QUESTION: 13

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.

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.
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.
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.
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.
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.
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.

Answer(s): A

Reference:

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QUESTION: 14

You are a demand planner and you want to generate forecast for all laptop and desktop products in the US business unit. You are using standard enterprise and product hierarchy. You have created a demand plan and now you must define plan scope.

Identify three valid steps. (Choose three.)

For plan parameters, select forecasting calendar as Gregorian and time level as week.
For forecasting items, select hierarchy as product, level as category level 1, and laptop and desktop categories as level members.
For plan parameters, select forecasting calendar as Gregorian and time level as month.
For plan organizations, select hierarchy as enterprise, level as country, and US as level member.
For forecasting items, select hierarchy as product, level as product, and all laptop and desktop products as level members.
For plan organizations, select hierarchy as enterprise, level as business unit, and US and level member.

Answer(s): A,B,D

Explanation:

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QUESTION: 15

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?

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

Answer(s): C

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QUESTION: 16

When analyzing demand fulfillment, what are the three types of recommendations that users can review and accept for expediting? (Choose three.)

Expedite transfer orders
Expedite make orders
Expedite buy orders
Expedite drop ship orders
Expedite make to stock orders

Answer(s): A,B,C

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Free Oracle 1Z0-1066-23 Exam Questions (page: 5)

QUESTION: 13

Reference:

QUESTION: 14

Explanation:

QUESTION: 15

QUESTION: 16

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