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Welcome to the Data Warehousing and the Web MCQs Page

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

Data Warehousing and the Web MCQs | Page 3 of 13

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Q21.
What type of information can be derived from clickstream data?

a.

Weather patterns

b.

Customer preferences

c.

Political affiliations

d.

Historical events

Discuss
Answer: (b).Customer preferences Explanation:Clickstream data provides information such as the effectiveness of sales promotions, affinities between products, customer demographics, and general buying patterns.
Q22.
How does web technology contribute to information delivery?

a.

It complicates the process

b.

It limits access to information

c.

It facilitates easy and continuous information delivery

d.

It requires extensive training for users

Discuss
Answer: (c).It facilitates easy and continuous information delivery Explanation:Web technology facilitates easy and continuous information delivery, making it accessible around the clock.
Q23.
What is a benefit of connecting a data warehouse to the web?

a.

Restricted access for internal users only

b.

Limited scalability

c.

Minimal training costs

d.

Synchronization challenges in client/server environments

Discuss
Answer: (c).Minimal training costs Explanation:Connecting a data warehouse to the web leads to minimal training costs for users due to the use of web browsers.
Q24.
How does the web impact the growth of data warehouse usage?

a.

Decreases user population

b.

Limits access to a specific time of day

c.

Facilitates supergrowth in usage

d.

Reduces information delivery

Discuss
Answer: (c).Facilitates supergrowth in usage Explanation:The web facilitates "supergrowth" in data warehouse usage by providing universal access and an intuitive access mechanism, leading to challenges in scalability.
Q25.
What challenges does supergrowth pose for a web-enabled data warehouse?

a.

Decrease in user population

b.

Synchronization issues

c.

Limited expansion in usage

d.

Strain on scalability

Discuss
Answer: (d).Strain on scalability Explanation:Supergrowth poses a challenge for scalability, as the user base grows faster than the ability to scale up the web-enabled data warehouse to meet expanding usage requirements.
Q26.
How can the problem of supergrowth in a web-enabled data warehouse be anticipated and avoided?

a.

By restricting access to internal users only

b.

Opening the warehouse instantly to the public

c.

Opening the warehouse in well-defined stages

d.

Avoiding web enablement altogether

Discuss
Answer: (c).Opening the warehouse in well-defined stages Explanation:Anticipating and avoiding the problem of supergrowth involves opening the web-enabled data warehouse in well-defined stages, monitoring the growth pattern in usage.
Q27.
Why is it advisable to open the web-enabled data warehouse to internal users first?

a.

To minimize the number of users

b.

To contain enthusiasm and control growth

c.

To restrict access to specific time slots

d.

To limit information delivery

Discuss
Answer: (b).To contain enthusiasm and control growth Explanation:Opening the web-enabled data warehouse to internal users first helps in containing enthusiasm and controlling growth, allowing for monitoring the usage pattern.
Q28.
How can supergrowth be dealt with if opening the warehouse to all users is unavoidable?

a.

By limiting access to specific time slots

b.

By finding the point of leveling off in the growth curve

c.

By restricting access to internal users only

d.

By avoiding web enablement altogether

Discuss
Answer: (b).By finding the point of leveling off in the growth curve Explanation:Dealing with supergrowth involves finding the point up to which usage will grow and then level off, as shown in the growth curve.
Q29.
What characteristic of the growth curve is crucial in dealing with supergrowth?

a.

Continuous increase in usage

b.

Rapid acceleration of growth

c.

Leveling off after the initial stages

d.

Synchronization challenges

Discuss
Answer: (c).Leveling off after the initial stages Explanation:Supergrowth occurs in the initial stages, but the growth curve levels off after that, making it manageable.
Q30.
How can the number of users and the leveling-off point be determined for a web-enabled data warehouse?

a.

Industry-standard charts

b.

Trial and error

c.

Estimation based on environment and circumstances

d.

Fixed mathematical formulas

Discuss
Answer: (c).Estimation based on environment and circumstances Explanation:The number of users and the leveling-off point for a web-enabled data warehouse depend on the circumstances and conditions of the environment, requiring estimation techniques.
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