MISY 5340 EXAM 4 | QUESTIONS AND
ANSWERS | 2026/27 UPDATED | 100%
CORRECT - LAMAR UNIVERSITY.
90 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
MISY 5340 EXAM 4 | QUESTIONS AND ANSWERS | 2026/27 UPDATED | 100% CORRECT - LAMAR
UNIVERSITY.. It contains 90 carefully selected questions that reflect the most current exam content and testing
strategies. Each question is accompanied by a correct answer and a detailed rationale that explains the
underlying pathophysiology, pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 90 Questions
Foundations - Application - MISY 5340 4 AND 2026/27 Updated 100 Correct - Lamar University
Management Information Systems Graduate
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Database Design AND 1-15 Critical, System, Governance, Cloud, Table
Normalization
SQL Queries AND DATA 16-30 Business, Queries, Ensure, Evaluating, Appropriate
Manipulation
DATA Warehousing AND 31-45 Model, System, Critical, Business, Multinational
OLAP
DATA Mining AND 46-60 Approach, System, Across, Company, Strategy
Knowledge Discovery
BIG DATA Technologies AND 61-75 Analytics, Primary, Modern, Enterprise, Approach
Nosql
DATA Visualization AND 76-90 Project, Business, Customer, Appropriate, Analyst
Reporting
TOTAL 90 All questions include answers and detailed rationales
,Section A - Database Design AND Normalization
Q1.
A multinational corporation is decentralizing IT decision-making to regional units to
improve agility. However, the C-suite is concerned about inconsistent data standards.
Which IT governance framework best addresses this tension by balancing central control
with local flexibility?
A. COBIT 2019 B. ITIL 4
C. TOGAF 9.2 D. Six Sigma
Correct: A - COBIT 2019
Rationale:COBIT 2019 explicitly supports a hybrid governance approach, allowing
enterprises to vary the balance of centralized and decentralized decision-making based on
design factors. ITIL focuses on service management, TOGAF on architecture, and Six Sigma
on process improvement, none of which specifically address governance balance.
Why the other answers are wrong:
B. ITIL 4 is oriented toward service lifecycle management, not strategic governance balance.
C. TOGAF is an architecture framework, not a governance model for decision rights.
D. Six Sigma is a quality improvement methodology, not an IT governance framework.
Reference: Weill, P., & Ross, J. (2004). IT Governance. Harvard Business School Press; ISACA (2019).
COBIT 2019 Framework.
Q2.
In a large healthcare enterprise, a data lake integrates unstructured physician notes and
structured lab results. To ensure compliance with HIPAA and internal quality standards,
what is the most critical data governance practice to implement?
A. Data lineage tracking B. Data masking
C. Master data management D. Data provenance documentation
Correct: D - Data provenance documentation
Rationale:Data provenance is essential for regulatory compliance and trust, as it records the
origin and transformations of data. While lineage shows movement, provenance provides the
detailed history needed for auditing. Masking protects privacy but doesn't ensure quality;
MDM is for consistency of master entities, not all data.
Why the other answers are wrong:
A. Lineage shows data flow but lacks the detailed source documentation required for
compliance.
B. Masking addresses privacy but not the integrity or origin of data.
Page 3
, Section A - Database Design AND Normalization
C. MDM focuses on master entities like patients, not all unstructured data.
Reference: DAMA-DMBOK (2017). Data Management Body of Knowledge, 2nd Ed.
Q3.
A retailer deploys an AI-based dynamic pricing system that adjusts prices in real time.
Which combination of ethical principles and regulatory compliance is MOST critical to
mitigate risks of price discrimination?
A. Transparency and fairness B. Privacy and security
C. Accountability and robustness D. Explainability and human oversight
Correct: A - Transparency and fairness
Rationale:Dynamic pricing risks unfair discrimination; transparency about pricing logic and
fairness are paramount. While explainability and oversight are important, they are tools to
achieve transparency and fairness. Privacy and security are less central to the discrimination
risk.
Why the other answers are wrong:
B. Privacy and security are relevant but not the primary ethical concerns for price
discrimination.
C. Accountability and robustness are secondary to the direct issue of fairness.
D. Explainability and oversight support fairness but are not the ultimate ethical principles.
Reference: European Commission (2019). Ethics Guidelines for Trustworthy AI.
Q4.
Which cryptographic approach is best suited for securing data in a multi-tenant cloud
environment where data must be queried without decryption by the cloud provider?
A. Homomorphic encryption B. Tokenization with format-preserving
encryption
C. Transport Layer Security (TLS) with D. Client-side encryption with envelope
mutual authentication encryption
Correct: A - Homomorphic encryption
Rationale:Homomorphic encryption allows computations on ciphertext, enabling queries
without decryption, thus keeping data confidential from the cloud provider. Tokenization
doesn't support arbitrary queries. TLS only secures transit, and client-side encryption requires
decryption for processing.
Why the other answers are wrong:
B. Tokenization is for secure storage but cannot perform operations on encrypted data.
C. TLS secures data in transit, not at rest or during processing.
D. Client-side encryption still requires decryption for server-side processing.
Page 4
ANSWERS | 2026/27 UPDATED | 100%
CORRECT - LAMAR UNIVERSITY.
