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WGU Data-Management-Foundations Exam Syllabus Topics:

Topic	Details
Topic 1	Creating databases and tables in SQL enabled database systems: This section of the exam measures skills of Database Developers and covers setting up databases and tables using SQL in relational systems. It focuses on choosing table structures, defining columns, and preparing the database so that data can be stored and managed correctly.
Topic 2	Running SQL queries to create and manipulate data: This section of the exam measures skills of Data Analysts and focuses on using SQL statements to build and change data structures and records. It includes creating tables and running queries to insert, update, delete, and retrieve data.
Topic 3	Introduction to conceptual logical and physical data models: This section of the exam measures skills of Data Analysts and introduces the basic ideas behind conceptual, logical, and physical data models. It focuses on understanding how each model represents data at a different level, from high level business view to detailed database structure.
Topic 4	Attributes of databases tables and SQL commands: This section of the exam measures skills of Database Developers and explains the main features of databases and tables, along with basic SQL commands. It focuses on understanding rows, columns, data types, and how common SQL operations interact with these elements.

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WGU Data Management – Foundations Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which characteristic is true for non-relational databases?

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

Answer: C

Explanation:
Non-relational databases(also calledNoSQL databases) are designed for handlingbig dataandunstructured dataefficiently. They are optimized forhorizontal scaling, making them ideal forlarge-scale distributed systems.
* Option A (Correct):Non-relational databases areoptimized for big data, handling massive volumes of data across distributed architectures.
* Option B (Incorrect):NoSQL databases donotuse SQL as their primary query language. They often use JSON-based queries (e.g., MongoDB).
* Option C (Incorrect):Transaction-heavy applications requireACID compliance, which relational databases (SQL) handle better than NoSQL databases.
* Option D (Incorrect):NoSQL databases usedocument, key-value, graph, or column-family storage models, nottables, columns, and rowslike relational databases.

NEW QUESTION # 31
Which statement uses valid syntax for the DELETE statement in SQL?

A. DELETE FROM table_name WHERE condition;
B. DELETE table_name WHERE condition;
C. DELETE * FROM table_name WHERE condition;
D. DELETE FROM table_name;

Answer: A

Explanation:
Thecorrect syntaxfor deleting records from a table in SQL is:
sql
DELETE FROM table_name WHERE condition;
This deletesonly the rowsthat match the condition.
Example Usage:
sql
DELETE FROM Employees WHERE Salary < 30000;
* Deletesall employees earning less than $30,000.
Why Other Options Are Incorrect:
* Option A (Incorrect):Missing FROMkeyword. The correct syntax is DELETE FROM table_name.
* Option C (Partially Correct):DELETE FROM table_name;deletes all rows, but it lacks a WHERE clause.
* Option D (Incorrect):DELETE *is not validin SQL. The correct command is just DELETE FROM.
Thus, the correct answer isDELETE FROM table_name WHERE condition;.

NEW QUESTION # 32
Which clause from a SELECT statement immediately accompanies the SELECT clause in MySQL?

A. VALUE
B. WHERE
C. FROM
D. TABLE

Answer: C

Explanation:
InSQL 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 clauseimmediately followsthe 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 recordsafter specifying the table in FROM.
* Option D (Incorrect):TABLE is not a valid clause following SELECT in SQL.

NEW QUESTION # 33
Which designation is an individual value, such as a salary?

A. Glossary
B. Relationship
C. Entity type
D. Attribute type

Answer: D

Explanation:
Anattribute typerefers to asingle, specific valuewithin a table, such as Salary, Age, or Price.
Example Usage:
A screenshot of a computer AI-generated content may be incorrect.

CREATE TABLE Employees (
EmpID INT PRIMARY KEY,
Name VARCHAR(50),
Salary DECIMAL(10,2)
);
* Salary is anattribute typewith individual values for each employee.
Why Other Options Are Incorrect:
* Option A (Glossary) (Incorrect):Refers todocumentation, not database values.
* Option B (Entity type) (Incorrect):Representsa class of objects(e.g., Employees), not individual values.
* Option D (Relationship) (Incorrect):Definesconnections between entities, not attributes.
Thus, the correct answer isAttribute type, as it represents anindividual data value.

NEW QUESTION # 34
Which function is considered an aggregate function?

A. TRIM
B. ABS
C. MAX
D. DESC

Answer: C

Explanation:
Aggregate functionsperform calculationson a set of values and return asingle result.MAX()is one such function, returning thelargest value in a column.
Common Aggregate Functions:
A screenshot of a computer AI-generated content may be incorrect.

Example Usage:
sql
SELECT MAX(Salary) FROM Employees;
* Retrieves thehighest salaryin the Employees table.
Why Other Options Are Incorrect:
* Option B (TRIM) (Incorrect):Removes spaces from strings butis not an aggregate function.
* Option C (ABS) (Incorrect):Returns theabsolute value of a numberbut doesnot aggregate multiple rows.
* Option D (DESC) (Incorrect):Used in ORDER BY forsorting in descending order,not for aggregation.
Thus, the correct answer isMAX(), as it is atrue aggregate function.

NEW QUESTION # 35
......

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