Data Management Fundamentals Questions and Answers
Question 33
Data Governance deliverables commonly include:
Options:
A.
Data value chains
B.
IT methodology and practices
C.
Business culture assessment
D.
Roadmaps and implementation strategy
E.
Regulatory requirements
Answer:
A, D
Explanation:
Data governance deliverables include data value chains and roadmaps for implementation. The DAMA-DMBOK states: “Common data governance deliverables include data value chains that align data with business capabilities and roadmaps with implementation strategies to achieve governance objectives” (DMBOK2, Chapter 3: Data Governance, p. 115). Options A and D are correct; others are tangential.
[Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 3.4, p. 115., ]
Question 34
Data Fabric is:
Options:
A.
A way of sewing together different data concepts into a single data warehouse
B.
A metadata repository
C.
A form of data lake that automates data acquisition and initial data quality processing
D.
A superior star schema strategy
E.
Just another data warehouse with no distinguishing features
Answer:
C
Explanation:
Data Fabric is an advanced data architecture that integrates data lakes with automation for data acquisition and quality processing. The DAMA-DMBOK states: “Data Fabric is a form of data lake that leverages metadata and automation to streamline data acquisition, integration, and initial quality processing, enabling agile data access” (DMBOK2, Chapter 4: Data Architecture, p. 161).
Options A, B, D, and E are incorrect: A is metaphorical, B is too narrow, D relates to data warehousing, and E dismisses Data Fabric’s unique features.
[Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161., ]
Question 35
Those responsible for the data-sharing environment have an obligation to downstream data consumers to provide high quality data.
Options:
A.
TRUE
B.
FALSE
Answer:
A
Question 36
Naming standards for data domains should:
Options:
A.
Contain acronyms that are relevant to the organization because everyone should know them
B.
Be approved by the database administrators
C.
Minimize name changes across environments
D.
Should reflect their specific environment such as QA, Pre-Prod and Production