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SAP C-IBP-2502 Intereactive Testing Engine, New C-IBP-2502 Test Cram

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SAP C-IBP-2502 Exam Syllabus Topics:

Topic
Details

Topic 1

Key Figures & Attributes: This section of the exam measures the skills of supply chain analysts and focuses on the key figures and attributes used in planning. It covers how to define and configure key figures to ensure accurate data representation and decision-making. Candidates are also tested on their ability to manage attributes that support various planning scenarios.

Topic 2

User Interface: This section assesses the knowledge of business users in navigating and utilizing the SAP interface effectively. It covers how to interact with different features, customize views, and leverage UI functionalities for efficient planning and reporting. Candidates are expected to demonstrate proficiency in accessing and interpreting data within the system.

Topic 3

General Configuration of a Planning Area: This section is aimed at SAP solution consultants and covers the configuration of a planning area. It includes defining key planning parameters, setting up structures, and ensuring the system is configured to meet business needs. Candidates will be tested on their ability to customize planning areas for optimal performance.

Topic 4

Model Supply Processes: This section assesses the expertise of supply chain planners in designing and managing supply processes. It includes setting up sourcing, inventory management, and supply constraints. Candidates will be evaluated on their ability to model supply networks and optimize resource allocation.

Topic 5

Model Sales & Operations Processes: This section targets operations managers and evaluates knowledge of sales and operations planning. It covers the alignment of supply and demand, scenario planning, and decision-making processes to optimize operational efficiency. Candidates will be assessed on their ability to configure models that support strategic business goals.

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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which of the following are features of lag-based snapshots? Note: There are 2 correct answers to this question.

A. Target key figures for these snapshots are exposed to the user in planning view
B. Lag-based snapshots are created in the Configuration app for a fixed time range
C. Target key figures for these snapshots must have lag as a root attribute in the base planning level
D. The number of lag-based snapshots are limited to nine levels

Answer: A,C

Explanation:
Lag-based snapshots in SAP IBP capture historical key figure values with a specified time offset (lag), useful for tracking past data (e.g., demand from 3 weeks ago). Their configuration and behavior are defined in SAP IBP's time-series planning framework.
* Option A: The number of lag-based snapshots are limited to nine levelsThis is incorrect. There's no documented limit of nine snapshots in SAP IBP; the number depends on configuration and performance, not a fixed cap.
* Option B: Lag-based snapshots are created in the Configuration app for a fixed time rangeThis is incorrect. Snapshots are configured in the Planning Areas app (via key figure settings), not a generic
"Configuration app," and they dynamically adjust based on lag, not afixed range.
* Option C: Target key figures for these snapshots are exposed to the user in planning viewThis is correct. Lag-based snapshot key figures (e.g., SNAPSHOT_LAG1) are visible and usable in planning views (e.g., Excel), allowing users to analyze historical data, per SAP IBP's documentation.
* Option D: Target key figures for these snapshots must have lag as a root attribute in the base planning levelThis is correct. The lag attribute (e.g., LAG = 1, 2) must be part of the base planning level (e.g., PERPRODLOCLAG) to store snapshot values distinctly, a requirement in SAP IBP's snapshot setup, per official guides.
Thus, C and D are features of lag-based snapshots, per SAP IBP's official functionality.

NEW QUESTION # 20
You need to use your resource cost-effectively with a certain minimum use, even if it means producing more than demand. Which solutions would apply to this scenario? Note: There are 2 correct answers to this question.

