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One common design problem when designing a database from existing data is the use of a single cell in one column to store multiple values of an attribute.

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Correct Answer: False

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More Questions from Database Design Using Normalization

One common design problem when designing a database from existing data is the presence of missing values, called blank values, in received data.
We use the SQL construct COLUMNS(*) to determine the number and type of columns in a table.
We can eliminate modification anomalies with proper normalization that results in tables in BCNF.
When building a database from an existing set of tables, we may safely assume that there are no multivalued dependencies in the data we are given.
We have normalized a table into BCNF if all candidate keys are determinants.
When building a database from an existing set of tables, we still need to consider normalization principles.
Multivalued dependencies create harmless anomalies that should be noted, but do not always need to be eliminated.
Proper normalization eliminates duplicated data.
When you are given a set of tables and asked to create a database to store their data, the first step is to create the new database.
One common design problem when designing a database from existing data is the presence of inconsistent values in the received data.

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