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Oracle Planning and Collaboration Cloud 2020 Implementation Essentials Sample Questions:
1. Your customer has seasonal demand and wants to generate forecast for next six months. You ran a demand plan for first time using six months of shipments history but the forecast accuracy was low.
Identify two statements that are true in this scenario. (Choose two.)
A) Running a demand plan with less than one year of history will impact seasonal analysis.
B) Running a demand plan with 18 to 36 months of shipments history is recommended.
C) Running a demand plan with both shipments and booking forecast profile is required to forecast seasonal demand.
D) Running a demand plan with six months of booking history instead of six months of shipment history is required for seasonal demand.
E) Running a demand plan with both shipments and seasonal shipments forecast profile is required to forecast seasonal demand.
2. What happens when a demand planner approves a demand plan and then adjusts shipment history and runs demand plan again?
A) The approve action makes the Adjusted Shipments Forecast and Adjusted Bookings Forecast measures
"not editable." But any subsequent demand plan run can change Final Shipments Forecast and Final Bookings Forecast values.
B) The approve action takes the data from the two final forecast measures and copies to Approved Final Shipments Forecast and Approved Final Bookings Forecast, respectively. Any subsequent demand plan run can change final shipments or bookings forecast values that will automatically update the approved forecast measures.
C) The approve action takes the data from the two final forecast measures and copies to Approved Final Shipments Forecast and Approved Final Bookings Forecast, respectively. After a forecast is approved, the approved values remain unchanged until the forecast is approved again.
D) The approve action makes the Adjusted Shipments Forecast and Adjusted Bookings Forecast measures
"not editable." After a forecast is approved, the Final Shipments Forecast and Final Bookings Forecast measures remain unchanged until the forecast is approved again.
3. Your customer wants to display a numeric measure in both pound and kilogram Units of Measure (UOM) on a table. Describe the configuration steps to display a measure in two UOMs.
A) Open a table and select View, Format Measures to find the measure. Now select pound as primary UOM and kilogram as secondary UOM.
B) Open a table and select Actions, View Table Configuration and click UOM tab. Select primary UOM as pound and secondary UOM as kilogram.
C) 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.
D) 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.
4. Another planner has previously created a supply plan, but you now need to make some changes so that you can do some 'what-if' analysis. How can you go about duplicating this plan?
A) You cannot duplicate a plan that is not owned by you.
B) Manage Plans > Search and select supply plan > Actions > Duplicate.
C) Manage Plans > Search and select supply plan > Actions > Edit Plan Options > Select Copy.
D) You cannot duplicate plans. You must create a completely new supply plan.
E) Run process "Duplicate supply plans" with existing plan as parameter.
5. Which KPIs are available to measure forecasting accuracy and specify how these measures aggregated from item-organization level to higher levels.
A) MAPE, MAD, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MAD is aggregated using sum.
B) MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and MFE are aggregated using weighted average. Bias is aggregated using sum.
C) MAPE, MFE, and Bias are used to measure forecast accuracy. MAPE and Bias are aggregated using weighted average. MFE 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.
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |



