MySQL mcq questions and answers | MySQL MCQs

This question asks about how adding more memory to a computer affects the configuration of a database server's cache.

Caches are temporary storage areas used by a database to speed up access to frequently used data. A larger cache means more data can be stored in memory, reducing the need to access slower storage devices.

Installing more memory gives the database server more space to store data, including cache.

Therefore, the answer is Option A: True.

By adding more memory, you can configure larger values for the database server's cache, which can significantly improve performance.

This question is asking about how the WHERE clause in a MySQL statement filters data.
The BETWEEN operator in the WHERE clause is used to select values within a specific range.
In this case, the statement is:

SELECT customer_id, product_id, avail_balance
FROM account
WHERE avail_balance BETWEEN 3000 AND 5000.

This means it will select all the rows from the "account" table where the value in the "avail_balance" column is greater than or equal to 3000 and less than or equal to 5000. Therefore, the correct answer is:
Option A: Only those details will be shown whose available balance form 3000 to 5000

This question asks about how MySQL's FULLTEXT indexes work.
FULLTEXT indexes are used to search for words within text columns, making it much faster to find data.
However, to make things efficient, MySQL needs to decide which words are important enough to index.

The answer is Option A: ft_min_word_len.
This parameter sets the minimum length of words that MySQL will index.
For example, if ft_min_word_len is set to 3, then words like "cat", "dog", and "the" would be indexed, but words like "a" or "is" would be ignored.

The other options are incorrect:
* Option B: ft_min_len_word and Option D: ft_word_len_word are not valid MySQL parameters.
* Option C: ft_word_min_len is a similar parameter, but it is used to control the minimum length of words used in boolean fulltext searches.
So, remember that ft_min_word_len is the key parameter that determines which words get indexed in your FULLTEXT indexes!

This question is asking about the specific privilege you need in MySQL to create stored functions or procedures.

Stored functions and procedures are like mini-programs you can store within your database. They can be used to perform actions that you might repeat often, making your code more efficient and organized.

Here's a breakdown of the options:

Option A: CREATE ROUTINE - This is the correct answer. It grants you the permission to create both stored functions and stored procedures.
Option B: CREATE METHOD - This option is not used in MySQL for creating stored functions or procedures.
Option C: CREATE FUNCTION - This option only grants you the permission to create stored functions, not stored procedures.
Option D: CREATE PROCEDURE - This option only grants you the permission to create stored procedures, not stored functions.

So, if you want to be able to create both stored functions and procedures in your MySQL database, you need the CREATE ROUTINE privilege.

This question asks about the MySQL data type that can hold the longest strings. Let's break down the options:
Option A: CHAR - This type stores fixed-length strings, meaning you specify the maximum length when creating the column.
Option B: VARCHAR - This type stores variable-length strings, allowing you to specify the maximum length but using only the space needed for the actual data.
Option C: TINYTEXT - This type stores text strings up to 255 characters.
Option D: TEXT - This type stores text strings up to 65,535 characters.

Now, comparing the options, TEXT has the largest storage capacity for strings.
Therefore, the answer is Option D: TEXT.

This question asks about how MySQL's REGEXP operator works with character sets and collations.

Collations are sets of rules that determine how characters are compared and sorted. They can impact things like case sensitivity and the order of characters.

REGEXP, short for Regular Expressions, is a powerful tool used for pattern matching in strings. It allows you to search for specific patterns within text data.

Now, the question asks if REGEXP considers collation when it performs its pattern matching. The answer is True.

REGEXP does not take collation into account. This means that when you use REGEXP, it matches patterns based on the raw character values, ignoring how those characters would be ordered or compared according to a specific collation.

Let's illustrate with a simple example:
Suppose you have a string "hello world" and you want to search for "hello".
If you use REGEXP, it will find a match even if the string was stored with a collation that treats "h" and "H" as equivalent. REGEXP looks for the exact character sequence "hello", regardless of the collation rules.

In short, when using REGEXP in MySQL, you're dealing with raw character matching, not taking into account any collation settings.

This SQL statement is asking the database to show us some information about a specific person. Let's break it down:
SELECT person_id, fname, lname - This part tells the database which columns to display. It wants to show us the person_id (a unique ID number for each person), their first name (fname), and their last name (lname).
FROM person - This indicates that we are getting this information from a table called "person".
WHERE person_id=1 - This is the important part! It tells the database to only show us rows where the person_id is equal to 1. This means we will only see the information for one specific person, the one with person_id=1.
So, the correct answer is Option A: Show only columns (person_id, fname, lname) but only those rows which belong to person_id=1.
It will display the information for only the person with the person_id=1 and will only show the columns specified in the SELECT statement.

This question asks you to identify the type of condition used in a MySQL query. The query shown is:

SELECT emp_id, fname, lname
FROM account
WHERE start_date<’2007-10-08’;

Let's break down the parts of this query:
* SELECT emp_id, fname, lname: This part tells the database which columns to retrieve (employee ID, first name, and last name).
* FROM account: This specifies the table where the data is stored.
* WHERE start_date<’2007-10-08’; This is the crucial part! It's a filter that tells the database to only include rows where the "start_date" column is less than '2007-10-08'.
Now, let's look at the options:
* Option A: Equality conditions: Equality conditions use the equal sign (=) to compare values. This is not the case in our query.
* Option B: Inequality condition: Inequality conditions use symbols like <, >, <=, >= to compare values. Our query uses the < symbol, making this the correct answer.
* Option C: Range condition: Range conditions use operators like BETWEEN to specify a range of values. Our query only checks if the date is less than a specific value, not a range.
* Option D: None of the mentioned: We've already determined that Option B is correct.
Therefore, the correct answer is Option B: Inequality condition.

This question is about comparing values in MySQL. Let's break down the options:
Option A: = This operator checks if two values are equal. It's a relative comparison, meaning it compares one value to another.
Option B: == This operator also checks if two values are equal. It's like using '='.
Option C: <= This operator checks if the first value is less than or equal to the second value. It's also a relative comparison.
Option D: >= This operator checks if the first value is greater than or equal to the second value. Another relative comparison.

Since all the options involve comparing values in relation to each other, the answer is None of the above.
Think of it this way: All these operators ( =, ==, <=, >= ) are used to see how one value relates to another.

This question is about how MySQL handles hexadecimal values when they are assigned to user variables.

User variables are like temporary storage containers within your MySQL queries. You can store various data types in them.

Hexadecimal values are numbers written using base-16, with digits 0-9 and letters A-F. They are often used to represent binary data.

Here's how to break down the options:

Option A: strings - This is the correct answer. When you assign a hexadecimal value to a user variable in MySQL, it is treated as a string, meaning it's considered a sequence of characters.

Option B: non binary strings - This is a bit tricky. While the hexadecimal value itself represents binary data, MySQL still treats the user variable as a string, not specifically a "non-binary string."

Option C: binary strings - This is close but not quite accurate. Although the hexadecimal value represents binary data, MySQL doesn't automatically treat it as a special "binary string" type. It's just considered a regular string.

Option D: integers - This is incorrect. Hexadecimal values assigned to user variables are not directly converted to integers.

In summary: When you use hexadecimal values in MySQL user variables, they are stored and treated as strings.