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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.

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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 7 of 13

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Q61.
What does HOLAP stand for in the context of OLAP models?

a.

Hybrid Online Analytical Processing

b.

Hierarchical Online Analytical Processing

c.

Hosting Online Analytical Processing

d.

High-performance Online Analytical Processing

Discuss
Answer: (a).Hybrid Online Analytical Processing Explanation:HOLAP stands for Hybrid Online Analytical Processing.
Q62.
What does Web OLAP refer to in the context of OLAP models?

a.

Online Analytical Processing accessible from a Web browser

b.

Offline Analytical Processing using a Web browser

c.

On-premises Analytical Processing using a Web browser

d.

Online Analytical Processing using a traditional software application

Discuss
Answer: (a).Online Analytical Processing accessible from a Web browser Explanation:Web OLAP refers to Online Analytical Processing accessible from a Web browser.
Q63.
In the MOLAP model, where does the OLAP engine reside?

a.

On the desktop

b.

On a special server

c.

In the cloud

d.

In the main data warehouse

Discuss
Answer: (b).On a special server Explanation:In the MOLAP model, the OLAP engine resides on a special server.
Q64.
What kind of databases store data in the form of multidimensional hypercubes in the MOLAP model?

a.

Relational databases

b.

NoSQL databases

c.

Proprietary multidimensional databases (MDDBs)

d.

Distributed databases

Discuss
Answer: (c).Proprietary multidimensional databases (MDDBs) Explanation:In the MOLAP model, data is stored in proprietary multidimensional databases (MDDBs).
Q65.
How are multidimensional arrays used in the MOLAP model?

a.

As storage structures for relational databases

b.

To form the storage structures for specialized multidimensional databases

c.

To create virtual multidimensional data cubes

d.

As arrays representing data cells in a relational database

Discuss
Answer: (b).To form the storage structures for specialized multidimensional databases Explanation:In the MOLAP model, multidimensional arrays form the storage structures for specialized multidimensional databases.
Q66.
In the ROLAP model, where does the OLAP engine reside?

a.

On the desktop

b.

On a special server

c.

In the cloud

d.

In the main data warehouse

Discuss
Answer: (a).On the desktop Explanation:In the ROLAP model, the OLAP engine resides on the desktop.
Q67.
How is data presented in the ROLAP model?

a.

As precalculated and prefabricated multidimensional data cubes

b.

As virtual multidimensional data cubes

c.

As arrays in specialized multidimensional databases

d.

As consolidated data in multidimensional hypercubes

Discuss
Answer: (b).As virtual multidimensional data cubes Explanation:In the ROLAP model, data is presented as virtual multidimensional data cubes.
Q68.
What is stored in multidimensional databases in the ROLAP model?

a.

Precalculated and prefabricated multidimensional data cubes

b.

Virtual multidimensional data cubes

c.

Relational data

d.

Arrays representing data cells in a relational database

Discuss
Answer: (c).Relational data Explanation:In the ROLAP model, relational data is stored in multidimensional databases.
Q69.
What kind of multidimensional view of the data is pushed from the MDDBs to the users in the MOLAP model?

a.

Prefabricated cubes

b.

Virtual cubes

c.

Precalculated cubes

d.

Summarized cubes

Discuss
Answer: (d).Summarized cubes Explanation:In the MOLAP model, a multidimensional view of the data from the MDDBs is pushed to the users, typically in the form of summarized cubes.
Q70.
What is the main advantage of the MOLAP model for users who need summarized data?

a.

Reduced response times

b.

Increased data complexity

c.

Decreased data consolidation

d.

Limited data access

Discuss
Answer: (a).Reduced response times Explanation:The main advantage of the MOLAP model for users who need summarized data is reduced response times from preconsolidated data.
Page 7 of 13

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