Data-Management-Foundations Exam Dumps - WGU Courses and Certificates Questions and Answers

Atangible entityis a real-world object that can bemeasured and storedin a database.

Example Usage:

In an inventory system,tangible entitiesinclude:

Products, Orders, Customers

Why Other Options Are Incorrect:

Option A (Logical entity) (Incorrect):Exists logically butmay not have a physical presence(e.g.,views, categories).

Option C (Virtual entity) (Incorrect):Existsonly in queries or reports, not stored as real data.

Option D (Conceptual entity) (Incorrect):Abstract idea used indesign modeling, not astored entity.

Thus, the correct answer isTangible entity, as it representsmeasurable, real-world objects.

Attributesin a databaserepresent the properties (names, values, or characteristics) of an entity.

Example Usage:

In aStudentstable, attributes might include:

StudentID (Primary Key), Name, Age, Major

Here,Name is an attributedescribing the entityStudent.

Why Other Options Are Incorrect:

Option A (Synonyms) (Incorrect):Synonyms in SQL allow different names for the same object but arenot attributes.

Option C (Repositories) (Incorrect):A repository stores data butdoes not define attributes.

Option D (Relationships) (Incorrect):Relationships defineconnections between entities, not their attributes.

Thus, the correct answer isNames, asattributes define entity properties.

Thefirst stepin database analysis isidentifying entities, which are thereal-world objectsthat need to be represented in the database.

Example Usage:

In a school system, the mainentitiescould be:

Students, Courses, Instructors

Why Other Options Are Incorrect:

Option A (Determine cardinality) (Incorrect):Determining relationships comesafteridentifying entities.

Option C (Draw an ER diagram) (Incorrect):ER diagramsvisualizeentities but arenot the first step.

Option D (Implement attributes) (Incorrect):Attributes aredefined afterentities are identified.

Thus, the correct answer isIdentify entities, asentities form the foundation of the databasemodel.

Aquery processoris responsible forquery optimization and executionin a database management system (DBMS). It analyzes SQL statements, optimizes execution plans, and ensures efficient retrieval of data.

Option A (Correct):Thequery processoroptimizes queries by analyzing metadata from thesystem catalogto determine the best execution strategy.

Option B (Incorrect):Logging transactionsbefore applying changes is the responsibility of thetransaction manager.

Option C (Incorrect):Translating instructions intofile system commandsis handled by thestorage manager, not the query processor.

Option D (Incorrect):While the query processor helps retrieve results, thedatabaseengineandAPI layerare responsible for returning results to applications.

In SQL,literalsrepresent explicit values such asnumbers, strings, or binary datadirectly written into queries. For example:

SELECT * FROM Employees WHERE Salary > 50000;

Here, 50000 is anumeric literal.

Option A (Correct):Literalsare explicit values used in SQL queries, such as 123, 'John Doe', and TRUE.

Option B (Incorrect):Commentsare non-executable text used for documentation within SQL code, typically denoted by -- or /* ... */.

Option C (Incorrect):Identifiersare names oftables, columns, or other database objects, such as EmployeeID.

Option D (Incorrect):Keywordsare reserved words in SQL (e.g., SELECT, FROM, WHERE) that define operations and syntax.

Asimple primary keyconsists ofonly one columnthat uniquely identifies each row in a table.

Example Usage:

sql

CREATE TABLE Students (

StudentID INT PRIMARY KEY,

Name VARCHAR(50)

);

StudentIDis asimple primary keybecause it consists of only one field.

Why Other Options Are Incorrect:

Option B (Partition) (Incorrect):Refers topartitioned tables, which divide data for performance reasons butare not related to primary keys.

Option C (Stable) (Incorrect):This is not a recognized term in database keys.

Option D (Meaningless) (Incorrect):Primary keys are oftenmeaningless (e.g., auto-incremented IDs), but this isnot a term used to describe their structure.

Thus, the correct answer isSimple, as asingle-field primary keyis referred to as asimple primary key.

TheALTER TABLEstatement is used to modify an existing database table structure. One common clause isCHANGE, which allows renaming a column and modifying its data type.

Example:

sql

ALTER TABLE Employees CHANGE COLUMN OldName NewName VARCHAR(50);

Option A (Incorrect):DELETE is used to removerows, not alter table structure.

Option B (Correct):CHANGE is avalid clausefor renaming and modifying columns in MySQL and some other databases.

Option C (Incorrect):STOP is not a valid SQL keyword for altering tables.

Option D (Incorrect):AGGREGATE refers to functions like SUM() and AVG(), not table alterations.

This query performs ajoin operationwhere records from the Make table and Model table are combined based on the condition Make.ModelID = Model.ID. This conditiontests for equality, which is the definition of anEQUIJOIN.

Types of Joins in SQL:

EQUIJOIN (Correct Answer):

Uses an equality operator (=) to match rows between tables.

Equivalent to an INNER JOIN ON condition.

Example:

sql

SELECT *

FROM Employees

JOIN Departments ON Employees.DeptID = Departments.ID;

NON-EQUIJOIN (Incorrect):

Usescomparison operators other than =(e.g., <, >, BETWEEN).

Example:

sql

SELECT *

FROM Employees e

JOIN Salaries s ON e.Salary > s.MedianSalary;

SELF JOIN (Incorrect):

A table is joined withitselfusing table aliases.

Example:

sql

SELECT e1.Name, e2.Name AS Manager

FROM Employees e1

JOIN Employees e2 ON e1.ManagerID = e2.ID;

CROSS JOIN (Incorrect):

ProducesCartesian product(each row from Table A combines with every row from Table B).

Example:

sql

SELECT *

FROM Employees

CROSS JOIN Departments;

Thus, since our given query uses anequality condition (=) to join two tables, it is anEQUIJOIN.