Exam 8: Database Redesign

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A correlated subquery,looks very different from a noncorrelated subquery.

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Discuss the role of backup and test databases in database redesign.

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To add a NOT NULL column to a table,we first add a NULL column,then we insert values into every row,and finally we change the NULL constraint to NOT NULL.

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When changing column data types,which of the following data conversions will either usually or always succeed?

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When increasing cardinalities from 1:N to N:M,we basically create a new intersection table,fill it with data and drop the old foreign key.

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When decreasing cardinalities,there will always be ________.

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The EXISTS keyword will be true if any row in the subquery meets the condition.

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In a correlated subquery,the same table is used in the upper and lower SELECT statements.

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When running an SQL query that uses EXISTS,the EXISTS keyword will be true if ________.

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Changing cardinalities ________.

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In a correlated subquery,the DBMS must run the lower SELECT statement as a process that is nested within the upper SELECT statement.

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There is a common trap in writing a correlated subquery,which will cause no rows to ever be displayed in the results.

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To add a NULL column to a table,we simply use the MODIFY TABLE statement.

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When running an SQL query that uses NOT EXISTS,the NOT EXISTS keyword will be true if ________.

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To drop a foreign key column from a table,no preliminary steps are needed and we can simply use the ALTER TABLE DROP COLUMN statement.

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Dependency graphs are graphical displays like bar charts.

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Deleting tables and relationships is basically a matter of dropping foreign key constraints and then dropping the tables.

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To add a NULL column to a table,we ________.

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In a correlated subquery of a database that has tables TableOne and TableTwo,and if table TableOne is used in the upper SELECT statements,then which table is used in the lower SELECT statement?

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The use of a double nested set of NOT EXISTS SELECT statements can be used to find rows that meet some specified condition for every row in a table.

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