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C-IBP-2502模擬対策、C-IBP-2502練習問題集
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C-IBP-2502練習問題集、C-IBP-2502資格取得
C-IBP-2502認定試験は現在で本当に人気がある試験ですね。まだこの試験の認定資格を取っていないあなたも試験を受ける予定があるのでしょうか。確かに、これは困難な試験です。しかし、難しいといっても、高い点数を取って楽に試験に合格できないというわけではないです。では、まだ試験に合格するショートカットがわからないあなたは、受験のテクニックを知りたいですか。今教えてあげますよ。それはJPTestKingのC-IBP-2502問題集を利用することです。
SAP Certified Associate - SAP IBP for Supply Chain 認定 C-IBP-2502 試験問題 (Q67-Q72):
質問 # 67
Which of the following key functions are supported by SAP IBP for sales and operations? Note: There are 2 correct answers to this question.
- A. Simple statistical forecast
- B. Multi-level supply planning heuristics
- C. SAP Product Lifecycle Management
- D. Allocation planning
正解:A、B
解説:
SAP IBP for Sales and Operations Planning (S&OP) supports demand, supply, and inventory alignment. Key functions are defined by its modules.
* Option A: Allocation planningThis is incorrect. Allocation planning is specific to SAP IBP for Response and Supply (order-based), not the S&OP module, which focuses on time-series planning.
* Option B: Simple statistical forecastThis is correct. S&OP includes demand planning with simple statistical forecasts (e.g., moving average, exponential smoothing), a core function, per SAP IBP's demand documentation.
* Option C: Multi-level supply planning heuristicsThis is correct. S&OP supports multi-level supply planning via heuristics (e.g., infinite/finite) to balance supply across the network, a key feature, per SAP IBP's supply planning guides.
* Option D: SAP Product Lifecycle ManagementThis is incorrect. SAP PLM is a separate system, not a function of SAP IBP S&OP, though IBP can integrate with lifecycle data.
Thus, B and C are supported S&OP functions, per SAP IBP's official scope.
質問 # 68
What function would you use to configure a year-to-date calculation?
- A. Rolling Aggregation
- B. Cumulative Aggregation
- C. Last Period Aggregation
- D. Dynamic Rolling Aggregation
正解:B
解説:
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.
質問 # 69
Which unified planning processes' data is commonly reviewed in SAP IBP for sales and operations? Note:
There are 2 correct answers to this question.
- A. Constrained Demand Plan
- B. Consensus Demand Plan
- C. Global Demand Plan
- D. Inventory Plan
正解:B、D
解説:
SAP IBP for Sales and Operations Planning (S&OP) unifies demand, supply, and inventory processes, with key data reviewed in the S&OP cycle, per SAP IBP's S&OP documentation.
* Option A: Global Demand PlanThis is incorrect. "Global Demand Plan" is not a standard term in SAP IBP S&OP; it's typically "Consensus Demand Plan" after collaboration.
* Option B: Constrained Demand PlanThis is incorrect. Constrained demand is more relevant to supply planning or response, not the unified S&OP review process.
* Option C: Inventory PlanThis is correct. The Inventory Plan (e.g., safety stock, target inventory) is reviewed in S&OP to ensure alignment with demand and supply, a key unified process, per SAP IBP's documentation.
* Option D: Consensus Demand PlanThis is correct. The Consensus Demand Plan, finalized after S&OP collaboration, is a central data point reviewed to balance supply and inventory, per SAP IBP's S&OP workflow.
Thus, C and D are commonly reviewed in S&OP, per SAP IBP's official processes.
質問 # 70
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. Excess stock can be generated and will need to be staged in an overflow warehouse
- B. Capacity leveling will be possible for production and storage resources
- C. Balance can be achieved between excessive prebuild and minimum use by incorporating violation costs
- D. Minimum capacity utilization will result in pull production
正解:A、C
解説:
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.
質問 # 71
What is an example of a commonly used time-independent key figure?
- A. A special key figure marked as an aggregate key figure (aggregate constraint)
- B. A currency conversion key figure, such as Exchange Rate
- C. Any attribute as a key figure
- D. A unit of measure key figure, such as UoM Conversion Factor
正解:C
解説:
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.
質問 # 72
......
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