DATA GOVERNANCE FINAL EXAM – QUESTIONS AND ANSWERS |
VERIFIED AND WELL DETAILED ANSWERS | PLUS RATIONALES |
GUARANTEED PASS | LATEST EXAM UPDATE
Core Domains:
1. Data Governance Frameworks and Maturity Models
2. Data Quality Management and Stewardship
3. Regulatory Compliance and Legal Requirements (GDPR, CCPA, HIPAA)
4. Data Privacy, Security, and Ethics
5. Data Architecture and Metadata Management
6. Data Lifecycle Management and Retention Policies
7. Master Data Management (MDM) and Reference Data
8. Risk Management and Data Auditing
9. Organizational Change Management and Data Culture
10. Data Governance Tools and Technology
Introduction
This comprehensive examination assesses a candidate's mastery of data governance principles, practices, and
regulatory frameworks essential for modern organizations. The test evaluates foundational theory, applied professional
knowledge, legal compliance acumen, ethical judgment, and critical decision-making skills across diverse scenarios.
Structured as 200 multiple-choice questions with detailed rationales, this exam emphasizes real-world application,
testing the ability to design governance frameworks, manage data quality, ensure privacy compliance, and lead
organizational change. Candidates must demonstrate readiness to implement robust data governance programs that
balance business value with regulatory requirements and ethical considerations in complex data ecosystems.
,SECTION ONE: QUESTIONS 1–100
Question 1
Which framework is specifically designed to assess and improve an organization's data governance maturity across
multiple dimensions including data quality, metadata management, and data stewardship?
A. COBIT 5
B. DAMA-DMBOK
C. CMMI-DMM
D. TOGAF
🟢 C. CMMI-DMM
🔴 Explanation: The CMMI Data Management Maturity (DMM) model provides a comprehensive framework
specifically designed to assess and improve data governance maturity across key dimensions. It evaluates
organizational capabilities in data management, data quality, data governance, and data operations, providing a
structured path for improvement.
Question 2
Under the GDPR, what is the maximum fine that can be imposed for the most severe violations?
,A. €10 million or 2% of global annual turnover
B. €20 million or 4% of global annual turnover
C. €50 million or 5% of global annual turnover
D. €15 million or 3% of global annual turnover
🟢 B. €20 million or 4% of global annual turnover
🔴 Explanation: GDPR Article 83 establishes two tiers of administrative fines. The highest tier, applicable to the most
severe violations such as non-compliance with core privacy principles or data subject rights, carries a maximum of
€20 million or 4% of global annual turnover, whichever is higher.
Question 3
A data steward is primarily responsible for which of the following activities?
A. Developing data architecture models
B. Overseeing data quality and metadata management for specific data domains
C. Implementing database security controls
D. Managing data center infrastructure
🟢 B. Overseeing data quality and metadata management for specific data domains
🔴 Explanation: Data stewards are domain-specific professionals responsible for ensuring data quality, defining
metadata standards, managing data definitions, and serving as subject matter experts for their assigned data
domains. They bridge business and technical perspectives in data governance.
, Question 4
Which data lifecycle phase involves the transformation and integration of raw data into a usable format for analysis?
A. Data collection
B. Data processing
C. Data storage
D. Data archival
🟢 B. Data processing
🔴 Explanation: The data processing phase includes activities such as data cleansing, transformation, validation, and
integration, converting raw data into a structured format suitable for analysis and business use. This is a critical step
in ensuring data quality and usability.
Question 5
What is the primary purpose of implementing a data catalog in an organization?
A. To store and manage physical data files
B. To provide searchable metadata inventory for data assets
C. To enforce data security policies
D. To perform data analytics
🟢 B. To provide searchable metadata inventory for data assets
VERIFIED AND WELL DETAILED ANSWERS | PLUS RATIONALES |
GUARANTEED PASS | LATEST EXAM UPDATE
Core Domains:
1. Data Governance Frameworks and Maturity Models
2. Data Quality Management and Stewardship
3. Regulatory Compliance and Legal Requirements (GDPR, CCPA, HIPAA)
4. Data Privacy, Security, and Ethics
5. Data Architecture and Metadata Management
6. Data Lifecycle Management and Retention Policies
7. Master Data Management (MDM) and Reference Data
8. Risk Management and Data Auditing
9. Organizational Change Management and Data Culture
10. Data Governance Tools and Technology
Introduction
This comprehensive examination assesses a candidate's mastery of data governance principles, practices, and
regulatory frameworks essential for modern organizations. The test evaluates foundational theory, applied professional
knowledge, legal compliance acumen, ethical judgment, and critical decision-making skills across diverse scenarios.
Structured as 200 multiple-choice questions with detailed rationales, this exam emphasizes real-world application,
testing the ability to design governance frameworks, manage data quality, ensure privacy compliance, and lead
organizational change. Candidates must demonstrate readiness to implement robust data governance programs that
balance business value with regulatory requirements and ethical considerations in complex data ecosystems.
,SECTION ONE: QUESTIONS 1–100
Question 1
Which framework is specifically designed to assess and improve an organization's data governance maturity across
multiple dimensions including data quality, metadata management, and data stewardship?
A. COBIT 5
B. DAMA-DMBOK
C. CMMI-DMM
D. TOGAF
🟢 C. CMMI-DMM
🔴 Explanation: The CMMI Data Management Maturity (DMM) model provides a comprehensive framework
specifically designed to assess and improve data governance maturity across key dimensions. It evaluates
organizational capabilities in data management, data quality, data governance, and data operations, providing a
structured path for improvement.
Question 2
Under the GDPR, what is the maximum fine that can be imposed for the most severe violations?
,A. €10 million or 2% of global annual turnover
B. €20 million or 4% of global annual turnover
C. €50 million or 5% of global annual turnover
D. €15 million or 3% of global annual turnover
🟢 B. €20 million or 4% of global annual turnover
🔴 Explanation: GDPR Article 83 establishes two tiers of administrative fines. The highest tier, applicable to the most
severe violations such as non-compliance with core privacy principles or data subject rights, carries a maximum of
€20 million or 4% of global annual turnover, whichever is higher.
Question 3
A data steward is primarily responsible for which of the following activities?
A. Developing data architecture models
B. Overseeing data quality and metadata management for specific data domains
C. Implementing database security controls
D. Managing data center infrastructure
🟢 B. Overseeing data quality and metadata management for specific data domains
🔴 Explanation: Data stewards are domain-specific professionals responsible for ensuring data quality, defining
metadata standards, managing data definitions, and serving as subject matter experts for their assigned data
domains. They bridge business and technical perspectives in data governance.
, Question 4
Which data lifecycle phase involves the transformation and integration of raw data into a usable format for analysis?
A. Data collection
B. Data processing
C. Data storage
D. Data archival
🟢 B. Data processing
🔴 Explanation: The data processing phase includes activities such as data cleansing, transformation, validation, and
integration, converting raw data into a structured format suitable for analysis and business use. This is a critical step
in ensuring data quality and usability.
Question 5
What is the primary purpose of implementing a data catalog in an organization?
A. To store and manage physical data files
B. To provide searchable metadata inventory for data assets
C. To enforce data security policies
D. To perform data analytics
🟢 B. To provide searchable metadata inventory for data assets
