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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q48-Q53):

NEW QUESTION # 48
For which of the following application jobs can you enter planning filters as parameters? Note: There are 2 correct answers to this question.

A. Create Time Periods for Time Profiles
B. Purge Master Data
C. Purge Non-Conforming Data
D. Purge Key Figure Data

Answer: B,D

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 # 49
Which options can be used to reduce the runtimes of a time-series optimizer run? Note: There are 3 correct answers to this question.

A. Use non-overlapping networks by using Subnetwork ID maintained at Location-Products to reduce the size of the problem
B. Split into multiple planning areas to support weekly vs. daily planning needs
C. Keep the number of fair share segments small
D. Increase the use of incremental lot size beyond the frozen horizon
E. Eliminate the usage of telescopic time buckets

Answer: A,C,E

Explanation:
The Time-Series-Based Supply Optimizer in SAP IBP is a powerful tool for supply planning, but its runtime can be significant due to the complexity of constraints and variables. Reducing runtime involves optimizing the problem size and configuration, as outlined in SAP's performance best practices.
* Option A: Keep the number of fair share segments smallThis is correct. Fair share segments (used in demand prioritization or allocation) increase the optimizer's complexity by adding variables and constraints. Limiting segments (e.g., fewer priority tiers) reduces the computational load, a recommended practice in SAP IBP's optimizer configuration documentation.
* Option B: Split into multiple planning areas to support weekly vs. daily planning needsThis is incorrect. Splitting into multiple planning areas might simplify individual runs but doesn't directly reduce the runtime of a single optimizer run. Planning areas are structural, not runtime-specific, and this approach addresses granularity needs, not performance.
* Option C: Use non-overlapping networks by using Subnetwork ID maintained at Location- Products to reduce the size of the problemThis is correct. Subnetwork IDs (e.g., assigned to Location- Product combinations) partition the supply chain network into smaller, independent subproblems. The optimizer solves these separately, significantly reducing runtime by shrinking the problem scope, as per SAP IBP's network optimization guidelines.
* Option D: Eliminate the usage of telescopic time bucketsThis is correct. Telescopic time buckets (e.
g., daily near-term, weekly mid-term, monthly long-term) increase complexity by requiring the optimizer to handle variable time granularities. Using uniform buckets (e.g., all weekly) simplifies the model and cuts runtime, a known performance tweak in SAP IBP.
* Option E: Increase the use of incremental lot size beyond the frozen horizonThis is incorrect.
Incremental lot sizes affect planning quantities, not optimizer runtime directly. Adjusting lot sizes might influence solution feasibility but doesn't inherently optimize performance.
Thus, A, C, and D are proven methods to reduce time-series optimizer runtimes, per SAP IBP's official performance optimization documentation.

NEW QUESTION # 50
Which planning operators can be executed in a time-series-based planning area? Note: There are 2 correct answers to this question.

A. Finite Heuristics
B. Shelf Life Heuristics
C. Deployment Optimizer
D. Constrained Forecast Run

Answer: A,D

NEW QUESTION # 51
Which Supply Planning processes are part of the tactical planning level within a planning hierarchy? Note:
There are 2 correct answers to this question.

A. Inventory Build and Reduction
B. Balancing Supply and Demand
C. Stock Replenishment
D. Order Prioritization

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 # 52
You are reviewing the master data types that are often used for supply and inventory planning. Which master data types are compound master data types? Note: There are 2 correct answers to this question.

A. SOURCELOCATION
B. SOURCECUSTOMER
C. SOURCECUSTGROUP
D. SOURCEPRODUCTION

Answer: A,B

Explanation:
In SAP IBP, master data types are classified as simple (standalone) or compound (combining multiple simple types). Compound master data types link related entities (e.g., source and target) and are critical for supply and inventory planning to define relationships.
* Option A: SOURCEPRODUCTIONThis is incorrect. SOURCEPRODUCTION is not a standard compound master data type in SAP IBP. Production relationships are modeled via Production Source of Supply (e.g., Production Source Header/Item), not a compound type named SOURCEPRODUCTION.
* Option B: SOURCECUSTOMERThis is correct. SOURCECUSTOMER is a compound master data type combining Source ID (e.g., Location or Product) and Customer ID. It defines sourcing relationships (e.g., which customers are served from which sources) and is used in supply and inventory planning to allocate demand.
* Option C: SOURCELOCATIONThis is correct. SOURCELOCATION is a compound master data type linking Source Location and Target Location (e.g., via Transportation Lane). It's essential for modeling supply chain networks in inventory and supply planning.
* Option D: SOURCECUSTGROUPThis is incorrect. There's no standard compound master data type called SOURCECUSTGROUP in SAP IBP. Customer groups might be attributes, but they don't form a compound type.
Thus, B and C (SOURCECUSTOMER, SOURCELOCATION) are compound master data types inSAP IBP, as per official master data configuration documentation.

NEW QUESTION # 53
......

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