CERTIFIED SUPPLY CHAIN
PROFESSIONAL CSCP
PRACTICE EXAM
COMPLETE
Question 1: A product has monthly demand of 100, 120, and 140 units for the last three months. What is the three-month simple moving-average forecast for next month?
Choices:
1) 120 units 2) 110 units 3) 130 units 4) 140 units
Correct Answer: 120 units
Explanation: A three-month simple moving average is (100 + 120 + 140) / 3 = 120 units.Page 1
Question 2: A planner uses exponential smoothing with alpha 0.30. The prior
forecast was 500 units and actual demand was 560 units. What is the new forecast?
Choices:
1) 530 units 2) 518 units 3) 542 units 4) 560 units
Correct Answer: 518 units
Explanation: New forecast = prior forecast + alpha × (actual − prior forecast) = 500 + 0.30 × 60 = 518 units.
Question 3: A forecast consistently exceeds actual demand over many periods.
Which condition is present?
Choices:
1) Perfectly unbiased error 2) Random variation only 3) Positive bias toward overforecasting 4) Negative bias toward underforecasting
Correct Answer: Positive bias toward overforecasting
Explanation: When forecasts are systematically higher than actual demand, the forecast has a positive or overforecasting bias rather than random error.Page 2
Question 4: Which demand pattern is best modeled by a method that explicitly
accounts for recurring peaks every December?
Choices:
1) Level demand 2) Intermittent demand 3) Random demand 4) Seasonal demand
Correct Answer: Seasonal demand
Explanation: A recurring pattern tied to the same period each year is seasonality, so the forecast should include a seasonal component.Question 5: A company is launching a product unlike anything it has sold before and has little historical data. Which forecasting approach is most appropriate initially?
Choices:
1) Delphi or expert judgment 2) Simple moving average of the new item 3) Trend projection based only on the new item 4) Naive forecast using last month
Correct Answer: Delphi or expert judgment
Explanation: For a new product with little or no history, qualitative methods such as expert judgment or Delphi are more appropriate than history-dependent quantitative methods.Page 3