Views that depend on a single table can be updated.
An update of a view created from more than one table will not be allowed by SQL.
There should be no NULL values in the fields of view.
All of the above
D. All of the above
DROP
DELETE
ALTER
None of the above
Using this command, you can remove or erase recorded information from a database table.
It enables you to create new databases, tables, table views, and other objects using this command.
Inserting records or data into the database tables is accomplished with this command. In addition to inserting records in single rows, we can insert records in multiple rows as well.
A single or multiple rows can be accessed using this command from one or more tables of a database. Using the WHERE clause with this command is also possible.
ADD
MERGE
CONCAT
None of the above
Exported
Imported
Changed
Saved
Primary Key
Unique Key
Composite Key
Foreign Key
Relational
Logical
Additional
Unique
Returns only Distinct values.
Only on the single column, it operates.
It can be used with the aggregates such as COUNT, AVG, etc.
All of the above
REMOVE
DELETE
DROP
DEL
With the DDL commands, any structural changes can be made to the table, including creation, deletion, and alteration.
With the DML commands, any structural changes can be made to the table, including creation, deletion, and alteration.
With the DCL commands, any structural changes can be made to the table, including creation, deletion, and alteration.
With the TCL commands, any structural changes can be made to the table, including creation, deletion, and alteration.
DATE()
NOW()
TIME()
DATETIME()
Strings
Numbers
Both A. and B.
None of the above
Following the completion of a transaction, it must be executed to save all the operations performed in the transaction.
A transaction can be rolled back to its last saved state.
A specific part of a transaction can be given a name
None of the above
CONNECT
ADD
COMBINE
CONCAT
FROM
TO
WHERE
IN
Tables
WHERE Conditions
Expressions
None of the above
Interdependent
Intradependent
Integration
Integrity
Finds any values that start with or
Finds any value that contains only four characters and second, third characters are 'o', 'r'
Finds any values that have or in any position
None of the above
IF
AS
WHERE
EXCEPT
HAVING
GROUP BY
ORDER BY
None of the above
TRUNCATE TABLE is faster than DELETE TABLE statement.
TRUNCATE TABLE uses fewer resources than DELETE TABLE statement.
Both A) and B)
None of the above
The stored data in the SQL database is changed or modified by this SQL statement.
By deleting the stored data, this SQL statement deletes the database.
A new table in SQL is created using this SQL statement.
Columns in the SQL database can be created, deleted, or modified with this SQL statement.
Data is read from the SQL database by this statement and displayed to the database user.
The stored data in the SQL database is changed or modified by this SQL statement.
By deleting the stored data, this SQL statement deletes the database.
A new table in SQL is created using this SQL statement.
ROUND()
MID()
FORMAT()
NOW()
SELECT
WHERE
Both A and B
None of the above
SELECT Statement
UPDATE Statement
TRUNCATE TABLE Statement
FROM Statement
At the run time, the SQL*Plus commands are ignored.
SQL Scripts and SQL Commands in the SQL Scripts have no interaction.
Through the SQL Script editor, SQL Commands are cut and pasted.
All of the above
DATE
TIME
MONTH
DATE & TIME
The primary key value, table name, and column name are characteristics that allow us to access the precise data (atomic value) logically from a relational database.
Null values are treated in database records according to this rule.
Database systems must update all views tables on a regular basis.
Databases contain a wide variety of information, and each row and column of each table must hold this information.
In order to return the rows in a specific order, ORDER BY Clause is used.
In order to group the rows, ORDER BY Clause is used.
In order to select the defined groups, ORDER BY Clause is used.
None of the above
If p comes between 0 to 25, data type becomes FLOAT(). If p comes between 26 to 54, data type becomes DOUBLE().
If p comes between 26 to 54, data type becomes FLOAT(). If p comes between 0 to 25, data type becomes DOUBLE().
If p comes between 25 to 53, data type becomes FLOAT(). If p comes between 0 to 24, data type becomes DOUBLE().
If p comes between 0 to 24, data type becomes FLOAT(). If p comes between 25 to 53, data type becomes DOUBLE().