Data Governance Quiz Set

How does the DMBOK define Data Governance?

The exercise of executive authority over business data
The process of managing the availability, usability, integrity and security of the data in enterprise systems
The exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets
The process of following data quality rules
The technical implementation of data management systems

What is the role of the Data Governance function in the DMBOK?

The Data Governance function is unrelated to other Data Management functions
The Data Governance function guides all other data management functions
The Data Governance function is only concerned with Data Quality
The Data Governance function enables IT to dictate data rules to the business
The Data Governance function has no formal role

In the Information Management Lifecycle, the Data Governance Activity ‘Implement Data Governance’ is considered in which Lifecycle stage?

Specify
Operate
Maintain and Use
Create and Acquire
Enable

Which of these are NOT a primary business driver for Data Governance?

Regulatory Compliance
Increased usage of analytics and Data Science
Devolved governance
Supporting a Master Data Management initiative
The need to improve Data Quality

The goal of Data Governance is to enable an organisation to manage data as an asset. Which characteristics are necessary for the Data Governance function to achieve this goal?

Sustainable
Embedded
Measured
All of the above
None of the above

Which of these best describes the relationship between Data Governance and Data Management?

Data Governance is ensuring data is managed, whereas Data Management involves managing data to achieve goals
Data Management is ensuring data is managed, whereas Data Governance involves managing data to achieve goals
Data Governance is an IT led initiative, whereas Data Management is a business function
Data Governance is separate from Data Management
Data Governance and Data Management both mean the same thing

Which of these is NOT a principle shared by organisations that get more value from their data?

Data should be managed as a corporate asset
Data Governance should always be led by IT
Data management best practices should be incentivised across the organisation
Enterprise data strategy must be directly aligned with overall business strategy
Data management processes should be continuously improved

Which Data Governance body sets the overall direction for the Data Governance initiative?

Data Quality Board
Data Stewardship Teams
Data Governance Council
IT Governance Council
Data Governance Office

According to the DMBoK, who should chair the Data Governance Council if the Chief Data Officer (CDO) is unavailable or not appointed?

Any Executive / C-level participant in the DGC
The Chief Data Architect
The Chief Information Officer (CIO)
The chair should rotate across the Data Owners
Chief Data Steward (Business)

Which of these is NOT a Data Governance Operating Model type proposed by the DMBOK?

Centralised
Replicated
Federated
Obfuscated
Decentralised

Which of these statements best describe Data Stewardship?

Data Stewardship describes accountability and responsibility for data and processes
All of these statements describe Data Stewardship
Data Stewardship ensures effective control and use of data assets
Data Stewardship can be formalised through job titles and descriptions, or it can be a less formal function
Often terms like custodian or trustee are synonyms for those who carry out Data Stewardship functions

Which of these is NOT a common activity for Data Stewards to perform

Multi-layered data governance
Creating and managing core Metadata
Documenting rules and standards
Managing data quality issues
Executing operational data governance activities

Whenever a new regulation or compliance requirement is enacted, what role does Data Governance play?

Working with business and technical leadership to find the best answers to a standard set of regulatory compliance questions (How, Why, When, etc)
Data Governance has no role in regulatory compliance
Facilitating data access for compliance officers to interrogate
Lobby the regulator for a change the rules and policies
Study the data to identify the compliance problem

Which of the following description best describes a Business Data Steward, according to the DAMA DMBOK?

IT professionals operating within one of the Knowledge Areas, such as Data Integration Specialists, Database Administrators, Business Intelligence Specialists, Data Quality Analysts or Metadata Administrators
Business professionals, most often recognised subject matter experts, accountable for a subset of data. They work with stakeholders to define and control data
Senior managers who serve on a Data Governance Council
Marketing professionals that understand the need for customer data quality
Business Analysts that help define business requirements

Which of these statements best describes Data Policies, according to the DAMA DMBoK?

Data policies are guidelines for the business to follow, but should not take precedence over the immediate business needs for data
Data policies are written by IT professionals to determine data access rights
Data policies are directives that codify principles and management intent into fundamental rules governing the creation, acquisition, integrity, security, quality, and use of data and information
Data policies should only focus on how the organisation should manage data, not on what the organisation can and cannot do with data
Data policies should be written to cover all data requirements, and need to be lengthy documents with many details described within them

According to the DMBOK, when is data governance most effective?

Data governance is most effective when it is run in one functional area, rather than aiming for a big-bang, enterprise approach
Data governance is most effective when planned, operated and controlled by the IT department
Data governance is most effective when data stewards are given adequate training
Data governance is never effective, only data management will deliver the right results
Data governance is most effective when it is an enterprise effort, rather than isolated to a particular functional area

Which of these activities are crucial to planning a DG program and can also be used when managing and sustaining a DG program, according to the DMBOK?

Assessments that document the IT landscape, data quality and data assets
Assessments that describe the data stewards, data owners and data custodians
Assessments that define the budget available for data governance and management activities
Assessments that describe the current state of an organisation’s information management capabilities, maturity, and effectiveness
You do not need to perform any assessments when planning, managing or sustaining a data governance program

Which of these is NOT a type of readiness assessment you would use when planning a Data Governance program?

