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MySQLquery~20 mins

UPPER and LOWER in MySQL - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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❓ query_result
intermediate
1:30remaining
What is the output of the UPPER function?
Given the table Employees with a column name containing the value 'Alice', what will be the result of this query?
SELECT UPPER(name) FROM Employees WHERE name = 'Alice';
MySQL
SELECT UPPER(name) FROM Employees WHERE name = 'Alice';
Aalice
BError: function UPPER not found
CALICE
DAlice
Attempts:
2 left
💡 Hint
UPPER converts all letters to uppercase.
❓ query_result
intermediate
1:30remaining
What does LOWER do to mixed case text?
Consider a table Products with a column category containing the value 'EleCtrOnics'. What is the output of this query?
SELECT LOWER(category) FROM Products WHERE category = 'EleCtrOnics';
MySQL
SELECT LOWER(category) FROM Products WHERE category = 'EleCtrOnics';
AEleCtrOnics
Belectronics
CELECtrONICS
DError: function LOWER not found
Attempts:
2 left
💡 Hint
LOWER converts all letters to lowercase.
📝 Syntax
advanced
2:00remaining
Which query correctly converts a column to uppercase?
You want to select the city column from the Customers table and convert all city names to uppercase. Which query is syntactically correct?
ASELECT UPPER(city) FROM Customers;
BSELECT city.UPPER() FROM Customers;
CSELECT UPPER city FROM Customers;
DSELECT city TO UPPER FROM Customers;
Attempts:
2 left
💡 Hint
UPPER is a function that takes the column name as an argument inside parentheses.
❓ optimization
advanced
2:30remaining
Optimizing case-insensitive search using LOWER
You want to find all rows in the Users table where the email column matches 'Example@Domain.com' regardless of case. Which query is the most efficient and correct?
ASELECT * FROM Users WHERE UPPER(email) = 'EXAMPLE@DOMAIN.COM';
BSELECT * FROM Users WHERE email = 'Example@Domain.com';
CSELECT * FROM Users WHERE email LIKE '%Example@Domain.com%';
DSELECT * FROM Users WHERE LOWER(email) = LOWER('Example@Domain.com');
Attempts:
2 left
💡 Hint
Use LOWER on both sides to ensure case-insensitive comparison.
🧠 Conceptual
expert
2:00remaining
Why use UPPER or LOWER in database queries?
Which of the following best explains why you might use UPPER or LOWER functions in SQL queries?
ATo ensure case-insensitive comparisons and standardize text data for searching or sorting.
BTo encrypt sensitive data before storing it in the database.
CTo convert numeric data into string format for calculations.
DTo automatically fix spelling mistakes in text columns.
Attempts:
2 left
💡 Hint
Think about how text case affects searching and sorting.

Practice

(1/5)
1. What does the MySQL function UPPER('hello') return?
easy
A. 'heLLo'
B. 'hello'
C. 'Hello'
D. 'HELLO'

Solution

  1. Step 1: Understand the UPPER function

    The UPPER function converts all letters in the input text to uppercase letters.
  2. Step 2: Apply UPPER to 'hello'

    Applying UPPER to 'hello' changes all letters to uppercase, resulting in 'HELLO'.
  3. Final Answer:

    'HELLO' -> Option D
  4. Quick Check:

    UPPER('hello') = 'HELLO' [OK]
Hint: UPPER makes all letters capital [OK]
Common Mistakes:
  • Thinking UPPER only capitalizes first letter
  • Confusing UPPER with LOWER
  • Expecting mixed case output
2. Which of the following is the correct syntax to convert the column name to lowercase in a SELECT query?
easy
A. SELECT LOWER(name) FROM users;
B. SELECT LOWER name FROM users;
C. SELECT name.LOWER() FROM users;
D. SELECT LOWER[name] FROM users;

Solution

  1. Step 1: Recall correct function syntax

    MySQL functions use the format FUNCTION_NAME(argument), so LOWER(name) is correct.
  2. Step 2: Check each option

    SELECT LOWER(name) FROM users; uses correct syntax: LOWER(name). Options A, B, and D use invalid syntax forms.
  3. Final Answer:

    SELECT LOWER(name) FROM users; -> Option A
  4. Quick Check:

