OVERCOME EXAM CHALLENGES WITH TEST4CRAM SAP C-IBP-2502 EXAM QUESTIONS

Overcome Exam Challenges with Test4Cram SAP C-IBP-2502 Exam Questions

Overcome Exam Challenges with Test4Cram SAP C-IBP-2502 Exam Questions

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q53-Q58):

NEW QUESTION # 53
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. Constrained Demand Plan
  • B. Consensus Demand Plan
  • C. Global Demand Plan
  • D. Inventory Plan

Answer: B,D

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 # 54
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. Keep the number of fair share segments small
  • B. Eliminate the usage of telescopic time buckets
  • 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. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem

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 # 55
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 aggregated to detailed level, based on the time profile attribute
  • B. Splitting the values from aggregated to detailed level, based on a stored split-factor key figure
  • C. Splitting the values from aggregated to detailed level using multiplication by the proportions
  • D. Splitting the values from detailed to aggregated level by using a copy operator

Answer: B,C

Explanation:
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.


NEW QUESTION # 56
What are some of the capabilities of the Planner Workspaces app? Note: There are 2 correct answers to this question.

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

Answer: C,D

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 # 57
Which Supply Planning processes are part of the tactical planning level within a planning hierarchy? Note:
There are 2 correct answers to this question.

  • A. Stock Replenishment
  • B. Order Prioritization
  • C. Balancing Supply and Demand
  • D. Inventory Build and Reduction

Answer: C,D

Explanation:
In SAP IBP, the planning hierarchy includes strategic (long-term), tactical (medium-term), and operational (short-term) levels. Tactical planning (e.g., monthly horizon) focuses on mid-term supply chain decisions.
* Option A: Order PrioritizationThis is incorrect. Order prioritization is an operational-level process, typically in SAP IBP for Response and Supply, dealing with short-term order allocation, not tactical planning.
* Option B: Stock ReplenishmentThis is incorrect. Stock replenishment is operational, focusing on short-term actions (e.g., daily/weekly restocking), not tactical mid-term planning.
* Option C: Inventory Build and ReductionThis is correct. Tactical planning involves decisions like building inventory ahead of demand peaks or reducing excess stock over months, aligning with SAP IBP's Inventory Optimization and S&OP processes at this level.
* Option D: Balancing Supply and DemandThis is correct. Balancing supply and demand over a medium-term horizon (e.g., via S&OP or supply heuristics) is a core tactical process in SAP IBP, ensuring resource alignment, per official planning hierarchy definitions.
Thus, C and D are tactical supply planning processes, per SAP IBP's planning framework.


NEW QUESTION # 58
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