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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q25-Q30):

NEW QUESTION # 25
You want to maintain key figure values for a new attribute and value combination, using SAP IBP, add-in for Microsoft Excel, and you are receiving an error related to missing combinations. How can you resolve this problem? Note: There are 2 correct answers to this question.

A. Use the Manage Master Data app to create missing combinations
B. Use the Data Integration app to upload the missing combinations
C. Use the function New Planning Object in Excel UI to create missing combination
D. Use the Copy Operator to create the missing combinations

Answer: B,C

Explanation:
Errors for missing combinations in SAP IBP Excel occur when key figure data references non-existent planning objects (e.g., Product-Location pairs), per SAP IBP's documentation.
* Option A: Use the Data Integration app to upload the missing combinationsThis is correct. The Data Integration Jobs app can import new planning object combinations (e.g., via CSV), resolving the error, per SAP IBP's data management guides.
* Option B: Use the Manage Master Data app to create missing combinationsThis is incorrect. The Manage Master Data app edits existing master data, not compound combinations directly for planning objects.
* Option C: Use the function New Planning Object in Excel UI to create missing combinationThis is correct. The "New Planning Object" feature in the Excel add-in creates missing combinations (e.g., PERPRODLOC) on the fly, per SAP IBP's Excel capabilities.
* Option D: Use the Copy Operator to create the missing combinationsThis is incorrect. The Copy Operator transfers key figure data, not creates new planning object combinations.
Thus, A and C resolve the issue, per SAP IBP's official tools and processes.

NEW QUESTION # 26
You are working with inventory key figures. What are some of the business scenarios where you can use the Last Period Aggregation function? Note: There are 2 correct answers to this question.

A. Calculating the value of inventory on a weekly basis, using static aggregation from the daily level
B. Calculating the value of inventory on any level from the time profile, ensuring flexibility of calculation
C. Searching for and returning the last not-null value of the inventory key figure
D. Calculating how many periods inventory is going to last based on the planned demand

Answer: C,D

Explanation:
The Last Period Aggregation function (LASTPERIOD) in SAP IBP retrieves the most recent value in a time horizon for a key figure, useful for inventory analysis. Its applications align with SAP IBP's calculation capabilities.
* Option A: Calculating the value of inventory on a weekly basis, using static aggregation from the daily levelThis is incorrect. Static aggregation (e.g., sum, average) across periods isn't what LASTPERIOD does; it returns the last period's value, not an aggregate.
* Option B: Calculating how many periods inventory is going to last based on the planned demand This is correct. Using the last period's inventory value (via LASTPERIOD) divided by planned demand can estimate inventory duration, a common scenario in inventory planning, per SAP IBP's documentation.
* Option C: Searching for and returning the last not-null value of the inventory key figureThis is correct. LASTPERIOD retrieves the most recent non-null value in the horizon, ideal for tracking current inventory levels, per SAP IBP's calculation guides.
* Option D: Calculating the value of inventory on any level from the time profile, ensuring flexibility of calculationThis is incorrect. LASTPERIOD is time-specific (last period), not flexible across all levels; it's not a general aggregation method.
Thus, B and C are valid scenarios for Last Period Aggregation, per SAP IBP's official use cases.

NEW QUESTION # 27
What option is available for the key figure that is enabled for fixing?

A. Fixing is possible for key figures with negative values
B. You can change a fixed key figure only with administrative rights
C. Fixing is possible for a part of a key figure value on a certain planning level
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 # 28
What is an example of a commonly used time-independent key figure?

A. A currency conversion key figure, such as Exchange Rate
B. Any attribute as a key figure
C. A special key figure marked as an aggregate key figure (aggregate constraint)
D. A unit of measure key figure, such as UoM Conversion Factor

Answer: B

Explanation:
In SAP IBP, key figures can be time-dependent (e.g., forecast quantities over weeks) or time-independent (static values not tied to time periods). Time-independent key figures are often used for constants or attributes in planning calculations.
* Option A: A special key figure marked as an aggregate key figure (aggregate constraint)This is incorrect. Aggregate key figures (e.g., summing demand across products) are typically time-dependent, as they reflect data over a planning horizon, not static values.
* Option B: A unit of measure key figure, such as UoM Conversion FactorThis is incorrect in this context. While UoM Conversion Factor is time-independent (e.g., 1 kg = 1000 g), it's technically a master data attribute, not a key figure in SAP IBP's standard terminology. Key figures are editable or calculated, whereas UoM factors are static settings.
* Option C: Any attribute as a key figureThis is correct. In SAP IBP, attributes (e.g., Product Category, Customer Priority) can be configured as time-independent key figures via the "Attribute as Key Figure" feature. For example, a Product's "Safety Stock Target" could be a static key figure used across all periods, a common practice in supply planning, as per SAP IBP's configuration options.
* Option D: A currency conversion key figure, such as Exchange RateThis is incorrect. Exchange rates can vary over time (e.g., monthly rates), making them time-dependent in most cases. Even if static, they're typically master data or external inputs, not a "commonly used" key figure example in SAP IBP.
Thus, C is the best example of a commonly used time-independent key figure, aligning with SAP IBP's flexibility to model attributes as static key figures.

NEW QUESTION # 29
What are the S&OP operator (optimizer) parameters associated with demand fair share?

A. Number of fair share segments, Additional tiering costs (default), Maximum inventory
B. Number of fair share segments, Additional tiering costs (default), Number of fair share segments late delivery
C. Number of fair share segments, Maximum days of coverage, Number of fair share segments late delivery
D. Number of fair share segments, Additional tiering costs (default), Inventory days of supply

Answer: B

Explanation:
In SAP IBP for Sales and Operations Planning (S&OP), the Time-Series-Based Supply Optimizer uses "fair share" logic to distribute limited supply across demand, with specific parameters configured in the S&OP Operator Profiles app.
* Option A: Number of fair share segments, Maximum days of coverage, Number of fair share segments late deliveryThis is incorrect. "Maximum days of coverage" is not a fair share parameter; it's more relevant to inventory planning.
* Option B: Number of fair share segments, Additional tiering costs (default), Number of fair share segments late deliveryThis is correct. The optimizer uses:
* Number of fair share segments: Defines priority tiers for demand allocation (e.g., high-priority customers).
* Additional tiering costs (default): Cost penalties for deviating from fair share across tiers.
* Number of fair share segments late delivery: Segments for late delivery prioritization.These align with SAP IBP's fair share optimization settings, per official documentation.
* Option C: Number of fair share segments, Additional tiering costs (default), Maximum inventory This is incorrect. "Maximum inventory" is an inventory constraint, not a fair share parameter.
* Option D: Number of fair share segments, Additional tiering costs (default), Inventory days of supplyThis is incorrect. "Inventory days of supply" is an inventory metric, not a direct fair share parameter.
Thus, B is the correct set of fair share parameters, per SAP IBP's optimizer configuration.

NEW QUESTION # 30
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