    Correct function call syntax = SELECT LOWER(name) FROM users; [OK]
Hint: Use function_name(column) syntax for MySQL functions [OK]
Common Mistakes:
  • Omitting parentheses around column
  • Using dot or bracket notation incorrectly
  • Writing function name in lowercase without parentheses
3. Given a table products with a column category containing values 'Books', 'electronics', 'TOYS', what will the query SELECT DISTINCT UPPER(category) FROM products; return?
medium
A. ['Books', 'electronics', 'TOYS']
B. ['BOOKS', 'ELECTRONICS', 'TOYS']
C. ['books', 'electronics', 'toys']
D. ['BOOKS', 'electronics', 'TOYS']

Solution

  1. Step 1: Understand UPPER and DISTINCT

    UPPER converts all text to uppercase. DISTINCT removes duplicates from the result set.
  2. Step 2: Apply UPPER to each category value

    'Books' -> 'BOOKS', 'electronics' -> 'ELECTRONICS', 'TOYS' -> 'TOYS'. All become uppercase.
  3. Step 3: Collect distinct uppercase values

    All three are unique after conversion, so the result is ['BOOKS', 'ELECTRONICS', 'TOYS'].
  4. Final Answer:

    ['BOOKS', 'ELECTRONICS', 'TOYS'] -> Option B
  5. Quick Check:

    UPPER + DISTINCT = uppercase unique values [OK]
Hint: UPPER changes all letters; DISTINCT removes duplicates [OK]
Common Mistakes:
  • Expecting original case values
  • Ignoring DISTINCT effect
  • Mixing uppercase and lowercase in output
4. Consider the query: SELECT LOWER('MySQL') FROM dual. It returns an error. What is the likely cause?
medium
A. The table 'dual' does not exist in MySQL by default
B. LOWER function is not supported in MySQL
C. The string 'MySQL' must be in uppercase already
D. Missing semicolon at the end of the query

Solution

  1. Step 1: Understand the use of 'dual'

    'dual' is a special table in Oracle but not present by default in MySQL.
  2. Step 2: Check MySQL behavior

    MySQL does not require 'FROM dual' for selecting expressions; using it causes an error if 'dual' table is missing.
  3. Final Answer:

    The table 'dual' does not exist in MySQL by default -> Option A
  4. Quick Check:

    MySQL lacks default 'dual' table [OK]
Hint: MySQL doesn't need 'FROM dual' for expressions [OK]
Common Mistakes:
  • Assuming 'dual' exists like in Oracle
  • Thinking LOWER is unsupported
  • Blaming missing semicolon
5. You want to find all users in the users table whose email ends with '@example.com', ignoring case differences. Which query correctly uses UPPER or LOWER to achieve this?
hard
A. SELECT * FROM users WHERE LOWER(email) LIKE '%@Example.com';
B. SELECT * FROM users WHERE LOWER(email) LIKE '%@EXAMPLE.COM';
C. SELECT * FROM users WHERE UPPER(email) LIKE '%@EXAMPLE.COM';
D. SELECT * FROM users WHERE email LIKE '%@example.com';

Solution

  1. Step 1: Understand case-insensitive matching

    To ignore case, convert both sides to the same case before comparing.
  2. Step 2: Apply UPPER to email and pattern

    Using UPPER(email) and matching with uppercase pattern '%@EXAMPLE.COM' ensures case-insensitive match.
  3. Step 3: Check options

    SELECT * FROM users WHERE UPPER(email) LIKE '%@EXAMPLE.COM'; correctly uses UPPER on email and uppercase pattern. SELECT * FROM users WHERE LOWER(email) LIKE '%@Example.com'; mismatches case in pattern. SELECT * FROM users WHERE email LIKE '%@example.com'; is case-sensitive. SELECT * FROM users WHERE LOWER(email) LIKE '%@EXAMPLE.COM'; mismatches case in pattern.
  4. Final Answer:

    SELECT * FROM users WHERE UPPER(email) LIKE '%@EXAMPLE.COM'; -> Option C
  5. Quick Check:

    Match cases on both sides using UPPER or LOWER [OK]
Hint: Match cases on both sides with UPPER or LOWER [OK]
Common Mistakes:
  • Not matching case of pattern and column
  • Assuming LIKE is case-insensitive by default
  • Mixing LOWER with uppercase pattern
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