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WGU C175 Final Exam 1+2 – Questions & Answers 2026 [Graded A+]

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What does Modality refers to? How does it appear on ER diagram? - Answer-Refers to the MINIMUM number of times an instance in one entity can be associated with instance of another entity (minima). Appears as a 0 or 1 on the relationship line, next to cardinality. Define: Referential Integrity - Answer-Requires that ALL foreign key values must either be fully NULL or match some primary key value. 4 Ways Referential Integrity can be violated - Answer-1. Primary key is updated 2. Foreign key is updated 3. Row containing primary key is DELETED 4. Row containing foreign key is INSERTED. Actions to Correct Referential Integrity Violation - Answer-1. RESTRICT - rejects an insert, update, or delete 2. SET NULL - sets invalid foreign keys to null 3. SET DEFAULT - sets invalid foreign keys to a default primary value 4. CASCADE - propagates primary key changes to foreign keys.

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WGU C175 Final Exam 1+2 – Questions &
Answers 2026 [Graded A+]


What does Modality refers to? How does it appear on ER diagram? - Answer-Refers to
the MINIMUM number of times an instance in one entity can be associated with
instance of another entity (minima). Appears as a 0 or 1 on the relationship line, next to
cardinality.

Define: Referential Integrity - Answer-Requires that ALL foreign key values must either
be fully NULL or match some primary key value.

4 Ways Referential Integrity can be violated - Answer-1. Primary key is updated 2.
Foreign key is updated 3. Row containing primary key is DELETED 4. Row containing
foreign key is INSERTED.

Actions to Correct Referential Integrity Violation - Answer-1. RESTRICT - rejects an
insert, update, or delete 2. SET NULL - sets invalid foreign keys to null 3. SET
DEFAULT - sets invalid foreign keys to a default primary value 4. CASCADE -
propagates primary key changes to foreign keys.

What is an Important aspect of Referential Integrity - Answer-Reference to data in one
relation is based on values in another relation.

What is Broad definition of data - Answer-Raw facts captured on printed or digital
media.

What Data - Answer-Facts that are collected and stored in a database system.

Determining characteristic of unstructured data - Answer-It does not follow a data
model.

Flat files - Answer-They contain no internal hierarchical organization.

Data retrieval before database management systems - Answer-Sequentially from simple
files.

Primary Key - Answer-An attribute or group of attributes that uniquely identify a tuple in
a relation.

,Foreign Key matching - Answer-A domain of values is necessary for a primary key in
one relation of a database to match with its corresponding foreign key in another
relation of the same database.



partial dependencies - Answer-Dependencies based on only a part of a composite
primary key.

1NF relationship - Answer-A table that has all key attributes defined, no repeating
groups, and all its attributes are dependent on the primary key.

INSERT - Answer-The SQL command that lets you insert data into a table, one row at a
time.

UPDATE - Answer-The SQL command that enables you to make changes in the data.

SELECT * FROM PRODUCT; - Answer-The SQL command used to list all the contents
of the PRODUCT table.

DELETE - Answer-The SQL command used to delete a table row.

LIKE - Answer-A special operator used to check for similar character strings in SQL.

DROP - Answer-The SQL command that can delete a table from the database.

SET columnname = expression - Answer-The command that replaces ***** in the
UPDATE tablename ***** [WHERE conditionlist]; statement.

full outer join - Answer-Returns rows with matching values and includes all rows from
both tables (T1 and T2) with unmatched values.

ETL - Answer-Extract, Transform, Load in database management.

Transformation - Answer-The step in the ETL process where raw data sets are
aggregated.

data extraction - Answer-Extract or copy raw data from multiple sources and store it in a
staging area.

data transformation - Answer-Transform and consolidate the raw data in the staging
area to prepare it for the target data warehouse.

data loading - Answer-Moves the transformed data from the staging area into the target
data storage or warehouse.

, unnormalized forms - Answer-Tables that have repeating groups, contain multi-valued
fields, or fields that contain multiple values.

affinity grouping - Answer-The process of evaluating relationships between data
elements to demonstrate an affinity or link between objects.

Prediction - Answer-Classifies objects according to an expected future behavior.

Load - Answer-The step of the ETL process focused on moving transformed data into
the data warehouse.

Data warehouse - Answer-The primary source of information that feeds analytical
processing for an organization's data analysis.

Increased profitability and increased throughput - Answer-The set of results a company
should expect from implementing a business intelligence system.

Data Mart - Answer-A subject-oriented data repository smaller than a data warehouse,
normally for a smaller or specific group within an organization.

OLAP vs OLTP - Answer-OLAP is for analysis, and OLTP is for transaction processing.

Staging Area - Answer-The infrastructure where raw data sets are aggregated.

Directed Knowledge Discovery - Answer-Knowledge where you have already identified
the problem you want to resolve.

Undirected Knowledge discovery - Answer-Knowledge where you find patterns within
data sets as a way to discover something interesting or an issue.

Classification - Answer-Examine the attributes of a particular object and assign it a
defined class.

Estimation - Answer-The process of assigning continuously valued numeric value to an
object, such as a credit risk assessment.

Clustering - Answer-Task of taking large collections of objects and dividing them into
smaller groups.

Third Normal Form - Answer-When all non-key columns depend on the key, the whole
key, and nothing but the key.

Fact - Answer-A pair of related values in databases.

Boyce-Codd Form - Answer-The same as third normal form except it applies to all key
columns instead of just non-key columns.

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