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Oracle Planning and Collaboration Cloud 2026 Implementation Professional Sample Questions:

1. Which KPIs are available to measure forecasting accuracy and specify how these measures aggregated from item-organization level to higher levels.

A) MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MFE is aggregated using sum.
B) MAPE, MAD, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MAD is aggregated using sum.
C) MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and MFE are aggregated using weighted average. Bias is aggregated using sum.
D) MAPE, MAD, and Bias are used to measure forecast accuracy. MAD and Bias are aggregated using sum. MAPE is aggregated using weighted average.

2. Which statement is NOT true about item attributes?

A) Some item attributes can be overridden directly in the Items table for simulation purposes.
B) The "forecast control" item attribute must be assigned if configure-to-order (CTO) items are being planned.
C) Many item attributes can be overridden as part of a simulation set that gets applied to a plan.
D) Supply plans ignore items with the "planning method" attribute set to MPP.

3. Your client has a requirement to restrict Supply Plan data access. Identify three Data Access Set detail entities that can be used to restrict plan data access. (Choose three.)

A) Material Planner
B) Customer
C) Demand Class
D) Transaction Type
E) Item
F) Supplier

4. Which statement is NOT true about item attributes?

A) Some item attributes can be overridden directly in the Items table for simulation purposes.
B) The "forecast control" item attribute must be assigned if configure-to-order (CTO) items are being planned.
C) Many item attributes can be overridden as part of a simulation set that gets applied to a plan.
D) Supply plans ignore items with the "planning method" attribute set to MPP.

5. Demand is high leading up to the Christmas holiday every year between Dec 20 and Dec 24 and not on Christmas day (Dec 25). Your customer has two demand plans. Describe the steps to model Christmas causal factor in both demand plans.

A) Open a demand plan and add a new customer specific Christmas causal factor. Create a table displaying the causal factor measure and relevant time period and modify as required. Causal factor changes in this demand plan will reflect in the 2nd demand plan also.
B) Use FBDI to create a new customer specific Christmas causal factor. Place value of 1 from Dec 20 to Dec 34. Causal factor upload to one demand plan will reflect in the 2nd demand plan also.
C) Open a demand plan and edit Christmas casual factor measure. Place value of one from Dec 20 to Dec 24 and zero for non-impacted days including Dec 25. Causal factor changes in this demand plan will reflect in the 2nd demand plan also.
D) Open a demand plan and add a new customer specific Christmas causal factor. Create a table displaying the causal factor measure and relevant time period and modify as required. Causal factor changes are plan specific, so repeat the steps in the 2nd demand plan.
E) Use FBDI to create a new customer specific Christmas causal factor. Place value of 1 from Dec 20 to Dec 24. Causal factor changes are plan specific, so repeat the steps in the 2nd demand plan.
F) Open a demand plan and edit Christmas casual factor measure. Place value of one from Dec 20 to Dec 24 and zero for non-impacted days including Dec 25. Causal factor changes are plan specific, so repeat the steps in the 2nd demand plan.

Solutions: