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WGU D426 Full Module Verified Multiple Choice and Conceptual Actual Frequently Tested Exam Questions With Reviewed 100% Correct Detailed Answers Guaranteed Pass!!Current Update!!

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WGU D426 Full Module Verified Multiple Choice and Conceptual Actual Frequently Tested Exam Questions With Reviewed 100% Correct Detailed Answers Guaranteed Pass!!Current Update!! 1. Database Fundamentals & Roles • Definition and purpose of database applications • Key roles: Database Administrator, Designer, Programmer, and User • Concepts of authorization, transaction management, and data integrity 2. System Components & Architecture • Query Processor: query interpretation, optimization, plan creation • Storage Manager: translating instructions to file system operations • Transaction Manager: ensuring reliable, atomic operations and consistency 3. Database Design Phases • Conceptual (Analysis): identifying entities, attributes, relationships • Logical Design: translating models into tables, keys, columns • Physical Design: storage structures, indexing, performance tuning • Principle of Data Independence (physical design doesn’t alter query results) 4. Core Elements: Tables, Rows & Columns • Tables (relations), columns (fields), and rows (tuples) • Synonymous terms: Table ≈ File/Relation; Row ≈ Record/Tuple; Column ≈ Field/Attribute 5. Data Processing Languages (SQL Sublanguages) • DDL – Data Definition Language (e.g., CREATE, DROP, ALTER) • DML – Data Manipulation Language (e.g., INSERT, UPDATE, DELETE) • DQL – Data Query Language (SELECT statements) • DCL – Data Control Language (permissions management) • DTL – Data Transaction Language (transactions & rollbacks) 6. SQL Syntax & Operations • Data types: INT, DECIMAL, VARCHAR, DATE • Commands: CREATE TABLE, DROP TABLE, ALTER TABLE (ADD/CHANGE/DROP column) • Operators: BETWEEN, LIKE, DISTINCT, ORDER BY, arithmetic and comparison operators • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX 7. Queries & Joins • JOIN Types: INNER, LEFT, RIGHT, FULL, OUTER, SELF, CROSS, Equi-join, Non-equi join • Subqueries: nested queries, correlated vs. non-correlated • Set Operations: UNION, INTERSECT, EXCEPT (implicit in some material) 8. Entity-Relationship (ER) Modeling • Concepts: Entities, Attributes, Relationships, Instances, Types • ER Diagrams: notation including Crow’s Foot, cardinality constraints, supertype/subtype, partitions 9. Keys & Data Integrity • Keys: Primary Key, Composite, Artificial keys, Candidate keys • Dependencies: Functional dependency, trivial vs. non-trivial • Enforcing Referential Integrity via key constraints 10. Normalization • Normal forms: 1NF, 2NF, 3NF, and Boyce-Codd Normal Form (BCNF) • Purpose: eliminating redundancy and promoting logical consistency 11. Indexing & Performance • Index types: Dense vs. Sparse, Hash, Bitmap, Multi-level indexes • Table types: Heap, Sorted, Hash, Clusters, Tablespaces • Concepts: Table scans vs. Index scans, Hit ratio (selectivity), Binary search, Query performance 12. Emerging Technologies • Brief exposure to NoSQL systems (e.g., MongoDB, open-source, big data contexts

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2025/2026
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WGU D426 Full Module Verified Multiple
Choice and Conceptual Actual Frequently
Tested Exam Questions With Reviewed 100%
Correct Detailed Answers

Guaranteed Pass!!Current Update!!