90 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
MISY 5340 EXAM 4 | QUESTIONS AND ANSWERS | 2026/27 UPDATED | 100% CORRECT - LAMAR
UNIVERSITY.. It contains 90 carefully selected questions that reflect the most current exam content and testing
strategies. Each question is accompanied by a correct answer and a detailed rationale that explains the
underlying pathophysiology, pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 90 Questions
Foundations - Application - MISY 5340 4 AND 2026/27 Updated 100 Correct - Lamar University
Management Information Systems Graduate
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Database Design AND 1-15 Critical, System, Governance, Cloud, Table
Normalization
SQL Queries AND DATA 16-30 Business, Queries, Ensure, Evaluating, Appropriate
Manipulation
DATA Warehousing AND 31-45 Model, System, Critical, Business, Multinational
OLAP
DATA Mining AND 46-60 Approach, System, Across, Company, Strategy
Knowledge Discovery
BIG DATA Technologies AND 61-75 Analytics, Primary, Modern, Enterprise, Approach
Nosql
DATA Visualization AND 76-90 Project, Business, Customer, Appropriate, Analyst
Reporting
TOTAL 90 All questions include answers and detailed rationales
,Section A - Database Design AND Normalization
Q1.
A multinational corporation is decentralizing IT decision-making to regional units to
improve agility. However, the C-suite is concerned about inconsistent data standards.
Which IT governance framework best addresses this tension by balancing central control
with local flexibility?
A. COBIT 2019 B. ITIL 4
C. TOGAF 9.2 D. Six Sigma
Correct: A - COBIT 2019
Rationale:COBIT 2019 explicitly supports a hybrid governance approach, allowing
enterprises to vary the balance of centralized and decentralized decision-making based on
design factors. ITIL focuses on service management, TOGAF on architecture, and Six Sigma
on process improvement, none of which specifically address governance balance.
Why the other answers are wrong:
B. ITIL 4 is oriented toward service lifecycle management, not strategic governance balance.
C. TOGAF is an architecture framework, not a governance model for decision rights.
D. Six Sigma is a quality improvement methodology, not an IT governance framework.
Reference: Weill, P., & Ross, J. (2004). IT Governance. Harvard Business School Press; ISACA (2019).
COBIT 2019 Framework.
Q2.
In a large healthcare enterprise, a data lake integrates unstructured physician notes and
structured lab results. To ensure compliance with HIPAA and internal quality standards,
what is the most critical data governance practice to implement?
A. Data lineage tracking B. Data masking
C. Master data management D. Data provenance documentation
Correct: D - Data provenance documentation
Rationale:Data provenance is essential for regulatory compliance and trust, as it records the
origin and transformations of data. While lineage shows movement, provenance provides the
detailed history needed for auditing. Masking protects privacy but doesn't ensure quality;
MDM is for consistency of master entities, not all data.
Why the other answers are wrong:
A. Lineage shows data flow but lacks the detailed source documentation required for
compliance.
B. Masking addresses privacy but not the integrity or origin of data.
Page 3
, Section A - Database Design AND Normalization
C. MDM focuses on master entities like patients, not all unstructured data.
Reference: DAMA-DMBOK (2017). Data Management Body of Knowledge, 2nd Ed.
Q3.
A retailer deploys an AI-based dynamic pricing system that adjusts prices in real time.
Which combination of ethical principles and regulatory compliance is MOST critical to
mitigate risks of price discrimination?
A. Transparency and fairness B. Privacy and security
C. Accountability and robustness D. Explainability and human oversight
Correct: A - Transparency and fairness
Rationale:Dynamic pricing risks unfair discrimination; transparency about pricing logic and
fairness are paramount. While explainability and oversight are important, they are tools to
achieve transparency and fairness. Privacy and security are less central to the discrimination
risk.
Why the other answers are wrong:
B. Privacy and security are relevant but not the primary ethical concerns for price
discrimination.
C. Accountability and robustness are secondary to the direct issue of fairness.
D. Explainability and oversight support fairness but are not the ultimate ethical principles.
Reference: European Commission (2019). Ethics Guidelines for Trustworthy AI.
Q4.
Which cryptographic approach is best suited for securing data in a multi-tenant cloud
environment where data must be queried without decryption by the cloud provider?
A. Homomorphic encryption B. Tokenization with format-preserving
encryption
C. Transport Layer Security (TLS) with D. Client-side encryption with envelope
mutual authentication encryption
Correct: A - Homomorphic encryption
Rationale:Homomorphic encryption allows computations on ciphertext, enabling queries
without decryption, thus keeping data confidential from the cloud provider. Tokenization
doesn't support arbitrary queries. TLS only secures transit, and client-side encryption requires
decryption for processing.
Why the other answers are wrong:
B. Tokenization is for secure storage but cannot perform operations on encrypted data.
C. TLS secures data in transit, not at rest or during processing.
D. Client-side encryption still requires decryption for server-side processing.
Page 4
