To construct a decision table for recommending a moving vehicle based on the number of bedrooms in the customer's current living space and whether heavy furniture is being moved, the decision table needs to account for these input parameters and provide a corresponding recommendation.

A. Create a column for the recommended moving vehicle: This column will hold the output of the decision table, which is the type of moving vehicle recommended based on the input criteria. This setup allows for a clear and direct presentation of the recommendation to the customer.

D. Create two columns, one for the number of bedrooms and one for whether the customer is moving heavy furniture: These columns will serve as the input conditions for the decision table. By evaluating the values in these columns, the decision table can determine the appropriate moving vehicle recommendation for each unique set of circumstances.

Creating rows for the recommended moving vehicle (B) would not follow the conventional structure of a decision table, where rows typically represent different rule conditions or scenarios rather than outcomes. Creating two rows, one for each input condition (C), misunderstands the structure of decision tables, where conditions are represented as columns and individual scenarios or rule conditions are represented as rows.