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Data Management Fundamentals Questions 146–150 (page: 31)

Updated On: 10-Feb-2026

A goal of 'Document and Content Management' is to ensure effective and efficient retrieval and use of:

  1. Data and information in unstructured formats
  2. Information, but not data in unstructured formats
  3. Data and information in structured formats
  4. Data and information in relational formats
  5. Data, but not information in unstructured formats

Answer(s): A

Explanation:

Document and Content Management focuses on managing and organizing both data and information in unstructured formats, such as documents, emails, and multimedia. The goal is to ensure that this unstructured data is stored, retrieved, and utilized effectively, supporting efficient business processes and decision-making.



Which of the following is not a step in the 'document and content management lifecycle'?

  1. Manage versions and control
  2. Create a content strategy
  3. Audit documents and records
  4. Manage retention and disposal
  5. Capture records and content

Answer(s): B

Explanation:

While creating a content strategy is important for overall content management, it is not a specific step in the document and content management lifecycle. The lifecycle typically involves steps such as capturing records and content, managing versions and control, auditing documents and records, and managing retention and disposal, which are focused on handling, maintaining, and organizing content and documents throughout their lifecycle.



A taxonomy is an umbrella term for:

  1. The study of metadata trails in an organization
  2. A government revenue raising technique
  3. All events within an organization's operations
  4. Any classification or controlled vocabulary
  5. A list of customers and their preferences

Answer(s): D

Explanation:

A taxonomy is an umbrella term for any classification or controlled vocabulary used to categorize and organize information. It is commonly used in information management, data organization, and content management systems to structure data in a way that makes it easier to retrieve and analyze.



Data management is the development, execution and supervision of plans, policies, programs and practices that deliver control, protect and enhance:

  1. The value of information assets
  2. Enterprise management capabilities
  3. The value of data and information assets
  4. The value of data assets
  5. Data and information assets

Answer(s): C

Explanation:

Data management involves the development, execution, and supervision of plans, policies, programs, and practices that control, protect, and enhance the value of data and information assets. This ensures that the data is accurate, secure, accessible, and used effectively to support business processes and decision-making.



The DAMA Wheel contains:

  1. Knowledge areas
  2. Data management deliverables
  3. Data management processes
  4. Data strategy initiatives
  5. Maturity model dimensions

Answer(s): A

Explanation:

The DAMA Wheel represents a comprehensive set of knowledge areas in data management. It includes various key areas like data governance, data quality, data architecture, data security, and others, which are central to managing and governing data effectively within an organization. The wheel is a visual representation of the data management framework developed by DAMA (Data Management Association).



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