WGU C215 Operations Management -
Objective Assessment Prep Guide &
Terminologies Combo Study Guide
Question 1
A type of process that operates continually to produce a high volume of a fully
standardized product.
Correct Answer
Continuous Processes
Page 1 of 206
,Question 2
small groups of employees and supervisors trained in problem-solving techniques
who meet to identify, analyze, and propose solutions to workplace problems
Correct Answer
problem-solving teams
Question 1: Which of the following time horizons is typically used for
aggregate planning and workforce scheduling in operations management?
A. Short-range (up to 1 year, usually less than 3 months)
B. Medium-range (3 months to 3 years)
C. Long-range (3 years or more)
D. Immediate (daily to weekly)
CORRECT ANSWER: B. Medium-range (3 months to 3 years)
Rationale: Medium-range forecasts, typically spanning 3 months to 3 years,
are essential for sales and operations planning, aggregate planning, and
workforce scheduling.
Question 2: A company is launching a highly innovative product with no
historical sales data. Which forecasting approach is most appropriate?
A. Exponential smoothing
B. Moving averages
C. Delphi method
D. Trend projection
CORRECT ANSWER: C. Delphi method
Rationale: The Delphi method is a qualitative forecasting technique that
relies on expert consensus, making it ideal for new products lacking historical
data.
Question 3: In a simple moving average forecast, what happens to the
forecast's responsiveness to recent changes in demand as the number of
periods (n) increases?
A. Responsiveness increases significantly
B. Responsiveness decreases, making the forecast smoother
C. Responsiveness remains constant regardless of n
D. The forecast becomes completely inaccurate
CORRECT ANSWER: B. Responsiveness decreases, making the forecast
smoother
Rationale: A larger 'n' averages out more historical data, which smooths
random variations but reduces responsiveness to sudden shifts in underlying
demand.
Page 2 of 206
,Question 4: Which forecasting error metric is most useful for comparing
forecast accuracy across different products with vastly different demand
volumes?
A. Mean Absolute Deviation (MAD)
B. Mean Squared Error (MSE)
C. Mean Absolute Percent Error (MAPE)
D. Cumulative Forecast Error (CFE)
CORRECT ANSWER: C. Mean Absolute Percent Error (MAPE)
Rationale: MAPE expresses the error as a percentage of the actual demand,
allowing for meaningful comparisons between items with different scales of
volume.
Question 5: What does a positive tracking signal indicate about a
forecasting model's performance over time?
A. The model is perfectly accurate
B. The model is consistently underestimating actual demand
C. The model is consistently overestimating actual demand
D. The model has a high degree of random variation
CORRECT ANSWER: B. The model is consistently underestimating actual
demand
Rationale: A positive tracking signal means the cumulative forecast error
(Actual - Forecast) is positive, indicating that actual demand is consistently
higher than the forecasted amount.
Question 6: In exponential smoothing, what is the effect of setting the
smoothing constant (alpha) to a value close to 1.0?
A. The forecast will heavily weight older historical data
B. The forecast will change very slowly over time
C. The forecast will react almost immediately to the most recent actual
demand
D. The forecast will ignore the most recent actual demand entirely
CORRECT ANSWER: C. The forecast will react almost immediately to the
most recent actual demand
Rationale: An alpha close to 1.0 applies the highest weight to the most
recent observation, making the forecast highly responsive to recent changes.
Question 7: Which of the following is considered a causal (associative)
forecasting model?
A. Naive approach
B. Weighted moving average
C. Linear regression
D. Exponential smoothing
Page 3 of 206
, CORRECT ANSWER: C. Linear regression
Rationale: Linear regression is an associative model that predicts a
dependent variable based on one or more independent variables (e.g.,
predicting sales based on advertising spend).
Question 8: What component of a time series reflects a gradual, long-term
upward or downward movement in the data?
A. Seasonality
B. Cycles
C. Trend
D. Random variations
CORRECT ANSWER: C. Trend
Rationale: Trend represents the long-term, gradual progression (upward or
downward) in a time series, often driven by factors like population growth or
technological shifts.
Question 9: Which forecasting technique involves gathering a panel of
experts who remain anonymous to each other while answering
questionnaires in multiple rounds?
A. Jury of executive opinion
B. Sales force composite
C. Delphi method
D. Consumer market survey
CORRECT ANSWER: C. Delphi method
Rationale: The Delphi method ensures anonymity among experts to prevent
dominant personalities from swaying the group, using iterative rounds to
reach a consensus.
Question 10: If the correlation coefficient (r) between two variables is -0.85,
what does this indicate?
A. A weak positive relationship
B. A strong negative relationship
C. No relationship exists
D. A perfect positive relationship
CORRECT ANSWER: B. A strong negative relationship
Rationale: A correlation coefficient close to -1.0 indicates a strong inverse
(negative) relationship, where one variable increases as the other decreases.
Question 11: Which qualitative forecasting method relies on the collective
judgment of high-level management and executives?
