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SAP C-IBP-2502 Study Dumps, Exam C-IBP-2502 Duration
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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q54-Q59):
NEW QUESTION # 54
Which constraints are taken into account by the Time-Series-Based Supply Planning Heuristic (Infinite)?
Note: There are 3 correct answers to this question.
Answer: A,B,D
Explanation:
The Time-Series-Based Supply Planning Heuristic (Infinite) in SAP IBP generates an unconstrained supply plan, ignoring capacity limits (e.g., resource availability) but respecting logistical and material constraints.
"Infinite" indicates infinite capacity, not infinite disregard for all constraints.
* Option A: Adjusted transportation receiptsThis is correct. Adjusted transportation receipts (e.g., confirmed receipts adjusted for delays)are considered as inputs to ensure the heuristic aligns supply with available stock movements, a standard feature in SAP IBP's time-series planning.
* Option B: Aggregated constraintsThis is incorrect. Aggregated constraints (e.g., total capacity across locations) imply finite limits, which the infinite heuristic does not enforce. It focuses on detailed, not aggregated, constraints.
* Option C: Maximum lot sizeThis is incorrect. While maximum lot size is a constraint in finite heuristics or optimization, the infinite heuristic does not cap production or transportation quantities, focusing instead on minimums and lead times.
* Option D: Transportation lead timeThis is correct. The heuristic respects transportation lead times (from Transportation Lane master data) to schedule supply receipts accurately across the planning horizon, a core logistical constraint in SAP IBP.
* Option E: Minimum lot sizeThis is correct. Minimum lot size (from Production Source or Transportation Lane) ensures that planned quantities meet minimum thresholds, a constraint enforced even in infinite planning to reflect realistic batch sizes.
Thus, A, D, and E are constraints respected by the Time-Series-Based Supply Planning Heuristic (Infinite), per SAP IBP's supply planning 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.
Answer: C,D
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
For which of the following application jobs can you enter planning filters as parameters? Note: There are 2 correct answers to this question.
Answer: B,C
Explanation:
Application jobs in SAP IBP (via the Application Jobs app) automate tasks, and some allow planning filters to limit their scope.
* Option A: Purge Master DataThis is correct. The Purge Master Data job accepts planning filters (e.g., specific Products or Locations) to selectively delete master data, per SAP IBP's job documentation.
* Option B: Purge Key Figure DataThis is correct. The Purge Key Figure Data job uses planning filters to target specific keyfigure data (e.g., by Region), a standard feature, per SAP IBP's data management guides.
* Option C: Purge Non-Conforming DataThis is incorrect. This job removes inconsistent data (e.g., orphaned records), but it doesn't use planning filters as parameters; it's system-driven.
* Option D: Create Time Periods for Time ProfilesThis is incorrect. This job generates time periods for a time profile and doesn't involve planning filters, which apply to planning objects, not time setup.
Thus, A and B support planning filters, per SAP IBP's official job capabilities.
NEW QUESTION # 57
What actions can be performed in the Advanced Dashboards application? Note: There are 3 correct answers to this question.
Answer: B,D,E
Explanation:
The Advanced Dashboards app in SAP IBP creates customizable dashboards with analytical charts,per SAP IBP's visualization documentation.
* Option A: Use drill-down functionalityThis is correct. Drill-down (e.g., from region to product) is supported in charts, enhancing analysis, per SAP IBP's features.
* Option B: Add process instancesThis is incorrect. Process instances relate to process management (e.
g., Process Automation app), not dashboard actions.
* Option C: Link two analytics chartsThis is incorrect. Linking charts (e.g., synchronized filters) is more a feature of Analytics Stories, not Advanced Dashboards directly.
* Option D: Rename the chartsThis is correct. Users can rename charts in the dashboard for clarity, a standard customization, per SAP IBP's documentation.
* Option E: Display all assigned analytics on a single UIThis is correct. The app consolidates assigned charts into one dashboard UI, a core feature, per SAP IBP's guides.
Thus, A, D, and E are actions, per SAP IBP's official Advanced Dashboards capabilities.
NEW QUESTION # 58
Which Supply Planning processes are part of the tactical planning level within a planning hierarchy? Note:
There are 2 correct answers to this question.
Answer: A,B
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 # 59
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