location- Product combinations) partition the supply chain network into smaller, independent subproblems. The optimizer solves these separately, significantly reducing runtime by shrinking the problem scope, as per SAP IBP's network optimization guidelines.
* Option D: Eliminate the usage of telescopic time bucketsThis is correct. Telescopic time buckets (e.
g., daily near-term, weekly mid-term, monthly long-term) increase complexity by requiring the optimizer to handle variable time granularities. Using uniform buckets (e.g., all weekly) simplifies the model and cuts runtime, a known performance tweak in SAP IBP.
* Option E: Increase the use of incremental lot size beyond the frozen horizonThis is incorrect.
Incremental lot sizes affect planning quantities, not optimizer runtime directly. Adjusting lot sizes might influence solution feasibility but doesn't inherently optimize performance.
Thus, A, C, and D are proven methods to reduce time-series optimizer runtimes, per SAP IBP's official performance optimization documentation.


NEW QUESTION # 36
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