DMBK2: Data Governance & Data Ethics (chapters 2 and 3)
Quiz by Виктория Инзина
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- Q1
According to the DMBoK, Data Governance is at the heart of all Information Management disciplines.
truefalseTrue or False120s - Q2
According to the course, Data Governance is?
All the above
The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets
The planning, implementation, and control of activities that apply Quality Management techniques to data, in order to assure it is fit for consumption and meets the needs of data consumers
The design, implementation, and support of stored data to maximize its value
120s - Q3
Which of these is NOT a standard motivation for Data Governance?
Pre-emptive governance
Devolved governance
Reactive governance
Proactive governance
120s - Q4
Why is Data Governance critical?
All of the above
To make the management of information front and center and part of the culture
The explosion of big data and other technologies around AI and machine learning
The proliferation of data-centric systems
120s - Q5
Which of these does NOT characterize an effective data steward?
He or she works collaboratively across the organization with data stakeholders and others identifying data problems and issues
He or she works in association with the data owner to protect and enhance the data assets under his or her control
He or she is a highly experienced technical expert in a variety of Data Management disciplines and tools
He or she is a recognized subject matter expert in the data subject area or business domain that he or she is responsible for
120s - Q6
In the Plan Stage of the Information Lifecycle, what is often completed?
Define governance frameworks
Archive and retain data assets
Install or provision servers and networks
Develop conceptual data models
120s - Q7
What elements below are part of the Proactive Stage of Data Governance readiness?
All information silos are fully integrated within master data systems
Root cause analysis feeds into feedback processes
All of the above
Continuous improvement of feedback operating loops
120s - Q8
Statements such as: “Data is accessible,” “Data is fit for purpose,” “Data is managed and secure,” are all examples of what?
Data Management Principles
Statements of Purpose
Data Standards
Use Cases
120s - Q9
What role and responsibility discussed focuses on: providing formats for operational data, assisting data stewards in interpretation and definition, working with a Data Quality Manager, and providing expertise on the Data Governance Council?
Data Analyst
Enterprise Data Manager
Data Custodian
Data Owner
120s - Q10
A common understanding of the core business concepts and terminology is the objective of which deliverable?
Data Warehouse Architecture
Data Dictionary
Business Glossary
Security Framework
120s - Q11
True or False: The DGO works to leverage Data Governance at initiation to ensure a consistent understanding of data needs and the function usage of data.
truefalseTrue or False120s - Q12
Data Governance Working Groups often include?
Data Owners and Heads of Business Divisions
Data Owners and Data Governance Manager
Heads of Business Divisions
Data Governance Managers
120s - Q13
GDPR and PIPEDA are examples of?
Global Data Modeling standards
Data protection regulations
Data program rules
Content management systems
120s - Q14
Data Governance is a business change program.
truefalseTrue or False120s - Q15
According to the DAMA DMBoK, the Data Governance Council (DGC) is the highest-authority organization for Data Governance in an organization. Who should typically chair this Council?
Chief Data Steward (Business)/Chief Data Officer
The Chief Information Officer (CIO)
The Chief Data Architect
C-level participant in the DGC
120s