100% PASS QUIZ VALID DATA-MANAGEMENT-FOUNDATIONS - WGU DATA MANAGEMENT–FOUNDATIONS EXAM TEST REVIEW

100% Pass Quiz Valid Data-Management-Foundations - WGU Data Management–Foundations Exam Test Review

100% Pass Quiz Valid Data-Management-Foundations - WGU Data Management–Foundations Exam Test Review

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WGU Data Management – Foundations Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
Which operation finds an entry containing a search value by repeatedly splitting the index in two?

  • A. Index scan
  • B. Fan-out
  • C. Table scan
  • D. Binary search

Answer: D

Explanation:
Binary searchis an algorithm that finds a search value byrepeatedly dividing the search space into two halves. It is commonly used inindexed searches.
Example Usage in Databases:
* B-Trees and B+ Trees(used in database indexing) applybinary searchto navigate the index efficiently.
* If searching for ID = 50 in asorted list of IDs, binary search:
* Splits the list into two halves.
* Checks the middle value.
* Eliminates half of the dataset.
* Repeats until the value is found.
Why Other Options Are Incorrect:
* Option A (Table scan) (Incorrect):Readsevery row,much slowerthan binary search.
* Option C (Index scan) (Incorrect):Uses indexes but does not necessarily apply binary search.
* Option D (Fan-out) (Incorrect):Describesbranching in B-Trees, not searching.
Thus, the correct answer isBinary search, as it repeatedlysplits the indexin two.


NEW QUESTION # 34
What is the last step in the logical design process for designing a database?

  • A. Discover entities
  • B. Determine cardinality
  • C. Apply a normal form
  • D. Analyze data requirements

Answer: C

Explanation:
Thelogical design phasein database development focuses onstructuring data efficientlyto eliminate redundancy and ensure integrity. Thefinal step in logical designis toapply normalization (normal forms)to optimize the database schema.
Steps in Logical Database Design:
* Discover entities# Identify real-world objects (e.g., Customers, Orders).
* Determine cardinality# Define relationships between entities (one-to-one, one-to-many).
* Analyze data requirements# Determine the attributes each entity needs.
* Apply normal forms# Eliminate redundancy and improve data consistency.
Example Usage:
* After identifying entities likeStudentsandCourses, applying3rd Normal Form (3NF)ensures that data isorganized without redundancy.
Why Other Options Are Incorrect:
* Option A (Analyze data requirements) (Incorrect):Doneearlierto define attributes.
* Option C (Determine cardinality) (Incorrect):Donebeforenormalization to establish relationships.
* Option D (Discover entities) (Incorrect):Done at thebeginningof database design.
Thus, the correct answer isApply a normal form, as normalization is thelast step in logicaldesign.


NEW QUESTION # 35
Which type of join selects all the rows from both the left and right table, regardless of match?

  • A. Full Join
  • B. Inner Join
  • C. Cross Join
  • D. Outer Join

Answer: A

Explanation:
AFull Join (FULL OUTER JOIN)selectsall records from both tables, filling in NULL values where there is no match. This ensures that no data is lost from either table.
Example Usage:
sql
SELECT Employees.Name, Departments.DepartmentName
FROM Employees
FULL OUTER JOIN Departments ON Employees.DeptID = Departments.ID;
* This query retrievesall employees and all departments, even if an employeehas no assigned departmentor a departmenthas no employees.
Types of Joins:
* FULL OUTER JOIN (Correct Answer)# Includesall rows from both tables, filling missing values with NULL.
* LEFT JOIN (Incorrect)# Includesall rows from the left tableandmatching rows from the right table.
* RIGHT JOIN (Incorrect)# Includesall rows from the right tableandmatching rows from the left table.
* CROSS JOIN (Incorrect)# Produces aCartesian product(each row from one table is combined with every row from another table).
Thus, the correct answer isFULL JOIN, whichensures that all rows from both tables appear in the result.


NEW QUESTION # 36
Which entity in a table is a measurable object in the real world?

  • A. Virtual entity
  • B. Conceptual entity
  • C. Logical entity
  • D. Tangible entity

Answer: D

Explanation:
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.


NEW QUESTION # 37
Which keyword is used to introduce a limiter in a SELECT statement?

  • A. DROP
  • B. FROM
  • C. WHERE
  • D. INTO

Answer: C

Explanation:
TheWHEREclause is used inSQL SELECT statementstolimitthe number of rows that match a specific condition. It helps filter data based on given criteria before retrieving the results.
Example Usage:
sql
SELECT *
FROM Employees
WHERE Salary > 50000;
* This querylimitsthe result set to employees whose salary isgreater than 50,000.
Why Other Options Are Incorrect:
* Option A (FROM) (Incorrect):Specifies the table from which data is retrieved butdoes not limit results.
* Option B (DROP) (Incorrect):Used fordeleting tables, databases, or views, not filtering rows.
* Option C (INTO) (Incorrect):Used in statements like INSERT INTO or SELECT INTO, whichdo not filter results.
Thus,WHERE is the correct keywordfor applying alimiter in a SELECT statement.


NEW QUESTION # 38
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