Schema Evolution in Snowflake: Expert-Level Quiz

Schema Evolution in Snowflake: Expert-Level Quiz

This quiz is designed to test your knowledge of Schema Evolution in Snowflake. The questions range from general concepts to practical applications and coding syntax. This quiz is suitable for those with an advanced understanding of Snowflake and its schema evolution capabilities.

1 / 20

A column in Snowflake can be made NOT NULL by using the ALTER COLUMN command.

2 / 20

In Snowflake, renaming a table requires dropping and recreating the table.

3 / 20

Snowflake supports schema evolution without downtime.

4 / 20

Schema changes in Snowflake automatically invalidate dependent queries.

5 / 20

Adding a column in Snowflake is done using the MODIFY TABLE command.

6 / 20

What is schema evolution in Snowflake?

7 / 20

The ALTER TABLE command is used to change the table schema in Snowflake.

8 / 20

You cannot alter the datatype of an existing column in Snowflake.

9 / 20

Dropping a column in Snowflake will remove all its data permanently.

10 / 20

Columns in a Snowflake table can be renamed using the ALTER TABLE command.

11 / 20

Which feature would you activate to enable historical data retention and recovery in Snowflake?

12 / 20

What is the purpose of the ALTER COLUMN command in Snowflake?

13 / 20

What Snowflake feature allows you to recover schema objects, like tables, even after they are deleted?

14 / 20

Which command is used to rename a schema in Snowflake?

15 / 20

A column's default value can be changed using the SET DEFAULT clause in Snowflake.

16 / 20

To add a primary key to a table, the ADD CONSTRAINT clause is used in Snowflake.

17 / 20

A primary key constraint can be added to an existing table in Snowflake.

18 / 20

Which of the following commands is used to alter a table in Snowflake?

19 / 20

You can add a unique constraint to a column using the MODIFY COLUMN command.

20 / 20

In Snowflake, changing a column’s name is done using the RENAME TABLE command.

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This quiz is designed to test expert-level knowledge of schema evolution in Snowflake. Schema evolution refers to the management of schema changes over time. Thus enabling seamless integration and transformation of data in Snowflake databases. 

The questions cover key concepts, best practices, and Snowflake-specific syntax related to schema modifications, table versioning, data type alterations, and migration strategies. 

You’ll be assessed on theoretical knowledge, practical application, and correct usage of code in Snowflake SQL.

Good luck.