Preview Questions Supply Chain Analyst | Role Specific Skill

Question 1: Which of the following is a limitation of using simple linear regression for forecasting energy demand?

Which action should you take?

Choose only one option

It does not capture non-linear relationships between variables

It fails to include external variables like weather data

It requires large datasets for accurate predictions

It cannot account for seasonality

Question 2: How do you determine the optimal forecasting horizon for energy supply chain analysis?

Which action should you take?

Choose only one option

By balancing forecast accuracy with computational constraints

By incorporating external factors like production cycles

By evaluating the time lag of input variables

By applying grid search for different time-period windows

Question 3: What role do input variables play in energy demand forecasting models?

Which action should you take?

Choose only one option

They help in defining supplier lead times

They determine the external factors, such as weather or economic indicators, that impact energy consumption

They represent the historical demand patterns

They are used to adjust the models automatically

Question 4: How do you handle forecasting in a volatile energy market while ensuring accurate supply chain management?

Which action should you take?

Choose only one option

By assuming that the market will behave predictably based on past trends

By using a combination of historical data, market trends, and scenario analysis to adjust forecasts for volatility

By relying solely on historical data without adjusting for market changes

By ignoring external factors such as geopolitical instability and focusing only on internal data

Question 5: What is the key difference between ARIMA and SARIMA models for energy demand forecasting?

Which action should you take?

Choose only one option

ARIMA accounts for external factors, but SARIMA does not

SARIMA includes seasonal components while ARIMA does not

ARIMA uses exponential smoothing, whereas SARIMA does not

SARIMA is more computationally efficient than ARIMA

Question 6: What is the role of lead time reduction in process improvement for energy supply chains?

Which action should you take?

Choose only one option

It focuses only on inventory levels without considering supplier performance

It decreases collaboration with suppliers to reduce lead times

It improves response times, reduces inventory holding costs, and increases supply chain agility

It increases procurement lead times to reduce stockouts