Exam 3: Database Systems, Data Warehouses and Data Marts

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Describe how records are accessed in a random access file structure.

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A _____is software for creating, storing, maintaining, and accessing database files. ​

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In a relational database, every record must be uniquely identified by a _____. ​

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In a relational database model, the columns are called _____.

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_____ can be described as using an organization's database of customers and potential customers in order to promote products or services that an organization offers.

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Discuss the advantages of data marts over data warehouses.

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The first step in database design is defining a _____, which determines how data is created, represented, organized, and maintained.

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Which of the following types of databases is not limited by the data's physical location?

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Unlike data in databases, data in data warehouses is:

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In comparison with a flat file system, _____ in a database.

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In contrast to the query languages used to interact with a relational database, interaction with an object-oriented database takes places via methods, which are called by sending a message to an object.

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Which of the following statements is true of database marketing?

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_____ improves database efficiency by eliminating redundant data and ensuring that only related data is stored in a table.

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In a relational database model, a(n) _____ pares down a table by eliminating columns according to certain criteria.

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In a(n) _____, records can be accessed in any order, regardless of their physical locations in storage media. ​

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Labor and population statistics are examples of sources for internal data that are accessed by a database.

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A database engine converts logical requests from users into their physical equivalents by interacting with other components of the database management system (DBMS).

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Static Web sites are useful for e-commerce sites that need frequent updates.

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In the context of the data administration component of a database management system (DBMS), the acronym CRUD stands for _____.

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_____tools are capable of "drilling up," proceeding from the smallest unit of data to higher levels. ​

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