Data management maturity
Data Profiling
Capacity to change
Collaborative readiness
Business alignment

What is the purpose of the activity “Perform Discovery and Business Alignment” when planning a data governance program, according to the DMBOK?

Discovery allows you to find out more about data governance. Business alignment tells you more about the business
Discovery identifies opportunities where technology can improve data. Business alignment helps the business understand how to use the technology
Discovery can identify opportunities for DG to improve the usefulness of data and content. Business alignment attaches business benefits to DG program elements
Discovery and Business Alignment are not needed when planning a data governance program
Discovery and Business alignment are useful tasks to keep the data governance consultants busy whilst the framework is designed

Which of these is NOT a deliverable included as part of Developing a Data Governance Strategy?

Identify the source systems, data integration touchpoints, and critical data analytics needs of the business
Identify the business drivers, vision, mission, and principles for data governance, including readiness assessment, internal process discovery, and current issues or success criteria
Define the structure and responsibility for data governance activities
A roadmap with timeframes for the roll out of policies and directives, business glossary, architecture, asset valuation, standards and procedures, expected changes to business and technology processes, and deliverables to support auditing activities and regulatory compliance
Describing a target state of sustainable data governance activities

Which of these statements is NOT true of designing a Data Governance Operating Framework

Data governance will be less intense for organisations that only use data as an operational lubricant
The business model, e.g. decentralised vs centralised, local vs international are factors that impact how the DG operating model is defined
Data governance operating framework examples are provided in the DMBOK and can be directly applied to any business
The DG operating model must fit within the organisational culture whilst still progressing change
Highly regulated industries will need a different operating model to less regulated industries

Which of these is NOT a function of the Data Governance Council?

Conducting the final review, revision and adoption of data governance policies
Cross-functional sponsorship and visibility of data management across the Enterprise
Define the business case, oversee project status and progress on data management improvement projects
Evaluating data on a regular basis to assess its accuracy, completeness, consistency, accessibility, uniqueness, compliance, and efficiency
Communicating, monitoring, enforcing and periodically re-evaluating data policies

Change management and communications are vital to the Data governance initiative. According to the DMBOK, a change management program supporting formal Data Governance should focus communications on:

Educating and informing employees about the role data plays in achieving organisational goals
Monitoring and acting on feedback about data governance activities
Implementing data management training
Implementing new metrics and KPIs
All of the above

Issue management is the process of identifying, quantifying, prioritising, and resolving data governance-related issues. According to the DMBOK, what proportion of data issues should be escalated to the Data Governance Steering Committee for resolution?

<5%
<10%
<20%
80-85%
100%

When assessing regulatory compliance requirements, which of the following statements is true?

Regulatory compliance requirements should only be assessed by Legal, Risk and Compliance teams, data governance should not be involved
Regulatory compliance requirements have little or no impact on data rules, policies and standards
Every organisation is equally impacted by regulation, the data governance team should consult DAMA for the standard process to respond
Data governance organisations work with other business and technical leadership to evaluate the implications of regulations
None of the above

According to the DMBOK, which of these statements is NOT true of data standards?

Data standards must be effectively communicated, monitored, and periodically reviewed and updated.
Data standards are technical requirements and do not require the input of business stakeholders
There must be a means to enforce data standards
Data can be measured against standards
Data management activities can be audited for standards compliance by the DGC or the Data Standards Steering Committee on a defined schedule or as part of SDLC approval processes

Which of these is NOT an objective of a Business Glossary?

Creating a list of terms and definitions
Enable common understanding of the core business concepts and terminology
Reduce the risk that data will be misused due to inconsistent understanding of the business concepts
Improve the alignment between technology assets (with their technical naming conventions) and the business organisation
Maximise search capability and enable access to documented institutional knowledge

According to the DMBOK, how does the Data Governance Council oversee and interact with the Data Architecture knowledge area?

The DGC sponsors and approves data architecture artifacts, such as a business-oriented enterprise data model
The enterprise data model should be reviewed, approved, and formally adopted by the DGC
The DGC must ensure the enterprise data model aligns with key business strategies, processes, organisations, and systems
The DGC must ensure that the defined Data strategy and Data Architecture enable coordination between ‘Doing things right’ and ‘Doing the right things’ when managing data assets
All of the above

Which of these is NOT true when considering Tools for Data Governance?

Data governance is fundamentally about organisational behavior
Data governance is most effectively solved through technology
A DG program should take advantage of existing communications channels to communicate key messages in a consistent manner and to keep stakeholders informed about policies, standards, and requirements
The Data Governance program should have an online presence
A Business Glossary is a core DG tool

Which of these metrics is NOT relevant when measuring the progress and communicating the successes of a DG initiative?

Improved efficiency in operations
Extent stewards are using the relevant tools
Growth of the DG team headcount
Performance of policies and processes
Conformance to standards and processes

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