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WGU Data Management - Foundations Questions 11–15 (page: 4)

Updated On: 11-Feb-2026

Which action does the % operator accomplish in MySQL?

  1. Raises a numeric value to the power of another
  2. Compares two numeric values for equality
  3. Divides two numeric values and returns the remainder
  4. Subtracts a numeric value from another

Answer(s): C

Explanation:

The % operator in MySQL is known as the modulus operator. It returns the remainder of a division operation between two numbers.

Example:

sql

SELECT 10 % 3; -- Output: 1 (10 divided by 3 gives remainder 1)

Option A (Incorrect): Raising a number to a power is done using the POW() function or ^ in some SQL dialects.

Option B (Incorrect): The = operator is used for equality comparisons, not %.

Option C (Correct): The modulus operator (%) finds the remainder when one number is divided by another.

Option D (Incorrect): Subtraction is performed using the - operator.


Reference:

MySQL arithmetic operators.



Which clause from a SELECT statement immediately accompanies the SELECT clause in MySQL?

  1. FROM
  2. VALUE
  3. WHERE
  4. TABLE

Answer(s): A

Explanation:

In SQL syntax, the FROM clause is the first clause that follows SELECT. It specifies the table(s) from which the data will be retrieved.

Example:

sql

SELECT name, salary FROM Employees;

Option A (Correct): The FROM clause immediately follows the SELECT clause in MySQL.

Option B (Incorrect): VALUE is not a valid clause in MySQL SELECT statements.

Option C (Incorrect): WHERE is used to filter records after specifying the table in FROM.

Option D (Incorrect): TABLE is not a valid clause following SELECT in SQL.


Reference:

MySQL SELECT statement structure.



Which characteristic is true for non-relational databases?

  1. They are optimized for big data.
  2. They support the SQL query language.
  3. They are ideal for databases that require an accurate record of transactions.
  4. They store data in tables, columns, and rows, similar to a spreadsheet.

Answer(s): A

Explanation:

Non-relational databases (also called NoSQL databases) are designed for handling big data and unstructured data efficiently. They are optimized for horizontal scaling, making them ideal for large- scale distributed systems.

Option A (Correct): Non-relational databases are optimized for big data, handling massive volumes of data across distributed architectures.

Option B (Incorrect): NoSQL databases do not use SQL as their primary query language. They often use JSON-based queries (e.g., MongoDB).

Option C (Incorrect): Transaction-heavy applications require ACID compliance, which relational databases (SQL) handle better than NoSQL databases.

Option D (Incorrect): NoSQL databases use document, key-value, graph, or column-family storage models, not tables, columns, and rows like relational databases.


Reference:

Characteristics of NoSQL databases.



Which clause is used to specify the join columns when performing a join in MySQL?

  1. AS
  2. JOIN
  3. ON
  4. AND

Answer(s): C

Explanation:

When performing a JOIN operation in MySQL, the ON clause specifies the joining condition, defining which columns from both tables should be matched.

Example:

sql

SELECT Employees.Name, Departments.DepartmentName

FROM Employees

JOIN Departments ON Employees.DepartmentID = Departments.ID;

Option A (Incorrect): AS is used for aliasing tables and columns, not for specifying join conditions.

Option B (Incorrect): JOIN defines the type of join (INNER JOIN, LEFT JOIN, etc.), but does not specify the columns.

Option C (Correct): The ON clause is used to specify the join condition between two tables.

Option D (Incorrect): AND is used in filtering conditions, not for joining tables.


Reference:

MySQL JOIN operations.



Which keyword can be used to combine two results into one table?

  1. UNION
  2. MERGE
  3. INTEGRATE
  4. CONSOLIDATE

Answer(s): A

Explanation:

The UNION keyword in SQL is used to combine the results of two or more SELECT queries into a single result set while removing duplicate rows.

Example:

sql

SELECT Name FROM Employees

UNION

SELECT Name FROM Managers;

Option A (Correct): UNION combines results from multiple queries into one set, removing duplicates.

Option B (Incorrect): MERGE is not a valid SQL keyword for combining result sets (it is used in some database systems for data merging).

Option C (Incorrect): INTEGRATE is not a SQL keyword.

Option D (Incorrect): CONSOLIDATE is not an SQL keyword.


Reference:

SQL UNION and set operations.



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