A. Delphi method
B. Jury of executive opinion
Page 4 of 206
Objective Assessment Prep Guide &
Terminologies Combo Study Guide
Question 1
A type of process that operates continually to produce a high volume of a fully
standardized product.
Correct Answer
Continuous Processes
Page 1 of 206
,Question 2
small groups of employees and supervisors trained in problem-solving techniques
who meet to identify, analyze, and propose solutions to workplace problems
Correct Answer
problem-solving teams
Question 1: Which of the following time horizons is typically used for
aggregate planning and workforce scheduling in operations management?
A. Short-range (up to 1 year, usually less than 3 months)
B. Medium-range (3 months to 3 years)
C. Long-range (3 years or more)
D. Immediate (daily to weekly)
CORRECT ANSWER: B. Medium-range (3 months to 3 years)
Rationale: Medium-range forecasts, typically spanning 3 months to 3 years,
are essential for sales and operations planning, aggregate planning, and
workforce scheduling.
Question 2: A company is launching a highly innovative product with no
historical sales data. Which forecasting approach is most appropriate?
A. Exponential smoothing
B. Moving averages
C. Delphi method
D. Trend projection
CORRECT ANSWER: C. Delphi method
Rationale: The Delphi method is a qualitative forecasting technique that
relies on expert consensus, making it ideal for new products lacking historical
data.
Question 3: In a simple moving average forecast, what happens to the
forecast's responsiveness to recent changes in demand as the number of
periods (n) increases?
A. Responsiveness increases significantly
B. Responsiveness decreases, making the forecast smoother
C. Responsiveness remains constant regardless of n
D. The forecast becomes completely inaccurate
CORRECT ANSWER: B. Responsiveness decreases, making the forecast
smoother
Rationale: A larger 'n' averages out more historical data, which smooths
random variations but reduces responsiveness to sudden shifts in underlying
demand.
Page 2 of 206
,Question 4: Which forecasting error metric is most useful for comparing
forecast accuracy across different products with vastly different demand
volumes?
A. Mean Absolute Deviation (MAD)
B. Mean Squared Error (MSE)
C. Mean Absolute Percent Error (MAPE)
D. Cumulative Forecast Error (CFE)
CORRECT ANSWER: C. Mean Absolute Percent Error (MAPE)
Rationale: MAPE expresses the error as a percentage of the actual demand,
allowing for meaningful comparisons between items with different scales of
volume.
Question 5: What does a positive tracking signal indicate about a
forecasting model's performance over time?
A. The model is perfectly accurate
B. The model is consistently underestimating actual demand
C. The model is consistently overestimating actual demand
D. The model has a high degree of random variation
CORRECT ANSWER: B. The model is consistently underestimating actual
demand
Rationale: A positive tracking signal means the cumulative forecast error
(Actual - Forecast) is positive, indicating that actual demand is consistently
higher than the forecasted amount.
Question 6: In exponential smoothing, what is the effect of setting the
smoothing constant (alpha) to a value close to 1.0?
A. The forecast will heavily weight older historical data
B. The forecast will change very slowly over time
C. The forecast will react almost immediately to the most recent actual
demand
D. The forecast will ignore the most recent actual demand entirely
CORRECT ANSWER: C. The forecast will react almost immediately to the
most recent actual demand
Rationale: An alpha close to 1.0 applies the highest weight to the most
recent observation, making the forecast highly responsive to recent changes.
Question 7: Which of the following is considered a causal (associative)
forecasting model?
A. Naive approach
B. Weighted moving average
C. Linear regression
D. Exponential smoothing
Page 3 of 206
, CORRECT ANSWER: C. Linear regression
Rationale: Linear regression is an associative model that predicts a
dependent variable based on one or more independent variables (e.g.,
predicting sales based on advertising spend).
Question 8: What component of a time series reflects a gradual, long-term
upward or downward movement in the data?
A. Seasonality
B. Cycles
C. Trend
D. Random variations
CORRECT ANSWER: C. Trend
Rationale: Trend represents the long-term, gradual progression (upward or
downward) in a time series, often driven by factors like population growth or
technological shifts.
Question 9: Which forecasting technique involves gathering a panel of
experts who remain anonymous to each other while answering
questionnaires in multiple rounds?
A. Jury of executive opinion
B. Sales force composite
C. Delphi method
D. Consumer market survey
CORRECT ANSWER: C. Delphi method
Rationale: The Delphi method ensures anonymity among experts to prevent
dominant personalities from swaying the group, using iterative rounds to
reach a consensus.
Question 10: If the correlation coefficient (r) between two variables is -0.85,
what does this indicate?
A. A weak positive relationship
B. A strong negative relationship
C. No relationship exists
D. A perfect positive relationship
CORRECT ANSWER: B. A strong negative relationship
Rationale: A correlation coefficient close to -1.0 indicates a strong inverse
(negative) relationship, where one variable increases as the other decreases.
Question 11: Which qualitative forecasting method relies on the collective
judgment of high-level management and executives?
A. Delphi method
B. Jury of executive opinion
Page 4 of 206
