DMF-1220 Exam Details

  • Exam Code
    :DMF-1220
  • Exam Name
    :Data Management Fundamentals
  • Certification
    :DAMA Certifications
  • Vendor
    :DAMA
  • Total Questions
    :730 Q&As
  • Last Updated
    :May 28, 2026

DAMA DMF-1220 Online Questions & Answers

  • Question 361:

    Top down' and "bottom up' data analysis and profiling is best done in concert because:

    A. It gets everyone involved
    B. It balances business relevance and the actual state of the data
    C. Data quality tools are more productive when they are effectively configured
    D. It gives something for the architects to do while the profilers get on with thework
    E. It allows the profiler to show the business the true state of the data

  • Question 362:

    Vulnerability is defined as:

    A. a patch in a system that allows it to be successfully unpatched and compromised.
    B. being highly data risk rated
    C. a strength in a system that allows external stakeholders to view data records.
    D. a weakness or defect in a system that allows it to be successfully attacked and compromised.

  • Question 363:

    What are the three characteristics of effective Data Governance communication?

    A. It must be clear, unambiguous, and consistent
    B. It must be consistent, unambiguous, engaging
    C. It must be viral, vital, and have volume
    D. It must be colorful, engaging, using multi-media
    E. It must be clear, structured, repetitive

  • Question 364:

    RACI is an acronym that is made up of the following terms.

    A. Control
    B. Responsible
    C. Accountable
    D. Informed
    E. Reliable
    F. Consulted

  • Question 365:

    What are the three characteristics of effective Data Governance communication?

    A. It must be clear, unambiguous, and consistent
    B. It must be clear, structured, repetitive
    C. It must be viral, vital, and have volume
    D. It must be colorful, engaging, using multi-media
    E. It must be consistent, unambiguous, engaging

  • Question 366:

    Gathering and interpreting results from a DMM or Data Governance assessment are important because:

    A. Lack of results gathered can indicate a lack of assessment performance
    B. The assessments are done by different teams within the organization and may have different results
    C. Interpreting these results is difficult
    D. Data Management and Data Governance results are gathered and interpreted differently, depending on the organization being evaluated
    E. Performing these activities objectively can ensure the success of the assessment and affect the acceptance and implementation of the data management and/or Data Governance program

  • Question 367:

    Which statement best describes the relationship between documents and records?

    A. Documents and records are the same thing
    B. Documents are written and records are audio
    C. Documents and records are not related
    D. Records are a sub-set of documents
    E. Documents are a sub-set of records

  • Question 368:

    The percentage of enterprise computers having the most recent security patch installed is a metric of which knowledge area?

    A. Data Quality
    B. Data Warehousing and Business Intelligence
    C. Data Storage and Operations
    D. Metadata Management
    E. Data Security

  • Question 369:

    The goals of Data Integration and Interoperability include:

    A. Provide data securely, with regulatory compliance, in the format and timeframe needed.
    B. Lower cost and complexity of managing solutions by developing shared models and interfaces.
    C. Managing the availability of data throughout the data lifecycle
    D. Provide the starting point for customizations, integration or even replacement of an application
    E. Identify meaningful events and automatically trigger alerts and actions.
    F. Support business intelligence, analytics, master data management and operational efficiency efforts.

  • Question 370:

    Data for Big Data ingestion can also be called the data lake. This needs to be carefully managed, or the data lake will become:

    A. A data model
    B. An organizational statistic
    C. A biased report
    D. A level of data not usable by Data Scientists
    E. A data swamp

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