Bird
Raised Fist0
MySQLquery~10 mins

Why SELECT retrieves data in MySQL - Test Your Understanding

Choose your learning style10 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to select all columns from the table named 'employees'.

MySQL
SELECT [1] FROM employees;
Drag options to blanks, or click blank then click option'
A*
BALL
CCOLUMNS
DEVERYTHING
Attempts:
3 left
💡 Hint
Common Mistakes
Using words like ALL or COLUMNS instead of *
Forgetting to specify what to select
2fill in blank
medium

Complete the code to select only the 'name' column from the 'employees' table.

MySQL
SELECT [1] FROM employees;
Drag options to blanks, or click blank then click option'
Aall
Bname
Cnames
Demployee_name
Attempts:
3 left
💡 Hint
Common Mistakes
Using plural or different column names like 'names' or 'employee_name'
Using keywords like 'all' instead of a column name
3fill in blank
hard

Fix the error in the code to select the 'age' column from 'employees'.

MySQL
SELECT [1] FROM employees;
Drag options to blanks, or click blank then click option'
A*
Bage;
Cage
Dages
Attempts:
3 left
💡 Hint
Common Mistakes
Adding a semicolon after the column name inside the SELECT clause
Using wrong column names like 'ages'
4fill in blank
hard

Fill both blanks to select the 'salary' column from 'employees' where salary is greater than 50000.

MySQL
SELECT [1] FROM employees WHERE salary [2] 50000;
Drag options to blanks, or click blank then click option'
Asalary
B>
C<
D*
Attempts:
3 left
💡 Hint
Common Mistakes
Using '*' instead of 'salary' in SELECT
Using '<' instead of '>' in the WHERE clause
5fill in blank
hard

Fill all three blanks to select 'name' and 'age' from 'employees' where age is less than 30.

MySQL
SELECT [1], [2] FROM employees WHERE age [3] 30;
Drag options to blanks, or click blank then click option'
Aname
Bage
C<
D>
Attempts:
3 left
💡 Hint
Common Mistakes
Using '>' instead of '<' in the WHERE clause
Swapping the order of columns (though this is not an error, but less common)

Practice

(1/5)
1. What is the main purpose of the SELECT statement in MySQL?
easy
A. To retrieve data from one or more tables
B. To delete data from a table
C. To update existing data in a table
D. To create a new table in the database

Solution

  1. Step 1: Understand the role of SELECT

    The SELECT statement is designed to fetch or retrieve data stored in tables.
  2. Step 2: Compare with other SQL commands

    DELETE removes data, UPDATE changes data, and CREATE TABLE makes new tables, so these are not for retrieving data.
  3. Final Answer:

    To retrieve data from one or more tables -> Option A
  4. Quick Check:

    SELECT = retrieve data [OK]
Hint: SELECT always fetches data, not changes or deletes [OK]
Common Mistakes:
  • Confusing SELECT with DELETE or UPDATE
  • Thinking SELECT creates tables
  • Assuming SELECT modifies data
2. Which of the following is the correct syntax to select all columns from a table named employees?
easy
A. SELECT employees FROM *;
B. SELECT ALL employees;
C. SELECT * FROM employees;
D. GET * FROM employees;

Solution

  1. Step 1: Recall correct SELECT syntax

    The correct syntax to select all columns is SELECT * FROM table_name;.
  2. Step 2: Check each option

    SELECT * FROM employees; matches the correct syntax. The other options are invalid: table name before *, using ALL incorrectly, and using GET instead of SELECT.
  3. Final Answer:

    SELECT * FROM employees; -> Option C
  4. Quick Check:

    SELECT * FROM table = correct syntax [OK]
Hint: Use * to select all columns in SELECT [OK]
Common Mistakes:
  • Using GET instead of SELECT
  • Placing table name before *
  • Using ALL keyword incorrectly
3. Given the table products with columns id, name, and price, what will this query return?
SELECT name FROM products WHERE price > 100;
medium
A. All product names with price less than 100
B. All product names with price greater than 100
C. All columns for products priced over 100
D. An error because price comparison is invalid

Solution

  1. Step 1: Analyze the SELECT clause

    The query selects only the name column from the products table.
  2. Step 2: Understand the WHERE condition

    The condition price > 100 filters rows where price is greater than 100.
  3. Final Answer:

    All product names with price greater than 100 -> Option B
  4. Quick Check:

    SELECT name WHERE price > 100 = product names over 100 [OK]
Hint: WHERE filters rows; SELECT chooses columns [OK]
Common Mistakes:
  • Confusing greater than with less than
  • Expecting all columns instead of just name
  • Thinking the query causes an error
4. Identify the error in this query:
SELECT FROM customers WHERE age > 30;
medium
A. Missing column names after SELECT
B. Incorrect WHERE clause syntax
C. Table name should be after WHERE
D. No error, query is correct

Solution

  1. Step 1: Check SELECT syntax

    SELECT must be followed by column names or * to specify what to retrieve.
  2. Step 2: Review the query structure

    The query has SELECT but no columns listed before FROM, which is invalid syntax.
  3. Final Answer:

    Missing column names after SELECT -> Option A
  4. Quick Check:

    SELECT needs columns or * [OK]
Hint: Always specify columns or * after SELECT [OK]
Common Mistakes:
  • Leaving SELECT empty
  • Placing table name after WHERE
  • Assuming WHERE syntax is wrong
5. You want to see only the email addresses of customers who live in 'New York' from the customers table. Which query correctly retrieves this data?
hard
A. SELECT email FROM customers WHERE city == 'New York';
B. SELECT * FROM customers WHERE city = New York;
C. SELECT email WHERE city = 'New York' FROM customers;
D. SELECT email FROM customers WHERE city = 'New York';

Solution

  1. Step 1: Identify correct SELECT and WHERE syntax

    The correct syntax is SELECT column FROM table WHERE condition;. The city value must be in quotes.
  2. Step 2: Evaluate each option

    SELECT email FROM customers WHERE city = 'New York'; uses correct syntax and quotes around 'New York'. SELECT * FROM customers WHERE city = New York; misses quotes, causing error. SELECT email WHERE city = 'New York' FROM customers; has wrong clause order. SELECT email FROM customers WHERE city == 'New York'; uses double equals which is invalid in SQL.
  3. Final Answer:

    SELECT email FROM customers WHERE city = 'New York'; -> Option D
  4. Quick Check:

    Correct syntax with quotes and order [OK]
Hint: Use single quotes for string values in WHERE [OK]
Common Mistakes:
  • Omitting quotes around string values
  • Using == instead of = in WHERE
  • Placing WHERE before FROM
Recommended

Ready to prove it?

Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.

10 questions~5 mineasy hard