A. Minimum capacity utilization will result in pull production
B. Balance can be achieved between excessive prebuild and minimum use by incorporating violation costs
C. Capacity leveling will be possible for production and storage resources
D. Excess stock can be generated and will need to be staged in an overflow warehouse

Answer: B,D

Explanation:
This scenario involves optimizing resource use with a minimum threshold, potentially overproducing, in SAP IBP's supply planning, per its documentation.
* Option A: Excess stock can be generated and will need to be staged in an overflow warehouseThis is correct. Overproduction to meet minimum use generates excess stock, requiring storage (e.g., overflow warehouse), a practical outcome, per SAP IBP's planning behavior.
* Option B: Capacity leveling will be possible for production and storage resourcesThis is incorrect.
Capacity leveling (smoothing production) is a PP/DS feature, not standard in IBP's time-series planning.
* Option C: Balance can be achieved between excessive prebuild and minimum use by incorporating violation costsThis is correct. The Supply Optimizer can balance minimum utilization (via costs) and excess production (via inventory costs), a supported solution, per SAP IBP's optimization features.
* Option D: Minimum capacity utilization will result in pull productionThis is incorrect. Pull production (demand-driven) contradicts producing beyond demand; this scenario aligns with push logic.
Thus, A and C apply, per SAP IBP's official supply planning capabilities.

NEW QUESTION # 21
What are some of the prerequisites for configuring a planning area that results in a successful consistency check? Note: There are 2 correct answers to this question.

A. Specify a planning horizon in the planning area for each level of the assigned time profile
B. Configure at least one calculated key figure for the planning area
C. Configure at most two input key figures on the same planning level in a key figure calculation
D. Assign the compound master data type and its component master data types

Answer: A,D

Explanation:
A successful consistency check in SAP IBP ensures the planning area's configuration is valid, per SAP IBP's documentation.
* Option A: Configure at least one calculated key figure for the planning areaThis is incorrect.
Calculated key figures are optional; a planning area can function with only stored key figures.
* Option B: Specify a planning horizon in the planning area for each level of the assigned time profileThis is correct. The planning horizon (e.g., past/future periods) must align with the time profile levels (e.g., week, month) for data consistency, a prerequisite, per SAP IBP's setup.
* Option C: Configure at most two input key figures on the same planning level in a key figure calculationThis is incorrect. There's no such limit; calculations can use multiple inputs, depending on complexity.
* Option D: Assign the compound master data type and its component master data typesThis is correct. Compound types (e.g., SOURCECUSTOMER) and their components (e.g., Customer, Location) must be assigned for network consistency, per SAP IBP's documentation.
Thus, B and D are prerequisites, per SAP IBP's official consistency check requirements.

NEW QUESTION # 22
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 numbering hierarchy of the period IDs in the time profile
B. Change the description of an attribute in the time profile
C. Change the past and future horizon of the level in the time profile
D. Add a new time profile level to the time profile

Answer: B,C

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 # 23
You are implementing SAP IBP for sales and operations and are researching forecast model algorithms. What are some of the algorithms that can be used? Note: There are 2 correct answers to this question.

A. Data-cleansing algorithms
B. Trend models algorithms
C. Sporadic demand models algorithms
D. Naive models algorithms

Answer: B,D

Explanation:
SAP IBP for Sales and Operations Planning (S&OP) includes demand planning with various statistical forecast algorithms to predict demand in time-series planning.
* Option A: Data-cleansing algorithmsThis is incorrect. Data cleansing (e.g., outlier correction) is a preprocessing step, not a forecast model algorithm in SAP IBP's demand planning engine.
* Option B: Trend models algorithmsThis is correct. Trend models (e.g., linear regression, Holt's method) are supported in SAP IBP to forecast demand with consistent growth or decline patterns, per official demand planning documentation.
* Option C: Sporadic demand models algorithmsThis is incorrect. While sporadic demand (intermittent) is handled (e.g., via Croston's method), it's not a distinct category in SAP IBP's standard algorithm list; it falls under broader models.
* Option D: Naive models algorithmsThis is correct. Naive models (e.g., simple moving average, last period's demand) are basic forecast algorithms in SAP IBP, used for stable demand patterns, per SAP's forecast model library.
Thus, B and D are valid forecast algorithms in SAP IBP for S&OP, per official documentation.

NEW QUESTION # 24
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