Which activity ensures data types are appropriate during model development?

• A. Decide data types
• B. Create indexes on all columns
• C. Remove constraints
• D. Populate sample data

Answer: (A)

Choosing data types is the key action to ensure each column can accurately store the intended values, with appropriate size and precision. When you decide data types early in model development, you prevent issues like storing numbers as text, truncation, and incorrect comparisons, and you set up proper validation and storage behavior. Creating indexes on all columns focuses on query performance rather than data validity. Removing constraints undermines data integrity, allowing invalid or inconsistent data to slip through. Populating sample data helps test how the model behaves, but it doesn’t guarantee that the data types themselves are appropriate for all potential inputs. So, deciding data types directly ensures the data stored and validated throughout the model is correct.