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WGU D545 Exam Actual Exam 2026/2027 | Questions with Verified Answers | 100% Correct | Pass Guaranteed

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WGU D545 EXAM ACTUAL EXAM 2026/2027 | PASS GUARANTEED Prepare with the actual WGU D545 Exam - Pass Guaranteed! This resource contains actual exam questions and verified answers for the 2026/2027 WGU D545 Course Examination. Guaranteed to help you pass or your money back. WHAT'S INCLUDED: • Actual Exam Questions from D545 • 100% Verified Answers with detailed rationales • Course Content tested on the actual exam • Complete Material from the real test • 75-Page Professional PDF – Instant digital download • PASS GUARANTEED – Confidence in your success KEY FEATURES: • Actual Exam Content – Real WGU D545 questions • Pass Guarantee – Your success assured • Time-Saving – Study exactly what's on the exam • Score Improvement – Know the actual exam format • Updated for 2026/2027 – Current WGU curriculum ACTUAL EXAM TOPICS: Course Concepts – Actual exam questions Key Principles – Real test scenarios Application Areas – Exam content Practical Scenarios – Practice questions DETAILS: Course: D545 University: Western Governors University (WGU) Exam: Actual Course Examination Year: 2026/2027 Format: PDF (Printable, Searchable) Delivery: Instant Download

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Uploaded on
January 2, 2026
Number of pages
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Written in
2025/2026
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1




WGU D545 Exam Actual
Exam 2026/2027 | Questions
with Verified Answers | 100%
Correct | Pass Guaranteed

Q001: A data governance committee at a healthcare organization is establishing
policies for handling patient data across multiple departments. The committee must
ensure that data is accurate, consistent, and protected according to regulatory
requirements while enabling appropriate access for clinical and operational needs.
Which of the following is the PRIMARY goal of data governance in this context?
Options:
A. To restrict all data access to senior management only
B. To establish a framework of authority and control over data assets to ensure
proper management throughout the data lifecycle
C. To eliminate the need for data quality assessments
D. To store all data in a single central repository regardless of use case
ANSWER: B
Q002: A financial services company is implementing a data quality management
program. The data quality team identifies that customer account balances are
frequently recorded incorrectly due to system integration issues between the CRM
and core banking platform. Which dimension of data quality is most directly
affected by this problem?

, 2


Options:
A. Data completeness
B. Data accuracy
C. Data timeliness
D. Data uniqueness
ANSWER: B
Q003: A data architect is designing a conceptual data model for a new university
student information system. The model needs to represent students, courses,
instructors, and enrollments without specifying technical implementation details.
Which modeling technique is most appropriate for this initial stage?
Options:
A. Creating physical table structures with primary and foreign keys
B. Developing an Entity-Relationship Diagram (ERD) showing entities and their
relationships
C. Writing SQL DDL statements for database creation
D. Implementing star schema dimensional models
ANSWER: B
Q004: A database administrator is reviewing a relational database design and
identifies that the Customer Orders table contains redundant customer address
information in every order record. This redundancy is causing update anomalies
when customers move. Which normal form violation is most likely occurring?
Options:
A. First Normal Form (1NF)
B. Second Normal Form (2NF)
C. Third Normal Form (3NF)
D. Fourth Normal Form (4NF)

, 3


ANSWER: B
Q005: A data analyst needs to retrieve a list of all products sold in the last quarter
along with their total sales revenue, sorted by revenue descending. The data is
stored in two tables: Products (ProductID, ProductName) and Sales (SaleID,
ProductID, SaleDate, Quantity, UnitPrice). Which SQL query will produce the
required result?
Options:
A. SELECT ProductName, SUM(Quantity) FROM Products JOIN Sales ON
Products.ProductID=Sales.ProductID WHERE SaleDate > '2024-09-30' ORDER
BY SUM(Quantity) DESC
B. SELECT ProductName, SUM(Quantity*UnitPrice) as Revenue FROM Products
p JOIN Sales s ON p.ProductID=s.ProductID WHERE s.SaleDate BETWEEN
'2024-10-01' AND '2024-12-31' GROUP BY ProductName ORDER BY Revenue
DESC
C. SELECT * FROM Products WHERE ProductID IN (SELECT ProductID
FROM Sales)
D. SELECT ProductName, AVG(UnitPrice) FROM Products LEFT JOIN Sales
ON Products.ProductID=Sales.ProductID GROUP BY ProductName
ANSWER: B
Q006: A business intelligence team is designing an enterprise data warehouse to
support analytical reporting for sales, marketing, and finance departments. The
team needs to optimize the structure for fast query performance and simplified
reporting. Which data modeling approach is most suitable for this analytics-
focused environment?
Options:
A. Normalized 3NF relational model
B. Dimensional modeling with star schema
C. Hierarchical database model
D. Network database model

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