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SAP Certified Associate - SAP IBP for Supply Chain Sample Questions (Q65-Q70):
NEW QUESTION # 65
Which constraints are taken into account by the Time-Series-Based Supply Planning Heuristic (Infinite)?
Note: There are 3 correct answers to this question.
Answer: B,C,D
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 # 66
Which of the following is a feature of Transportation Load Building (TLB)?
Answer: A
Explanation:
Transportation Load Building (TLB) in SAP IBP (part of Supply Chain Control Tower or integration with SAP TM) optimizes the consolidation of shipments into transportation loads based on constraints like capacity and rules.
* Option A: Loads are calculated based on transportation lanes and modes of transportThis is partially true but not the defining feature. TLB considers lanes and modes (e.g., truck, rail) as inputs, but its core function is grouping shipments, not merely calculating based on these. It's too generic to be the standout feature.
* Option B: Loads are integrated into SAP ERP or SAP S/4HANA as distribution receiptsThis is incorrect. TLB focuses on planning loads within SAP IBP or TM, not direct integration into ERP
/S4HANA as "distribution receipts." Integration might occur downstream, but it's not a TLB feature.
* Option C: It uses rule-based planning to create transportation loadsThis is correct. TLB employs configurable rules (e.g., maximum weight, volume, compatibility) to consolidate shipments into loads.
For example, it might ensure a truck's capacity is fully utilized while respecting delivery windows, a hallmark of TLB in SAP IBP's supply planning capabilities, as per official documentation.
* Option D: Loads are calculated based on the minimum utilization of equipmentThis is incorrect.
TLB aims to maximize, not minimize, equipment utilization to reducecosts. Minimum utilization might be a constraint, but it's not the calculation basis.
Thus, C is the defining feature of TLB, reflecting its rule-based approach, consistent with SAP IBP's supply chain optimization tools.
NEW QUESTION # 67
What function would you use to configure a year-to-date calculation?
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 # 68
You are evaluating criteria for choosing the solver to support planning for a complex supply chain. What are some of the points that should be reviewed? Note: There are 2 correct answers to this question.
Answer: A,B
Explanation:
SAP IBP offers multiple solvers for supply planning: finite heuristics, infinite heuristics, and the optimizer.
Choosing the right solver for a complex supply chain involves evaluating their capabilities.
* Option A: Finite heuristics work with demand prioritizationThis is correct. Finite heuristics respect capacity constraints and can prioritize demand (e.g., based on priority rules or fair share settings), making them suitable for complex scenarios, as per SAP IBP's supply planning documentation.
* Option B: Push and Pull production models are used by the optimizerThis is correct. The optimizer supports both push (supply-driven) and pull (demand-driven) models, optimizing production and inventory across the network, a key feature for complex supply chains, per SAP IBP's optimizer capabilities.
* Option C: Prioritization of demand elements one by one is achieved by unconstrained heuristics This is incorrect. Infinite (unconstrained) heuristics ignore capacity and don't prioritize demand sequentially; they plan supply assuming unlimited resources, unlike finite methods.
* Option D: Planning results can be generated faster by the optimizerThis is incorrect. The optimizer, while powerful, is typically slower than heuristics due to its complex constraint-solving, not faster, per SAP IBP's performance comparisons.
Thus, A and B are critical review points for solver selection, per SAP IBP's official solver descriptions.
NEW QUESTION # 69
You are setting up planning with lot sizes. What are some of the properties of lot sizes that you need to be aware of? Note: There are 2 correct answers to this question.
Answer: B,D
Explanation:
Lot sizes in SAP IBP are critical for supply planning, defining the minimum or fixed quantities for production or transportation to optimize resource use and costs. They are typically configured as master data attributes in planning areas supporting time-series-based supply planning.
* Option A: Lot sizes are applicable for production and handling quantitiesThis is misleading. In SAP IBP, lot sizes apply to production (e.g., Production Source of Supply) and transportation (e.g., Transportation Lane), but "handling quantities" is not a standard term in SAP IBP's supply planning context. Handling might imply warehouse operations, which are out of scope for lot size settings.
* Option B: Periodic lot size setting overrides the minimum lot sizeThis is incorrect. SAP IBP does not define "periodic lot size" as overriding minimum lot size in its standard configuration. Minimum lot size (e.g., Minimum Production Lot Size) is a fixed constraint enforced by the supply planning heuristic or optimizer, and periodic settings (e.g., planning frequency) do not override it.
* Option C: Lot sizes are time-independent master data settingsThis is correct. In SAP IBP, lot sizes (e.g., Minimum Lot Size, Maximum Lot Size) are defined as attributes of master data types like Production Source of Supply or Transportation Lane. These are static, time-independent values unless explicitly modeled as time-dependent key figures, which is not the default behavior. This aligns with SAP IBP's master data framework.
* Option D: Lot sizes are applicable for production and transportation quantitiesThis is correct.
SAP IBP's supply planning supports lot sizes for both production (e.g., via Production Source Header) and transportation (e.g., via Transportation Lane). For example, a minimum lot size ensures that production runs or shipments meet a threshold, optimizing efficiency, as per SAP IBP's supply planning documentation.
Thus, C and D accurately reflect SAP IBP's lot size properties, emphasizing their role as time-independent master data affecting production and transportation.
NEW QUESTION # 70
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