Exam 9: Data Warehousing and Data Integration
Exam 1: The Database Environment and Development Process119 Questions
Exam 2: Modeling Data in the Organization102 Questions
Exam 3: The Enhanced E-R Model102 Questions
Exam 4: Logical Database Design and the Relational Model101 Questions
Exam 5: Introduction to SQL102 Questions
Exam 6: Advanced SQL95 Questions
Exam 7: Databases in Applications93 Questions
Exam 8: Physical Database Design and Database Infrastructure167 Questions
Exam 9: Data Warehousing and Data Integration150 Questions
Exam 10: Big Data Technologies69 Questions
Exam 11: Analytics and Its Implications32 Questions
Exam 12: Data and Database Administration With Focus on Data Quality66 Questions
Exam 13: Distributed Databases100 Questions
Exam 14: Object-Oriented Data Modeling104 Questions
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Data propagation duplicates data across databases, usually with some real-time delay.
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The representation of data in a graphical format is called data mining.
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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.
(True/False)
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A corporate information factory (CIF) is a comprehensive view of organizational data in support of all user data requirements.
(True/False)
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All of the following are ways to handle changing dimensions EXCEPT:
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Explain the dependent data mart and operational data store architecture.
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User interaction integration is achieved by creating fewer user interfaces.
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A dependent data mart is filled from the enterprise data warehouse and its reconciled data.
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Which type of index is commonly used in data warehousing environments?
(Multiple Choice)
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An enterprise data warehouse is the control point and single source of all data made available to end users for decision support applications.
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Loading data into the warehouse typically means appending new rows to tables in the warehouse as well as updating existing rows with new data.
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The analysis of data or information to support decision making is called:
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A technique using pattern recognition to upgrade the quality of raw data is called:
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When multiple systems in an organization are synchronized, the need for data warehousing increases.
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Medical claims and pharmaceutical data would be an example of big data.
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