1. Database Fundamentals & Roles

• Definition and purpose of database applications

• Key roles: Database Administrator, Designer, Programmer, and User

• Concepts of authorization, transaction management, and data integrity


2. System Components & Architecture

• Query Processor: query interpretation, optimization, plan creation

• Storage Manager: translating instructions to file system operations

• Transaction Manager: ensuring reliable, atomic operations and consistency


3. Database Design Phases

• Conceptual (Analysis): identifying entities, attributes, relationships

• Logical Design: translating models into tables, keys, columns

• Physical Design: storage structures, indexing, performance tuning

• Principle of Data Independence (physical design doesn’t alter query results)


4. Core Elements: Tables, Rows & Columns

• Tables (relations), columns (fields), and rows (tuples)

• Synonymous terms: Table ≈ File/Relation; Row ≈ Record/Tuple; Column ≈ Field/Attribute


5. Data Processing Languages (SQL Sublanguages)

, • DDL – Data Definition Language (e.g., CREATE, DROP, ALTER)

• DML – Data Manipulation Language (e.g., INSERT, UPDATE, DELETE)

• DQL – Data Query Language (SELECT statements)

• DCL – Data Control Language (permissions management)

• DTL – Data Transaction Language (transactions & rollbacks)


6. SQL Syntax & Operations

• Data types: INT, DECIMAL, VARCHAR, DATE

• Commands: CREATE TABLE, DROP TABLE, ALTER TABLE (ADD/CHANGE/DROP column)

• Operators: BETWEEN, LIKE, DISTINCT, ORDER BY, arithmetic and comparison operators

• Aggregate Functions: COUNT, SUM, AVG, MIN, MAX


7. Queries & Joins

• JOIN Types: INNER, LEFT, RIGHT, FULL, OUTER, SELF, CROSS, Equi-join, Non-equi join

• Subqueries: nested queries, correlated vs. non-correlated

• Set Operations: UNION, INTERSECT, EXCEPT (implicit in some material)


8. Entity-Relationship (ER) Modeling

• Concepts: Entities, Attributes, Relationships, Instances, Types

• ER Diagrams: notation including Crow’s Foot, cardinality constraints, supertype/subtype,
partitions


9. Keys & Data Integrity

• Keys: Primary Key, Composite, Artificial keys, Candidate keys

• Dependencies: Functional dependency, trivial vs. non-trivial

• Enforcing Referential Integrity via key constraints


10. Normalization

• Normal forms: 1NF, 2NF, 3NF, and Boyce-Codd Normal Form (BCNF)

, • Purpose: eliminating redundancy and promoting logical consistency


11. Indexing & Performance

• Index types: Dense vs. Sparse, Hash, Bitmap, Multi-level indexes

• Table types: Heap, Sorted, Hash, Clusters, Tablespaces

• Concepts: Table scans vs. Index scans, Hit ratio (selectivity), Binary search, Query performance


12. Emerging Technologies

• Brief exposure to NoSQL systems (e.g., MongoDB, open-source, big data contexts)




Database Fundamentals & Purpose
Q1. What is the primary purpose of a database application?
A. To replace programming languages
B. To store, retrieve, and manage data efficiently
C. To act as a file explorer for users
D. To remove the need for a database administrator
Answer: B
Q2. Which of the following best describes a database?
A. A collection of unrelated data
B. A self-describing collection of integrated records
C. A folder of files on a hard drive
D. An application interface
Answer: B
Q3. A database application is primarily designed to:
A. Store only unstructured data
B. Enforce data integrity and facilitate user interaction with data
C. Replace spreadsheets entirely

, D. Prevent data from being modified
Answer: B
Q4. Which of the following is an advantage of using a database system over a flat
file system?
A. Increased redundancy
B. Data independence and reduced inconsistency
C. Lack of constraints
D. Easier manual file handling
Answer: B

Q5. Metadata in a database refers to:
A. The actual user data stored in tables
B. Data about the structure of data (e.g., column names, types)
C. System errors generated by queries
D. Backup copies of databases
Answer: B
Q6. Who is primarily responsible for the installation, configuration, security, and
maintenance of databases?
A. Database Programmer
B. Database Designer
C. Database Administrator (DBA)
D. Database User
Answer: C
Q7. Which role focuses on creating the conceptual and logical design of the
database?
A. Programmer
B. Designer
C. DBA
D. End user
Answer: B

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