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Welcome to the Matching Information to the Classes of Users MCQs Page

Dive deep into the fascinating world of Matching Information to the Classes of Users with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Matching Information to the Classes of Users, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Matching Information to the Classes of Users, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Warehousing and OLAP.

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Check out the MCQs below to embark on an enriching journey through Matching Information to the Classes of Users. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Matching Information to the Classes of Users. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Matching Information to the Classes of Users MCQs | Page 3 of 10

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Discuss
Answer: (b).Informational, analytical, and data mining Explanation:There are three approaches for user interaction with the data warehouse: informational, analytical, and data mining.
Q22.
In the "Informational Approach" for user interaction with the data warehouse, what type of tools do users typically use?
Discuss
Answer: (c).Query and reporting tools Explanation:In the "Informational Approach," users use query and reporting tools to retrieve historical or current data and perform standard statistical analysis.
Q23.
What distinguishes the "Analytical Approach" for user interaction with the data warehouse from other approaches?
Discuss
Answer: (c).Users conduct analysis using their own business terms. Explanation:The "Analytical Approach" involves users conducting analysis using their own business terms, focusing on business dimensions, and may involve drill down, roll up, or slice and dice.
Discuss
Answer: (b).Preprocessed information, predefined queries, and ad hoc constructions Explanation:There are three characteristics of data made available through the user–information interface: preprocessed information, predefined queries and reports, and ad hoc constructions.
Discuss
Answer: (d).Being easy to use, intuitive, and enticing to users Explanation:The user–information interface must be easy to use, intuitive, and enticing to users, which is listed as an essential feature.
Q26.
In the retail and consumer goods industry, what is an area where data warehouses can be particularly beneficial?
Discuss
Answer: (b).Store layout and product bundling Explanation:Data warehouses can be valuable in areas like store layout and product bundling in the retail and consumer goods industry.
Discuss
Answer: (b).Business analysts, planners, departmental managers, and senior executives Explanation:The primary users of data warehouses for obtaining business intelligence include business analysts, business planners, departmental managers, and senior executives.
Discuss
Answer: (b).Requires big button navigation and intuitive interfaces Explanation:A Casual or Novice User uses the data warehouse occasionally, prefers an intuitive interface, and needs big button navigation.
Discuss
Answer: (b).They are knowledge workers comfortable with technology, often customizing predefined reports. Explanation:Business Analysts can be described as users comfortable with technology but not adept at creating queries from scratch. They often customize predefined reports.
Q30.
What kind of users often need information for high-level strategic decisions and prefer customized and personalized information?
Discuss
Answer: (d).High-Level Executives and Managers Explanation:High-level executives and managers need information for high-level strategic decisions and prefer customized and personalized information.
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