1z0-1066-22 Oracle Planning and Collaboration Cloud 2022 Implementation Professional Questions and Answers

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.

Run an unlimited number of forecast simulations to see impacts of changes in the price, running a marketing campaign, shift in weather, demand upside request, and so on.

Simulate changes to the dependent options forecast for build to stock items.

Perform side-by-side analysis on a multiple number of scenarios, and see the impact on operational and financial objectives.

Simulate how changes to forecasting models and parameters have an immediate impact on the statistical forecast.

Simulate the impact of introducing new products in particular geographic areas.

It is the source for organization-item attributes when creating drop ship planned orders.

It can be a Cost Organization.

It is not required in order to use drop shipments.

It cannot be an item organization.

It is a proxy for the organization during the collections of drop ship sales orders and drop ship history.

It can be an item organization.

It does not recognize forecast exceptions.

It reads published planning data from interface tables.

It received supplier commits.

It creates or updates an order forecast, used by Supply Chain Collaboration to publish to suppliers.

Make orders for items being manufactured in the contract manufacturer organization.

Transfer orders for internally owned components being transferred from contract manufacturer to internal organizations.

Transfer orders for internally owned components being transferred from internal organizations to contract manufacturer organizations.

Transfer orders for finished goods being transferred from contract manufacturer organizations to internal organizations.

Buy orders for components purchased at internal organizations and contract manufacturer organizations.

Return orders for items being manufactured in the contract manufacturer organization.

Open a table and select Actions, View Table Configuration and click UOM tab. Select primary UOM as pound and secondary UOM as kilogram.

Open a table and select View, Format Measures to find the measure. Now select pound as primary UOM and kilogram as secondary UOM.

Open a table and select Actions, View Table Configuration and click Measure tab. Find the measure, duplicate the measure, and rename it. Now select pound as UOM for the original measure and kilogram as UOM for the duplicated measure.

Open a table and select View, Format Measures to find the measure. Duplicate the measure and rename it. Now select pound as UOM for the original measure and kilogram as UOM for the duplicated measure.

There is no temporary solution.

Consider safety stock based on a days-of-cover calculation.

Consider a simulation of the supply plan's calculated safety stock.

Use safety stock as demand, until enough shipment history is available.

Manage Planning Analytics

Manage Planning Measures

View Planning Analytics

Manage Metrics

Plan Summary

Adjusted shipments forecast uses measure, target service level uses same value, and shipments forecast uses self.

Adjusted shipments forecast uses proportional, target service level uses same value, and shipments forecast uses measure.

Adjusted shipments forecast uses measure, target service level uses same value, and shipments forecast doesn't have any disaggregation method.

Adjusted shipments forecast uses measure, target service level uses equal, and shipments forecast doesn’t have any disaggregation method.

Adjusted shipments forecast uses equal, target service level uses same value, and shipments forecast uses measure.

Upload the value using File Based Data Import (FBDI)

Enter your value in the Safety Stock Quantity column in the Items page.

Run the Safety Stock Quantity Update Process.

Enter your value in the Safety Stock Quantity Override column in the Items page.

Expedite transfer orders

Expedite make orders

Expedite buy orders

Expedite drop ship orders

Expedite make to stock orders

MAPE, MAD, and Bias are used to measure forecast accuracy. MAD and Bias are aggregated using sum. MAPE is aggregated using weighted average.

MAPE, MAD, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MAD is aggregated using sum.

MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MFE is aggregated using sum.

MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and MFE are aggregated using weighted average. Bias is aggregated using sum.

Yes, if the adjustment is made below the aggregation level at which it is viewed.

Yes,if the adjustment is made at the same aggregation level at which itis viewed, or below.

No, both measures will always be different.

Yes,if the demand plan is approved and values are locked.

Yes,if the demand plan hasn't been run again after adjustment.