Why MySQL is widely used - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

Why is MySQL popular for web applications?

Which of the following reasons best explains why MySQL is widely used in web development?

A MySQL requires expensive licenses for small projects.

B MySQL only works on Windows, limiting its use.

C MySQL is open-source and free, making it accessible for many projects.

D MySQL does not support standard SQL queries.

💡 Hint

Think about cost and accessibility for developers.

MySQL is open-source and free, which makes it very popular among developers, especially for web applications.

🧠 Conceptual

intermediate

What feature of MySQL helps it handle many users at once?

Which feature of MySQL allows it to efficiently manage many users accessing the database simultaneously?

A MySQL disables concurrent queries by default.

B MySQL supports multi-threading to handle multiple connections.

C MySQL only allows one user at a time.

D MySQL requires manual locking for every query.

💡 Hint

Think about how databases manage many users at once.

MySQL uses multi-threading to handle many users and queries at the same time efficiently.

❓ query_result

advanced

What is the output of this MySQL query?

Given a table users with columns id and name, what will this query return?

SELECT COUNT(*) FROM users WHERE name LIKE '%a%';

MySQL

CREATE TABLE users (id INT, name VARCHAR(50));
INSERT INTO users VALUES (1, 'Anna'), (2, 'Bob'), (3, 'Maria'), (4, 'John');

A 3

B 2

C 1

D 4

💡 Hint

Count names containing the letter 'a' anywhere.

Names 'Anna', 'Maria', and 'John' contain 'a' (case-insensitive), so count is 3.

❓ schema

advanced

Which MySQL data type is best for storing large text?

You want to store long articles in a MySQL database. Which data type should you choose?

A DATE

B VARCHAR(255)

C INT

D TEXT

💡 Hint

Consider the size and type of data stored.

TEXT type is designed to store large text data, unlike VARCHAR which has size limits.

❓ optimization

expert

How to improve query speed on a large MySQL table?

You have a large table with millions of rows. Which method will most improve the speed of queries filtering by a column email?

A Create an index on the <code>email</code> column.

B Increase the size of the <code>email</code> column.

C Remove all indexes from the table.

D Use SELECT * for all queries.

💡 Hint

Think about how databases find rows quickly.

Indexes help MySQL find rows faster by avoiding full table scans.