Free DMF-1220 Exam Braindumps
Data Management Fundamentals Questions 126–130 (page: 27)

Updated On: 10-Feb-2026

The need to manage data movement efficiently is a primary driver for Data Integration and Interoperability.

  1. TRUE
  2. FALSE

Answer(s): A



The goals of Data Integration and Interoperability include:

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

Answer(s): A,B,E,F



One of the deliverables in the Data Integration and Interoperability context diagram is:

  1. Data Integration and Interoperability Strategy
  2. Data hogging
  3. Data access agreements
  4. Data security plan

Answer(s): C



ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

  1. TRUE
  2. FALSE

Answer(s): B



On example of a transformation process in ETL is:

  1. Re-ordering
  2. Recording
  3. Duping
  4. Servicing

Answer(s): A



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