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WGU C175 Data Management Foundations Exam Latest 2026 Actual Questions and Correct Answers (Latest 2026 / 2027 Update) Graded A+ 100% Guarantee Verified by Experts.

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WGU C175 Data Management Foundations Exam Latest 2026 Actual Questions and Correct Answers (Latest 2026 / 2027 Update) Graded A+ 100% Guarantee Verified by Experts. WGU C175 Data Management Foundations Exam 2026–2027 | Latest Study Guide, Practice Questions & Verified Answers | Data Management Foundations C175 Assessment Prep | Database Concepts, SQL, Data Modeling, Normalization, ERD Review | Expert-Verified Exam Preparation | INSTANT PDF DOWNLOAD – Master WGU C175 Data Management Foundations with this comprehensive 2026–2027 exam preparation resource. Covers database management fundamentals, relational databases, SQL concepts, normalization, entity relationship diagrams (ERDs), data modeling, database design, primary and foreign keys, business rules, data integrity, and assessment review questions with detailed explanations. Ideal for students preparing for the WGU C175 objective assessment and seeking additional study support. Organized for efficient review of key concepts commonly covered in Data Management Foundations coursework.

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WGU C175 Data Management
Foundations Q u e s t i o n s a n d A n s w e r s

1. ad hoc query: A "spur-of-the-moment" question


2. analytical database: A database focused primarily on storing historical data and business
metrics used for tactical or strategic decision making


3. availability: In the context of data security, it refers to the accessibility of data whenever required
by authorized users and for authorized purposes


4. centralized database: A database located at a single site


5. cloud database: A database that is created and maintained using cloud services, such as
Microsoft Azure or Amazon AWS


6. data: Raw facts, or facts that have not yet been processed to reveal their meaning to the end user


7. data anomaly: An abnormality of the data in which inconsistent changes have been made to
a database (For example, an employee moves, but the address changes is not corrected in all files in
the database)


8. data dependence: A data condition in which data representation and manipulation are


,dependent on the physical data storage characteristics


9. data dictionary: A DBMS component that stores metadata. Contains the data definition,
as well as their characteristics and relationships


10. data inconsistency: A condition in which ditterent versions of the same data yield
ditterent results


11. data independence: A condition in which data access is unattected by changes in the
physical data storage characteristics


12. data integrity: In a relational database, a condition in which the data in the database
complies with all entity and referential integrity constraints


13. data management: A process that focuses on data collection, storage, and retrieval.


14. data processing (DP) specialist: The person responsible for developing and
managing a comput- erized file processing system


15. data redundancy: Exists when the same data is stored unnecessarily at ditterent
places


16. database: A shared, integrated computer structure that houses a collection of related data
including end-user data (raw facts) and metadata (data about the data)




, 17. database design: The process that yields the description of the database structure
and determines the database components. The second phase of the database life cycle


18. database management system (DBMS): The collection of programs that
manages the database structure and controls access to the data stored in the database


19. database system: An organization of components that defines and regulates the
collection, storage, management, and use of data in a database environment


20. desktop database: A single-user database that runs on a personal computer




21. discipline-specific database: A database that contains data focused on specific
subject areas


22. enterprise database: The overall company data representation, which provides
support for present and expected future needs


23. field: An alphabetic or numeric character or group of characters that defines a characteristic
of a person, place, or thing. (for example, a person's SSN, address, phone number, and bank balance
all constitute fields)


24. file: A named collection of related records


25. general-purpose database: A database that contains a wide variety of data used in

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