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Oracle Planning and Collaboration Cloud 2020 Implementation Essentials Sample Questions:

1. Which three statements are true about a drop ship validation organization? (Choose three.)

A) It is a proxy for the organization during the collections of drop ship sales orders and drop ship history.
B) It is not required in order to use drop shipments.
C) It cannot be an item organization.
D) It can be a Cost Organization.
E) It can be an item organization.
F) It is the source for organization-item attributes when creating drop ship planned orders.

2. A customer would like to account for the production loss in the supply planning process using the item shrinkage rate planning specification.
Which statement reflects the system behavior to meet this requirement?

A) Planning calculation does not support shrinkage functionality.
B) Planning calculates no additional demand but creates the additional required supply based on shrinkage factor.
C) Planning process reduces the demand based on shrinkage factor and keeps the supply quantity as is.
D) Planning calculation creates scrap demand to compensate for loss and maintains supply.

3. Identify two ways you can track performance against goals when defining measure goals. (Choose two.)

A) Aggregation
B) Specification
C) Value
D) Attribute
E) Range
F) Quantity

4. You analyzed your customer's shipment history data at item and organization level. You found that the customer has many new products with limited history.
Does Planning Central support forecasting products with limited history, and what is this process called?

A) Yes, Planning Central supports the Regression for Sparse Demand forecasting method, typically used for new products.
B) No, Planning Central does not support the Croston Method for Sparse Demand forecasting method.
C) No, Planning Central does not support the Holt Exponential Smoothing forecasting method.
D) No, Planning Central does not support the Regression for Sparse Demand forecasting method.
E) Yes, Planning Central supports the Holt Exponential Smoothing forecasting method used for newly introduced products.

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) 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.
B) 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.
C) 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.
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.

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