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Welcome to the Trends in Data Warehousing MCQs Page

Dive deep into the fascinating world of Trends in Data Warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Trends in Data Warehousing, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Trends in Data Warehousing, 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 Trends in Data Warehousing. 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 Trends in Data Warehousing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Trends in Data Warehousing MCQs | Page 9 of 12

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Q81.
What were the primary themes outlined in the Agile Alliance's manifesto for successful software development?

a.

Cost efficiency and rapid development

b.

Usability and system performance

c.

People and interactions, usable software, user collaboration, and acceptance of change

d.

Detailed documentation and comprehensive testing

Discuss
Answer: (c).People and interactions, usable software, user collaboration, and acceptance of change Explanation:The Agile Alliance's manifesto highlighted themes such as people and interactions, usable software, user collaboration, and acceptance of change as crucial for successful software development.
Q82.
What does the term "agile software development" primarily refer to?

a.

A set of well-defined software tools

b.

The use of AI and machine learning in development

c.

A set of principles and practices for software development

d.

A type of project management methodology

Discuss
Answer: (c).A set of principles and practices for software development Explanation:Agile software development refers to a set of well-defined principles and practices for software development.
Q83.
What have some organizations more recently applied agile development to?

a.

Data storage technologies

b.

Software quality assurance

c.

Data warehousing and business intelligence projects

d.

Hardware manufacturing

Discuss
Answer: (c).Data warehousing and business intelligence projects Explanation:Agile development principles and practices have been applied to data warehousing and business intelligence projects in some organizations.
Q84.
What is an active data warehousing?

a.

A type of data warehouse that is not in use

b.

A traditional, batch-oriented data warehousing system

c.

A data warehouse opened up to a large number of users, including external parties, providing one-on-one service

d.

A read-only data storage system

Discuss
Answer: (c).A data warehouse opened up to a large number of users, including external parties, providing one-on-one service Explanation:Active data warehousing involves opening up the data warehouse to a large number of users, including external parties, and providing one-on-one service.
Q85.
Why is the presence of multiple vendors and products in the data warehousing environment both good and bad news for builders of data warehouses?

a.

It allows for greater product variety

b.

It can lead to confusion and chaos when using multi-vendor products

c.

It results in lower costs for data warehousing solutions

d.

It makes the selection process easier

Discuss
Answer: (b).It can lead to confusion and chaos when using multi-vendor products Explanation:While the multitude of vendors and products in the data warehousing environment offers choices, it can also result in confusion and chaos when attempting to make them work together.
Q86.
What critical areas require established standards in the data warehousing environment?

a.

Database management and control modules

b.

Query and reporting tools

c.

Metadata interchange and OLAP functions

d.

Data extraction and data transformation

Discuss
Answer: (c).Metadata interchange and OLAP functions Explanation:Metadata interchange and OLAP functions are crucial areas that require established standards in the data warehousing environment.
Q87.
What is metadata in the context of data warehousing?

a.

A form of data encryption

b.

The glue that holds functional pieces together in a data warehouse

c.

A type of database management system

d.

A method for data extraction

Discuss
Answer: (b).The glue that holds functional pieces together in a data warehouse Explanation:Metadata is like the glue that holds all the functional pieces together in a data warehouse, providing the roadmap to the information contained within it.
Q88.
Why is OLAP functionality crucial in a modern data warehouse?

a.

It provides data encryption and security

b.

It allows for real-time data updates

c.

It enables users to perform multidimensional analysis and view information from different perspectives

d.

It simplifies the process of data extraction

Discuss
Answer: (c).It enables users to perform multidimensional analysis and view information from different perspectives Explanation:OLAP functionality is crucial in a modern data warehouse because it allows users to perform multidimensional analysis and view information from various perspectives.
Q89.
Which bodies have been working on standards for metadata in the data warehousing environment?

a.

The Data Warehouse Institute and the National Institute of Standards and Technology

b.

The Data Warehousing Association and the Software Engineering Institute

c.

The Meta Data Coalition and the Object Management Group

d.

The Data Warehousing Consortium and the Data Management Association

Discuss
Answer: (c).The Meta Data Coalition and the Object Management Group Explanation:The Meta Data Coalition and the Object Management Group have been working on standards for metadata in the data warehousing environment.
Q90.
When did the Object Management Group unveil the Common Warehouse Metamodel (CWM) as the standard for metadata interchange for data warehousing?

a.

In October 1995

b.

In December 1998

c.

In July 1999

d.

In June 2000

Discuss
Answer: (d).In June 2000 Explanation:The Object Management Group unveiled the Common Warehouse Metamodel (CWM) as the standard for metadata interchange for data warehousing in June 2000.
Page 9 of 12

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