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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 8 of 12

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Q71.
What does knowledge management (KM) complete in the process of empowering users with information?

a.

Data integration

b.

Data transformation

c.

Knowledge capture

d.

Strategic decision making

Discuss
Answer: (c).Knowledge capture Explanation:Knowledge management completes the process by capturing, integrating, organizing, and communicating knowledge accumulated by employees.
Q72.
Where does corporate knowledge primarily exist?

a.

Legacy systems

b.

External data sources

c.

Proprietary ERP datasets

d.

Corporate procedures, documents, reports, and more

Discuss
Answer: (d).Corporate procedures, documents, reports, and more Explanation:Corporate knowledge exists in various forms, including corporate procedures, documents, reports, and more.
Q73.
In the context of a knowledge management system's knowledge repository, what is its primary function?

a.

To store structured information

b.

To store sales numbers

c.

To store unstructured information

d.

To store data warehouse queries

Discuss
Answer: (c).To store unstructured information Explanation:A knowledge management system's knowledge repository primarily stores unstructured information.
Q74.
How can knowledge stored in an unstructured format complement the information retrieved from a data warehouse?

a.

By providing context to the sales numbers

b.

By summarizing data warehouse queries

c.

By organizing structured information

d.

By storing customer transaction details

Discuss
Answer: (a).By providing context to the sales numbers Explanation:Knowledge obtained from the knowledge management system can provide context to the information received from the data warehouse to understand the story behind the numbers.
Q75.
What trend in customer service has prompted companies to embrace customer relationship management (CRM) systems?

a.

Mass marketing

b.

One-on-one marketing

c.

Mass production

d.

Customer complaints

Discuss
Answer: (b).One-on-one marketing Explanation:Companies have moved away from mass marketing to one-on-one marketing, leading to increased adoption of CRM systems.
Q76.
What is a key requirement for making a data warehouse CRM-ready?

a.

Storing only summary data

b.

Focusing on mass marketing

c.

Concentrating on customer complaints

d.

Holding details of every transaction at every touchpoint with each customer

Discuss
Answer: (d).Holding details of every transaction at every touchpoint with each customer Explanation:To make a data warehouse CRM-ready, it must hold details of every transaction at every touchpoint with each customer.
Q77.
What is the primary advantage of using atomic or detailed data in a CRM-ready data warehouse?

a.

It reduces data volumes

b.

It simplifies data management

c.

It provides maximum flexibility

d.

It speeds up data retrieval

Discuss
Answer: (c).It provides maximum flexibility Explanation:Atomic or detailed data provides maximum flexibility for the CRM-ready data warehouse.
Q78.
What additional functions must be enhanced to make a data warehouse CRM-ready?

a.

Customer-related data transformation

b.

Data volume reduction

c.

Mass marketing implementation

d.

Sales data duplication

Discuss
Answer: (a).Customer-related data transformation Explanation:For making your data warehouse CRM-ready, you need to enhance customer-related data cleansing and transformation functions, which are more involved and complex.
Q79.
What was the primary problem encountered by organizations while using traditional methods of software development in the 1990s?

a.

Lack of skilled professionals

b.

Inflexible development methodologies

c.

Excessive budget allocations

d.

Lack of project management tools

Discuss
Answer: (b).Inflexible development methodologies Explanation:Traditional software development methodologies were seen as too structured, linear, and inflexible, leading to project delays and budget overruns.
Q80.
When and where was the Agile Software Development Alliance (Agile Alliance) formed?

a.

In the 1980s, in Silicon Valley

b.

In February 2001, in Snowbird, Utah

c.

In the 1970s, in New York

d.

In March 2003, in Seattle

Discuss
Answer: (b).In February 2001, in Snowbird, Utah Explanation:The Agile Alliance was formed in February 2001 during a meeting in Snowbird, Utah.
Page 8 of 12

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