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Data Management Fundamentals Questions 116–120 (page: 25)

Updated On: 10-Feb-2026

Data governance represents:

  1. A federated government style of data management
  2. An inherent separation of duty between oversight and execution
  3. An initiative that addresses the financial accuracy of the balance sheet
  4. A joint effort in defining the data quality rules and profiling the data
  5. An organisation structure with a number of key roles

Answer(s): B

Explanation:

Data governance involves an inherent separation of duties between oversight (which ensures that data management policies, standards, and procedures are followed) and execution (which involves the actual handling, processing, and use of data). This separation helps maintain accountability and ensures that data is managed with integrity, security, and compliance across the organization.



What are the three qualities of an effective Data Governance function?

  1. Sustainable, realistic, embedded
  2. Embedded, systematic, sustainable
  3. Measured, objective, embedded
  4. Optimism, objective, sustainable
  5. Sustainable, embedded, measured

Answer(s): B

Explanation:

An effective Data Governance function should be embedded within the organization's processes, ensuring that data governance practices are integral to everyday operations. It should be systematic, with clear, repeatable processes for managing and overseeing data. Lastly, it needs to be sustainable, meaning the governance framework can be maintained over time, adapting as the organization grows and data management needs evolve.



What is a steward?

  1. A person whose job it is to manage the property of another person
  2. A stakeholder
  3. An employer
  4. A person responsible to follow trends
  5. A sponsor

Answer(s): A

Explanation:

A steward is someone who is responsible for managing, overseeing, or taking care of something on behalf of another party. In the context of data governance, a steward is someone who is responsible for managing data, ensuring its quality, consistency, and accessibility, often acting on behalf of the organization or a specific business unit.



The implementation of data architecture exposes the transformation of data as it moves across the landscape.
A common name for this concept is:

  1. Data modelling
  2. Data lineage
  3. Extract, transformation and load
  4. Data interfacing
  5. Data discovery

Answer(s): B

Explanation:

Data lineage refers to the tracking and visualization of the flow and transformation of data as it moves across various systems and processes within an organization. It provides insight into the origins, transformations, and destinations of data, helping to understand how data changes over time and ensuring transparency and accountability in data management.



Enterprise data architects in an application migration project are primarily concerned with:

  1. Data mapping specifications
  2. Changes to business processes
  3. Mapping of data to business process
  4. Mapping outliers
  5. Resolving data complexity

Answer(s): A

Explanation:

Enterprise data architects in an application migration project are primarily focused on data mapping specifications, which involve defining how data from the old system will be mapped to the new system. This ensures that the data is correctly transformed, organized, and compatible with the new application, supporting the overall migration process.



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