A data engineer is creating a database field to capture whether a customer likes vanilla ice cream. Which of the following data types is the best to capture this information?
Comprehensive and Detailed In-Depth
When designing a database field to capture a binary preference, such as whether a customer likes vanilla ice cream, the most appropriate data type is:
Option B:Boolean
Rationale:A Boolean data type is used to represent binary values, typically TRUE or FALSE. In this context, it efficiently captures whether a customer likes (TRUE) or does not like (FALSE) vanilla ice cream.
Option A:Integer
Rationale:While integers represent whole numbers, using them to denote binary choices (e.g., 1 for 'likes' and 0 for 'dislikes') is less intuitive and can lead to ambiguity without proper context.
Option C:Categorical
Rationale:Categorical data types are used for fields that can take on one of a limited set of values, representing different categories. While 'likes' and 'dislikes' could be categories, a Boolean is more efficient for binary choices.
Option D:Numeric
Rationale:Numeric data types encompass both integers and floating-point numbers. Using a numeric type for a binary preference is unnecessary and could lead to data integrity issues.
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