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WGU C170 PRE-ASSESSMENT FJO1 PFJO 2026/2027 | Data Management Applications | Complete Solution | Pass Guaranteed - A+ Graded

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Pass the WGU C170 Pre-Assessment (FJO1/PFJO) for Data Management - Applications on your first attempt with this complete 2026/2027 solution guide. This A+ Graded resource contains complete pre-assessment exam questions and verified answers for the FJO1/PFJO version covering all key content areas including database design fundamentals, entity-relationship modeling (ERD) with Chen and Crow's Foot notation, database normalization (1NF, 2NF, 3NF, Boyce-Codd Normal Form), converting ER diagrams to relational schemas, identifying primary keys, foreign keys, composite keys, surrogate keys, natural keys, referential integrity constraints with cascade update and delete rules, Structured Query Language (SQL) commands including Data Definition Language (DDL) for CREATE, ALTER, DROP, TRUNCATE, Data Manipulation Language (DML) for SELECT, INSERT, UPDATE, DELETE, Data Control Language (DCL) for GRANT, REVOKE, Transaction Control Language (TCL) for COMMIT, ROLLBACK, SAVEPOINT, SQL joins (INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER, CROSS, SELF JOIN), subqueries (non-correlated and correlated), set operations (UNION, UNION ALL, INTERSECT, EXCEPT/MINUS), aggregate functions (COUNT, SUM, AVG, MIN, MAX, DISTINCT) with GROUP BY and HAVING clauses, filtering with WHERE and logical operators (AND, OR, NOT, IN, BETWEEN, LIKE, IS NULL), sorting with ORDER BY (ASC/DESC), SQL data types (INT, VARCHAR, DATE, DECIMAL, CHAR, TEXT, BOOLEAN, TIMESTAMP), constraints (NOT NULL, UNIQUE, CHECK, DEFAULT), creating and managing indexes, views, stored procedures, triggers, database transactions and ACID properties (Atomicity, Consistency, Isolation, Durability), concurrency control and locking mechanisms, database security and user permission management, backup and recovery strategies, query optimization and performance tuning, indexing strategies (clustered vs non-clustered), database administration tasks, and practical scenario-based questions specific to the FJO1/PFJO assessment version. Each answer includes clear SQL code examples and rationales to reinforce data management concepts. Perfect for WGU students preparing specifically for the FJO1/PFJO version of the C170 Pre-Assessment. With our Pass Guarantee, you can confidently pass your Data Management - Applications PA exam. Download your complete WGU C170 Pre-Assessment FJO1 PFJO solution instantly!

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WGU C170 PRE-ASSESSMENT FJO1 PFJO 2026/2027 | Data
Management Applications | Complete Solution | Pass
Guaranteed - A+ Graded



Section 1: Database Fundamentals & Relational Model (Questions
1-12)


Q1. A database administrator is explaining the relational model to a new hire. She
states: "In a relation, each column represents a specific characteristic, and each row
represents a single instance." Which two terms correctly identify what columns and
rows represent in formal relational terminology?

A. Columns represent records, and rows represent fields.

B. Columns represent attributes, and rows represent tuples.

C. Columns represent domains, and rows represent degrees.

D. Columns represent schemas, and rows represent instances.

Rationale: In the formal relational model, columns are called attributes (characteristics),
and rows are called tuples (individual records/instances). Option A reverses the terms.
Option C confuses domain (set of valid values for an attribute) and degree (number of
attributes in a relation). Option D uses schema and instance at the database level, not
the relation level.

Correct Answer: B

,Q2. A university registrar maintains a STUDENT relation with 15,000 rows and 8
columns. Which pair of terms correctly describes the degree and cardinality of this
relation?

A. Degree: 15,000; Cardinality: 8

B. Degree: 8; Cardinality: 15,000

C. Degree: 120,000; Cardinality: 8

D. Degree: 15,000; Cardinality: 120,000

Rationale: Degree refers to the number of attributes (columns) in a relation, which is 8.
Cardinality refers to the number of tuples (rows), which is 15,000. Options A and D
reverse these definitions. Option C incorrectly multiplies the values.

Correct Answer: B



Q3. A database designer is defining a CUSTOMER relation. The PhoneNumber attribute
should only accept valid 10-digit North American phone numbers. What relational
concept describes the set of permissible values for the PhoneNumber attribute?

A. Tuple

B. Domain

C. Schema

D. Cardinality

,Rationale: A domain is the set of all permissible values for a given attribute. A tuple is a
row (Option A). A schema is the overall structure of the database (Option C). Cardinality
is the number of rows (Option D).

Correct Answer: B



Q4. Which relational algebra operation produces a vertical subset of a relation by
selecting specific columns while eliminating duplicate rows?

A. Selection (σ)

B. Projection (π)

C. Union (∪)

D. Intersection (∩)

Rationale: Projection (π) selects specific columns (attributes) from a relation, producing
a vertical subset. Selection (σ) produces a horizontal subset by filtering rows (Option A).
Union and Intersection are set operations combining relations (Options C and D).

Correct Answer: B



Q5. Consider two relations: EMPLOYEE(empID, name, deptID) and DEPARTMENT(deptID,
deptName, location). Which relational algebra expression returns only the names and
department names of employees who work in the "Marketing" department?

A. σ_deptName='Marketing' (EMPLOYEE × DEPARTMENT)

B. π_name, deptName (σ_deptName='Marketing' (EMPLOYEE ⋈ DEPARTMENT))

C. π_name, deptName (EMPLOYEE) ∪ π_deptName (DEPARTMENT)

, D. σ_name, deptName (EMPLOYEE ⋈ DEPARTMENT)

Rationale: The correct sequence is: (1) Join the relations on deptID, (2) Select rows
where deptName = 'Marketing', (3) Project only name and deptName columns. Option A
projects nothing and returns all columns. Option C uses Union incorrectly on
incompatible attributes. Option D misuses selection syntax (selection uses conditions,
not column lists).

Correct Answer: B



Q6. A database analyst needs to identify all customers who have placed an order AND
are also listed in the VIP_CUSTOMER relation. Which relational algebra operation is
most appropriate?

A. Union

B. Difference

C. Intersection

D. Cartesian Product

Rationale: Intersection (∩) returns only tuples that appear in both relations, identifying
customers present in both ORDER and VIP_CUSTOMER. Union would return all
customers from either relation (Option A). Difference would return customers in one but
not the other (Option B). Cartesian Product would combine all rows from both relations
(Option D).

Correct Answer: C

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