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Wgu C175/D426 Data Management Foundations Oa Exam Latest 2025 With Actual Questions And Correct Verified Answers Already Graded A+ 100% Guaranteed Pass!

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WGU C175/D426 DATA MANAGEMENT FOUNDATIONS OA EXAM LATEST 2025 WITH ACTUAL QUESTIONS AND CORRECT VERIFIED ANSWERS ALREADY GRADED A+ 100% GUARANTEED PASS!

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WGU C175/D426 DATA MANAGEMENT FOUNDATIONS
OA EXAM LATEST 2025 WITH ACTUAL QUESTIONS AND
CORRECT VERIFIED ANSWERS ALREADY GRADED A+
100% GUARANTEED PASS!




Foreign Key matching - CORRECT 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.


Alternate Key - CORRECT ANSWER-What uniquely identifies each entity in a
collection of entities but is not the primary key.


Candidate Key - CORRECT ANSWER-A set of columns in a table that can
uniquely identify any record in that table without referring to other data.


Database indexing - CORRECT ANSWER-The original data is copied to the
index.


Indexes in physical database design - CORRECT ANSWER-To retrieve data
DIRECTLY using a pointer.


Index creation on a database column - CORRECT ANSWER-To optimize data
retrievals.

,Modality - CORRECT 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.


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


Ways Referential Integrity can be violated - CORRECT 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 - CORRECT 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.


Important aspect of Referential Integrity - CORRECT ANSWER-Reference to
data in one relation is based on values in another relation.


Broad definition of data - CORRECT ANSWER-Raw facts captured on printed
or digital media.


Data - CORRECT ANSWER-Facts that are collected and stored in a database
system.


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

,Flat files - CORRECT ANSWER-They contain no internal hierarchical
organization.


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


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


Functional Dependency - CORRECT ANSWER-Each value of a column relates
to at MOST one value of another column.


Rules/Appearance of First Normal Form - CORRECT ANSWER-- All non-key
columns depend on primary key - Each table cell contains one value - A table
with no duplicate rows.


Rules/Appearance of Second Normal Form - CORRECT ANSWER-- When all
non-key columns depend on the WHOLE primary key - Must be in 1NF - Non-
key column can not depend on just one part of a composite key - a single
primary key is automatically in 2NF.


Rules/Appearance of Third Normal Form - CORRECT ANSWER-- All non-key
columns depend ONLY on the primary key - Tables are totally free of data
redundancy.


Differences between operational and analytical databases - CORRECT
ANSWER-- Volatility - Detail - Scope - History.

, Volatility - CORRECT ANSWER-Database updates in real time. Operational
Data is Volatile. Analytical Data is NOT Volatile.


Detail in databases - CORRECT ANSWER-- A database that keeps record of
individual transactions; line items - Operational: Detailed - Analytical: Detailed.


Scope in databases - CORRECT ANSWER-- How far a database can reach -
Operational: incompatible - Analytical: Enterprise-Wide/Summary.


History in databases - CORRECT ANSWER-- Whether DB is current or tracks
all data - Operational: Current only - Analytical: Tracks trends.


Data warehouse refresh process - CORRECT ANSWER-1. Extraction 2. Cleanse
3. Integrate 4. Restructure 5. Load.


Extraction in ETL - CORRECT ANSWER-Data extracted and put into staging
area.


Cleanse in ETL - CORRECT ANSWER-Errors are eliminated from data; standard
abbreviations applied.


Integrate in ETL - CORRECT ANSWER-Data is put into a uniform structure;
Data converted to uniform structure.


Restructure in ETL - CORRECT ANSWER-Data is structured in a design that is
optimal for analysis.


Load in ETL - CORRECT ANSWER-Data is loaded to the data warehouse.

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Subido en
6 de mayo de 2025
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