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.

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 8 of 13

Explore more Topics under Data Warehousing and OLAP

01

The Compelling Need for Data Warehousing

02

Building Blocks of Data Warehouse 🔒

03

Trends in Data Warehousing 🔒

04

Planning and Project Management 🔒

05

Defining the Business Requirements

06

Requirements as the Driving Force for Data warehousing 🔒

07

Architectural Components 🔒

08

Infrastructure as the Foundation for Data Warehousing 🔒

09

Role of Metadata in Data Warehousing 🔒

10

Principles of Dimensional Modeling

11

Advanced Topics in Dimensional Modeling 🔒

12

Data Extraction,Transformation and Loading 🔒

13

Importance of Data Quality

14

Matching Information to the Classes of Users

15

OLAP in the Data Warehouse 🔒

16

Data Mining Basics 🔒

17

The Physical Design Process 🔒

18

Data Warehouse Deployment 🔒

19

Growth and Maintenance

20

Important Terms and Definitions

Q71.

What are the three approaches to implementing OLAP in a Web-enabled data warehouse?

Client-server architecture, fat-client Windows implementation, and browser extensions

Browser plug-ins, pre-created HTML documents, and OLAP in the server

Web technology, data warehousing, and thick-client architecture

RDBMS dependence, pre-configured client-side tools, and thin-client economy

Discuss

Answer: (b).Browser plug-ins, pre-created HTML documents, and OLAP in the server Explanation:The three approaches to implementing OLAP in a Web-enabled data warehouse are browser plug-ins, pre-created HTML documents, and OLAP in the server.

Q72.

What is a characteristic of the approach, using browser plug-ins for OLAP implementation?

Scalability problems

On-demand analysis capabilities

Thin-client economy

Predefined reports only

Discuss

Answer: (a).Scalability problems Explanation:The first approach using browser plug-ins for OLAP implementation has scalability problems.

Q73.

What is a disadvantage of the approach, providing pre-created HTML documents for OLAP?

Scalability problems

On-demand analysis capabilities

Thin-client economy

Confined to predefined reports

Discuss

Answer: (d).Confined to predefined reports Explanation:The second approach, providing pre-created HTML documents for OLAP, is confined to predefined reports and lacks on-demand analysis capabilities.

Q74.

What is a key advantage of the approach, implementing OLAP in the server?

Scalability problems

Maintenance minimization

Thick-client architecture

Dependency on the RDBMS

Discuss

Answer: (b).Maintenance minimization Explanation:The third approach, implementing OLAP in the server, offers the advantage of maintenance minimization as applications and logic are centralized on the server.

Q75.

What benefits does the approach, OLAP in the server, provide in a production environment?

Scalability problems

Maintenance minimization, consistent version control, and shared components

Thick-client architecture

Dependency on the RDBMS

Discuss

Answer: (b).Maintenance minimization, consistent version control, and shared components Explanation:The approach, OLAP in the server, provides benefits in a production environment, including maintenance minimization, consistent version control, and shared components.

Q76.

What is a critical factor in the design of the OLAP engine for a Web-enabled data warehouse?

Client-side tools

Thin-client architecture

RDBMS dependence

OLAP engine design

Discuss

Answer: (d).OLAP engine design Explanation:OLAP engine design is a critical factor in the design of the OLAP engine for a Web-enabled data warehouse.

Q77.

What does a properly designed OLAP engine produce in terms of performance as the number of concurrent users increases?

Exponential growth

Linear performance curve

Decreased efficiency

Scalability problems

Discuss

Answer: (b).Linear performance curve Explanation:A properly designed OLAP engine produces a performance curve that stays linear as the number of concurrent users increases.

Q78.

What is a potential disadvantage of an OLAP engine that depends completely on the RDBMS for multidimensional processing?

Scalability problems

Reduced dependence on temporary tables

Improved disk space allocation

Enhanced system table modification

Discuss

Answer: (a).Scalability problems Explanation:An OLAP engine that depends completely on the RDBMS for multidimensional processing may encounter scalability problems.

Q79.

What challenges arise with an OLAP engine that relies on the RDBMS for multidimensional processing?

Reduced dependence on temporary tables

Increased efficiency in SQL generation

Overhead for creating, inserting, dropping, and modifying system tables

Improved disk space allocation

Discuss

Answer: (c).Overhead for creating, inserting, dropping, and modifying system tables Explanation:Challenges with an OLAP engine relying on the RDBMS include overhead for creating, inserting, dropping, and modifying system tables.

Q80.

How does the number of concurrent users impact an OLAP system that depends on the RDBMS?

Improves system performance

Causes linear scalability

May bring the OLAP system to its knees

Enhances SQL generation

Discuss

Answer: (c).May bring the OLAP system to its knees Explanation:The number of concurrent users may bring an OLAP system that depends on the RDBMS to its knees due to scalability problems.

Page 8 of 13

Building Blocks of Data Warehouse 🔒

Trends in Data Warehousing 🔒

Planning and Project Management 🔒

Requirements as the Driving Force for Data warehousing 🔒

Architectural Components 🔒

Infrastructure as the Foundation for Data Warehousing 🔒

Role of Metadata in Data Warehousing 🔒

Advanced Topics in Dimensional Modeling 🔒

Data Extraction,Transformation and Loading 🔒

OLAP in the Data Warehouse 🔒

Data Mining Basics 🔒

The Physical Design Process 🔒

Data Warehouse Deployment 🔒

Welcome to the Data Warehousing and the Web MCQs Page

Data Warehousing and the Web MCQs | Page 8 of 13

Explore more Topics under Data Warehousing and OLAP

The Compelling Need for Data Warehousing

Defining the Business Requirements

Principles of Dimensional Modeling

Importance of Data Quality

Matching Information to the Classes of Users

Growth and Maintenance

Important Terms and Definitions

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