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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q21-Q26):

NEW QUESTION # 21
What is taken as an input for the demand sensing process? Note: There are 2 correct answers to this question.

A. Results of time series analysis
B. Consensus Demand
C. Forecast Accuracy measures
D. Open Sales Orders

Answer: B,D

Explanation:
Demand Sensing in SAP IBP refines short-term forecasts using real-time data, per SAP IBP's demand sensing documentation.
* Option A: Results of time series analysisThis is incorrect. Time series analysis (statistical forecast) is an input to demand planning, not sensing, which adjusts based on current signals.
* Option B: Forecast Accuracy measuresThis is incorrect. Accuracy measures evaluate forecasts, not serve as direct inputs to sensing.
* Option C: Open Sales OrdersThis is correct. Open sales orders provide real-time demand signals, a key input to demand sensing, per SAP IBP's documentation.
* Option D: Consensus DemandThis is correct. The Consensus Demand Plan (from S&OP) is a baseline input, adjusted by sensing with short-term data, per SAP IBP's process.
Thus, C and D are inputs, per SAP IBP's official demand sensing scope.

NEW QUESTION # 22
What function would you use to configure a year-to-date calculation?

A. Dynamic Rolling Aggregation
B. Last Period Aggregation
C. Cumulative Aggregation
D. Rolling Aggregation

Answer: C

Explanation:
A year-to-date (YTD) calculation in SAP IBP sums values from the start of the year to the current period, a common time-series requirement.
* Option A: Rolling AggregationThis is incorrect. Rolling aggregation typically refers to a moving window (e.g., last 3 months), not a fixed YTD scope.
* Option B: Last Period AggregationThis is incorrect. Last period aggregation focuses on the most recent period, not a cumulative YTD total.
* Option C: Cumulative AggregationThis is correct. The CUMULATE function in SAP IBP (e.g., KF2
= CUMULATE(KF1)) calculates a running total from the start of the horizon (e.g., year) to each period, ideal for YTD, per SAP IBP's calculation documentation.
* Option D: Dynamic Rolling AggregationThis is incorrect. Dynamic rolling implies a flexible window, not a fixed YTD accumulation.
Thus, C is the correct function for a YTD calculation, per SAP IBP's official capabilities.

NEW QUESTION # 23
You have set up a planning area, and data is now available. You adjust the necessary time profile settings and run a consistency check. Which settings can you change and still run a successful consistency check? Note:
There are 2 correct answers to this question.

A. Change the past and future horizon of the level in the time profile
B. Change the description of an attribute in the time profile
C. Add a new time profile level to the time profile
D. Change the numbering hierarchy of the period IDs in the time profile

Answer: A,B

Explanation:
The consistency check in SAP IBP ensures the planning area's configuration (e.g., time profile, key figures) is valid. Changes to the time profile must maintain structural integrity, as per SAP IBP'sconfiguration rules.
* Option A: Add a new time profile level to the time profileThis is incorrect. Adding a new level (e.g., quarter) requires updating key figure planning levels and data, potentially breaking consistency until fully aligned.
* Option B: Change the numbering hierarchy of the period IDs in the time profileThis is incorrect.
Altering period ID numbering (e.g., PERIODID0 to PERIODID1) disrupts existing data mappings, causing consistency check failures.
* Option C: Change the past and future horizon of the level in the time profileThis is correct.
Adjusting the horizon (e.g., extending from 12 to 24 months) affects data visibility but not structural consistency, allowing a successful check, per SAP IBP's time profile documentation.
* Option D: Change the description of an attribute in the time profileThis is correct. The description (e.g., "Week" to "Weekly") is metadata and doesn't impact data integrity, ensuring a successful consistency check, per SAP IBP's configuration flexibility.
Thus, C and D are safe changes, per SAP IBP's official consistency check behavior.

NEW QUESTION # 24
What does ABC/XYZ segmentation allow you to do? Note: There are 2 correct answers to this question.

A. Choose time-independent key figures as segmentation measures
B. Substitute missing values in case of sporadic demands
C. Use forecasting algorithms that are specific to seasonal demands of SKUs in the segment "B"
D. Identify inventory items that require closer attention

Answer: A,D

Explanation:
ABC/XYZ segmentation in SAP IBP is a demand planning tool to classify products based on value (ABC, e.
g., revenue contribution) and demand variability (XYZ, e.g., forecast accuracy). It's used to prioritize planning efforts and optimize inventory.
* Option A: Substitute missing values in case of sporadic demandsThis is incorrect. ABC/XYZ segmentation classifies products but doesn't inherently substitute missing values. Sporadic demand handling is managed by demand sensing or specific forecast models, not segmentation itself.
* Option B: Choose time-independent key figures as segmentation measuresThis is correct. In SAP IBP, segmentation measures (e.g., sales value for ABC, coefficient of variation for XYZ) can be time- independent key figures (e.g., total annual revenue, average variability). These are configured in the ABC/XYZ Segmentation app, allowing static or dynamic analysis, as per SAP's demand planning documentation.
* Option C: Identify inventory items that require closer attentionThis is correct. ABC classifies high- value items (A) versus low-value (C), while XYZ identifies stable (X) versus erratic (Z) demand.
Combining them (e.g., AX = high-value, stable) highlights items needing focus (e.g., AZ = high-value, erratic), aiding inventory and planning prioritization-a core feature of SAP IBP segmentation.
* Option D: Use forecasting algorithms that are specific to seasonal demands of SKUs in the segment "B"This is incorrect. ABC/XYZ segmentation doesn't directly dictate forecasting algorithms or tie them to specific segments like "B" (moderate value). Forecast models (e.g., seasonalARIMA) are configured separately in demand planning, not as a segmentation output.
Thus, B and C reflect SAP IBP's ABC/XYZ segmentation capabilities per official documentation.

NEW QUESTION # 25
What are some of the key capabilities of SAP Integrated Business Planning for demand? Note: There are 3 correct answers to this question.

A. Determination of coefficient of variation (CV)
B. Statistical analysis using the predictive analytics tools
C. Automated, exception-based processing
D. Classifying demand into zones
E. Embedded, on-the-fly demand analytics

Answer: A,C,E

Explanation:
SAP IBP for Demand enhances demand planning with advanced features, per SAP IBP's demand module documentation.
* Option A: Automated, exception-based processingThis is correct. Automated forecasting with exception handling (e.g., alerts for outliers) is a core capability, per SAP IBP's demand planning features.
* Option B: Statistical analysis using the predictive analytics toolsThis is incorrect. Predictive analytics (e.g., machine learning) is available via SAP HANA integration, not a native IBP Demand tool.
* Option C: Determination of coefficient of variation (CV)This is correct. CV (variability measure) is calculated in ABC/XYZ segmentation and demand analysis, a standard feature, per SAP IBP's documentation.
* Option D: Classifying demand into zonesThis is incorrect. "Zones" is not a standard demand classification in SAP IBP; ABC/XYZ segmentation is used instead.
* Option E: Embedded, on-the-fly demand analyticsThis is correct. Real-time analytics (e.g., in Excel or Planner Workspaces) provide instant demand insights, per SAP IBP's demand capabilities.
Thus, A, C, and E are key capabilities, per SAP IBP's official demand planning scope.

NEW QUESTION # 26
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