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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q64-Q69):
NEW QUESTION # 64
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 a stored split-factor key figure
- B. Splitting the values from detailed to aggregated level by using a copy operator
- C. Splitting the values from aggregated to detailed level, based on the time profile attribute
- D. Splitting the values from aggregated to detailed level using multiplication by the proportions
Answer: A,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 # 65
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 embedding analytic stories as a workspace component
- C. It supports favorites created in SAP IBP, add-in for Microsoft Excel
- D. It supports sharing with other users or user groups
Answer: B,C
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 # 66
Which conditions have to be fulfilled as a prerequisite to maintain a key figure disaggregation? Note: There are 2 correct answers to this question.
- A. The key figure is stored and all editable
- B. The key figure is calculated and all editable
- C. The key figure is calculated and system editable
- D. The key figure is stored and system editable
Answer: A,D
Explanation:
Disaggregation in SAP IBP distributes aggregated key figure values to lower levels, configured in the Planning Areas app. Prerequisites depend on the key figure's properties, per SAP IBP's documentation.
* Option A: The key figure is calculated and system editableThis is incorrect. Calculated key figures derive values and aren't typically disaggregated; they're outputs, not inputs for disaggregation.
* Option B: The key figure is calculated and all editableThis is incorrect. Calculated key figures aren't manually editable (all editable), and disaggregation applies to stored key figures.
* Option C: The key figure is stored and system editableThis is correct. A stored key figure (persisted data) that's system editable (e.g., via operators) can be disaggregated, a valid condition, per SAP IBP's rules.
* Option D: The key figure is stored and all editableThis is correct. A stored key figure that's fully editable (e.g., manually in Excel) supports disaggregation, as users can input aggregated values to split, per SAP IBP's documentation.
Thus, C and D are prerequisites, per SAP IBP's official disaggregation requirements.
NEW QUESTION # 67
What is a prerequisite for modeling outsourced manufacturers with production capacity using the Supply Optimizer?
- A. Model relative production costs across internal locations and outsourced manufacturing locations
- B. Model target inventory and stocks at the outsourced manufacturing location
- C. Use production lead times and offsets to manage components at the outsourced manufacturing location
- D. Ensure that the outsourced manufacturing locations have a separate subnetwork
Answer: A
Explanation:
The Supply Optimizer in SAP IBP models outsourced manufacturers as Locations with production capacity, optimizing costs across the network, per SAP IBP's supply planning documentation.
* Option A: Model relative production costs across internal locations and outsourced manufacturing locationsThis is correct. The optimizer requires cost data (e.g., production costs per unit) for internal and outsourced locations to decide where to produce, a key prerequisite, per SAP IBP' s cost optimization rules.
* Option B: Use production lead times and offsets to manage components at the outsourced manufacturing locationThis is incorrect. Lead times and offsets are used, but they're not a prerequisite specific to capacity modeling; they're general planning inputs.
* Option C: Ensure that the outsourced manufacturing locations have a separate subnetworkThis is incorrect. Subnetworks optimize runtime, but they're not required for modeling outsourced capacity; the optimizer works across one network.
* Option D: Model target inventory and stocks at the outsourced manufacturing locationThis is incorrect. Inventory targets are optional and not a prerequisite for capacity modeling in the optimizer.
Thus, A is the prerequisite, per SAP IBP's official optimizer requirements.
NEW QUESTION # 68
Which constraints are taken into account by the Time-Series-Based Supply Planning Heuristic (Infinite)?
Note: There are 3 correct answers to this question.
- A. Aggregated constraints
- B. Maximum lot size
- C. Transportation lead time
- D. Adjusted transportation receipts
- E. Minimum lot size
Answer: C,D,E
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 # 69
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