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Data Management Fundamentals

Exam Details

  • Exam Code
    :DMF-1220
  • Exam Name
    :Data Management Fundamentals
  • Certification
    :DAMA Certifications
  • Vendor
    :DAMA
  • Total Questions
    :485 Q&As
  • Last Updated
    :May 06, 2025

DAMA DAMA Certifications DMF-1220 Questions & Answers

  • Question 71:

    Archiving is the process of moving data off immediately accessible storage media and onto media with lower retrieval performance.

    A. FALSE

    B. TRUE

  • Question 72:

    A completely distributed architecture maintains a single access point. The metadata retrieval engine responds to user requests by retrieving data from source systems in real time.

    A. FALSE

    B. TRUE

  • Question 73:

    Data quality issues cannot emerge at any point in the data lifecycle.

    A. FALSE

    B. TRUE

  • Question 74:

    Reference and Master Data Management follow these guiding principles:

    A. Obtaining buy-in from all stakeholders

    B. Stewardship

    C. Monitoring the resistance

    D. Ownership

    E. Addressing all queries

    F. Controlled change

  • Question 75:

    In the context of big data the Three V's refer to: Volume, Velocity and Validity

    A. FALSE

    B. TRUE

  • Question 76:

    Data replication has two dimensions of scaling: diagonal and lateral

    A. FALSE

    B. TRUE

  • Question 77:

    Data modelling tools are software that automate many of the tasks the data modeller performs.

    A. FALSE

    B. TRUE

  • Question 78:

    A goal of a Reference and Master Data Management program include enabling master and reference data to be shared across enterprise functions and applications.

    A. FALSE

    B. TRUE

  • Question 79:

    Inputs in the Data Integration and Interoperability context diagram include:

    A. Data needs and standards

    B. Data semantics

    C. Business goals and strategies

    D. Source data

  • Question 80:

    Project that use personal data should have a disciplined approach to the use of that dat

    A. They should account for:

    B. What activities analytics will focus on

    C. How they select their populations for study

    D. All of the above

    E. How data will be captured

    F. How results will be made accessible

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