Exam 7: Accessing Organizational Informationdata Warehouses

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Which of the following is a problem associated with dirty data?

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While a traditional data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

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What is erroneous or flawed data?

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Comparative analysis can help managers with competitive monitoring where a company keeps tabs of its competitor's activities on the web using software that automatically tracks all competitor website activities such as discounts and new products.

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Identify the advantages of using business intelligence to support managerial decision making.

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Which of the following is incorrect in terms of data warehousing and business intelligence?

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A data map is a technique for establishing a match, or balance, between the source data and the target data warehouse.

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Which of the following is an example of an external database in the data warehouse model?

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Managers can use BI to answer tough business questions. Which of the following describes the value of knowing where the business is going?

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Business intelligence can provide managers with the ability to make better decisions. Which of the following is not an example of how different industries use business intelligence?

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Dirty data is erroneous or flawed data. The complete removal of dirty data from a source is impractical or virtually impossible.

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The primary purpose of a data warehouse is to perform transactional processes.

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Which of the following is not a dirty data problem?

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In a data warehouse, information cleansing occurs first during the ETL process and again once the information is in the data warehouse.

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What is extraction, transformation, and loading?

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Which of the following is a problem associated with dirty data?

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Within the beginning stage of the data warehouse models process, which of the following are included in the internal databases?

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ETL stands for extraction, transformation, and loading.

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Business intelligence can provide managers with the ability to make better decisions. Which of the following is not an example of how different industries use business intelligence?

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Which of the following is a problem associated with dirty data?

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