Exam 10: Data Quality and Integration
Exam 1: The Database Environment and Development Process116 Questions
Exam 2: Modeling Data in the Organization103 Questions
Exam 3: The Enhanced E-R Model103 Questions
Exam 4: Logical Database Design and the Relational Model102 Questions
Exam 5: Physical Database Design and Performance103 Questions
Exam 6: Introduction to SQL105 Questions
Exam 7: Advanced SQL107 Questions
Exam 8: Database Application Development105 Questions
Exam 9: Data Warehousing103 Questions
Exam 10: Data Quality and Integration105 Questions
Exam 11: Big Data and Analytics102 Questions
Exam 12: Data and Database Administration110 Questions
Exam 13: Distributed Databases100 Questions
Exam 14: Object-Oriented Data Modeling105 Questions
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A data governance committee is always made up of high-ranking government officials.
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False
Bit-mapped indexing is often used in a data warehouse environment.
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True
What is data transformation?
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Data transformation involves converting data in the format of the operational system into the format of the data warehouse. Data is accepted from the data capture component (after data scrubbing), is mapped to the format of the reconciled data layer, and then passed to the load and index component.
Conformance refers to whether the data is stored, exchanged or presented in a format that is as specified by its metadata.
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What is the difference between an incremental extract and a static extract?
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The data reconciliation process is responsible for transforming operational data to reconciled data.
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Application integration is achieved by coordinating the flow of event information between business applications.
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Static extract is a method of capturing only the changes that have occurred in the source data since the last capture.
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The best place to improve data entry across all applications is:
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A characteristic of reconciled data that means the data reflect an enterprise-wide view is:
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In the ________ approach, one consolidated record is maintained, and all applications draw on that one actual "golden" record.
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An approach in which only changes in the source data are written to the data warehouse is called refresh mode.
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Data are moved to the staging area before extraction takes place.
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