adplus-dvertising

Welcome to the OLAP in the Data Warehouse MCQs Page

Dive deep into the fascinating world of OLAP in the Data Warehouse with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of OLAP in the Data Warehouse, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of OLAP in the Data Warehouse, 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.

frame-decoration

Check out the MCQs below to embark on an enriching journey through OLAP in the Data Warehouse. 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 OLAP in the Data Warehouse. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

OLAP in the Data Warehouse MCQs | Page 3 of 13

Explore more Topics under Data Warehousing and OLAP

Q21.
What is the definition of OLAP according to the OLAP council?

a.

Online Logical Analysis Processing

b.

On-Line Analytical Processing

c.

Operational Level Analysis Processing

d.

Offline Logical Analysis Processing

Discuss
Answer: (b).On-Line Analytical Processing Explanation:OLAP stands for On-Line Analytical Processing, according to the definition provided by the OLAP council.
Q22.
According to the OLAP council, what are the key elements of OLAP?

a.

Speed, consistency, interactive access, and multiple dimensional views

b.

Speed, flexibility, adaptability, and interoperability

c.

Transparency, accessibility, and reporting performance

d.

Multidimensional conceptual view, transparency, and accessibility

Discuss
Answer: (a).Speed, consistency, interactive access, and multiple dimensional views Explanation:The key elements of OLAP, according to the OLAP council, include speed, consistency, interactive access, and multiple dimensional views.
Q23.
What is the trade magazine's description of OLAP?

a.

A complex term for serious analysis

b.

A fancy term for multidimensional analysis

c.

A vague collection of complex factors

d.

A formal definition for analytical processing

Discuss
Answer: (b).A fancy term for multidimensional analysis Explanation:The trade magazine described OLAP as a fancy term for multidimensional analysis.
Q24.
What is the yardstick for measuring OLAP tools and products?

a.

The number of dimensions

b.

The guidelines proposed by Dr. E. F. Codd

c.

The size of the database

d.

The transparency of the system

Discuss
Answer: (b).The guidelines proposed by Dr. E. F. Codd Explanation:The guidelines proposed by Dr. E. F. Codd form the yardstick for measuring OLAP tools and products.
Q25.
According to the first guideline for an OLAP system, what should the data model be?

a.

Unintuitive and complex

b.

Multidimensional and easy to use

c.

Two-dimensional and analytical

d.

Linear and hierarchical

Discuss
Answer: (b).Multidimensional and easy to use Explanation:The first guideline for an OLAP system is to provide a multidimensional data model that is intuitively analytical and easy to use.
Q26.
What is the first guideline for handling sparse matrices?

a.

Optimize sparse matrix handling

b.

Adjust the physical schema

c.

Deduce the distribution of data

d.

Achieve and maintain consistent performance

Discuss
Answer: (b).Adjust the physical schema Explanation:The first guideline for handling sparse matrices is to adapt the physical schema to the specific analytical model being created and loaded.
Q27.
What is the purpose of multiuser support in an OLAP system?

a.

Restrict concurrent data access

b.

Limit data integrity

c.

Enhance access security

d.

Allow end users to work concurrently with the same or different analytical models

Discuss
Answer: (d).Allow end users to work concurrently with the same or different analytical models Explanation:Multiuser support in an OLAP system allows end users to work concurrently with either the same analytical model or to create different models from the same data.
Q28.
What is the significance of unrestricted cross-dimensional operations?

a.

Restricting relations between data cells

b.

Performing roll-up and drill-down operations automatically

c.

Limiting the number of data dimensions

d.

Allowing only linear calculations

Discuss
Answer: (b).Performing roll-up and drill-down operations automatically Explanation:Unrestricted cross-dimensional operations involve allowing the system to recognize dimensional hierarchies and automatically perform roll-up and drill-down operations within a dimension or across dimensions.
Q29.
How should data manipulation be accomplished in an OLAP system?

a.

Through menu options

b.

Through multiple trips to a user interface

c.

Via point-and-click and drag-and-drop actions

d.

Only through command-line interfaces

Discuss
Answer: (c).Via point-and-click and drag-and-drop actions Explanation:Data manipulation in an OLAP system should be accomplished intuitively and directly via point-and-click and drag-and-drop actions on the cells of the analytical model.
Q30.
What is the requirement for flexible reporting in an OLAP system?

a.

Restricting the arrangement of columns, rows, and cells

b.

Allowing business users to arrange columns, rows, and cells easily

c.

Limiting the display of dimensions

d.

Allowing only fixed reporting formats

Discuss
Answer: (b).Allowing business users to arrange columns, rows, and cells easily Explanation:Flexible reporting in an OLAP system requires allowing business users to arrange columns, rows, and cells in a manner that facilitates easy manipulation, analysis, and synthesis of information.
Page 3 of 13

Suggested Topics

Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

C# programming

Hone your skills in the C# language with our MCQs. Understand data types, operators,...

Embedded Systems

Dive into the world of specialized computing systems with our Embedded Systems MCQs....

Human Computer Interaction

Enhance your knowledge of Human-Computer Interaction with our specialized MCQs....

Computer Hardware

Explore the tangible components of computers with our Computer Hardware MCQs. Learn...

IT Fundamentals

Navigate the basics of information technology with our IT Fundamentals MCQs. Get a...

R Programming

Unleash the power of statistical computing with our R Programming MCQs. Topics cover...

MongoDB

Learn the leading NoSQL database with our MongoDB MCQs. Understand everything from...

Formal Languages and Automata Theory

Discover the mathematical models of computation with our Formal Languages and...

Internet of Things (IoT)

Discover how devices communicate with each other in the smart world with our IoT...