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 4 of 13

Explore more Topics under Data Warehousing and OLAP

Q31.
What does the guideline for "Drill-Through to Detail Level" allow in an OLAP system?

a.

Smooth transition from aggregated to preaggregated data

b.

Access to external data serving as the source at the detail record level

c.

Restriction on accessing detail records

d.

Limited analysis models

Discuss
Answer: (b).Access to external data serving as the source at the detail record level Explanation:The guideline for "Drill-Through to Detail Level" allows a smooth transition from the multidimensional, preaggregated database to the detail record level of the source data warehouse repository.
Q32.
What analysis models does Dr. Codd's guidelines support?

a.

Only exegetical and categorical

b.

Only contemplative and formulaic

c.

All four: exegetical, categorical, contemplative, and formulaic

d.

None of the above

Discuss
Answer: (c).All four: exegetical, categorical, contemplative, and formulaic Explanation:Dr. Codd's guidelines support all four analysis models: exegetical (or descriptive), categorical (or explanatory), contemplative, and formulaic.
Q33.
What should be the treatment of nonnormalized data in an OLAP system?

a.

Allow calculations to affect external data

b.

Prohibit calculations from affecting the external data

c.

Only perform calculations within the OLAP system

d.

Ignore missing values

Discuss
Answer: (b).Prohibit calculations from affecting the external data Explanation:The treatment of nonnormalized data in an OLAP system is to prohibit calculations made within the system from affecting the external data serving as the source.
Q34.
What is the recommendation for deploying OLAP tools on transactional systems?

a.

Use write-capable OLAP tools

b.

Avoid deploying OLAP tools on top of transactional systems

c.

Use OLAP tools only for reporting

d.

Limit OLAP tools to specific departments

Discuss
Answer: (b).Avoid deploying OLAP tools on top of transactional systems Explanation:OLAP tools should not be deployed on top of transactional systems; instead, write-capable OLAP tools should be avoided.
Q35.
What should be done with missing values in an OLAP system?

a.

Address missing values in calculations

b.

Replace missing values with default values

c.

Ignore missing values, irrespective of their source

d.

Prompt users to enter missing values

Discuss
Answer: (c).Ignore missing values, irrespective of their source Explanation:In an OLAP system, missing values should be ignored, irrespective of their source.
Q36.
What is the requirement for incremental refreshes in an OLAP system?

a.

Periodic full refreshes

b.

Continuous full refreshes

c.

Incremental refreshes of extracted and aggregated OLAP data

d.

No refreshes are needed

Discuss
Answer: (c).Incremental refreshes of extracted and aggregated OLAP data Explanation:An OLAP system should provide for incremental refreshes of the extracted and aggregated OLAP data.
Q37.
How should the SQL interface be integrated into an OLAP system?

a.

Separately from the enterprise environment

b.

Seamlessly integrate the OLAP system into the existing enterprise environment

c.

Only allow OLAP tools to use the SQL interface

d.

Limit access to the SQL interface

Discuss
Answer: (b).Seamlessly integrate the OLAP system into the existing enterprise environment Explanation:The SQL interface should be seamlessly integrated into the existing enterprise environment in an OLAP system.
Q38.
What is one of the fundamental characteristics of OLAP systems?

a.

Providing simple access to business intelligence

b.

Offering a one-dimensional view of data

c.

Allowing business users a multidimensional and logical view of data

d.

Restricting interactive query options

Discuss
Answer: (c).Allowing business users a multidimensional and logical view of data Explanation:One of the fundamental characteristics of OLAP systems is allowing business users a multidimensional and logical view of the data in the data warehouse.
Q39.
What is the purpose of OLAP systems in relation to data warehousing?

a.

OLAP systems replace data warehousing

b.

OLAP systems complement data warehousing by providing a new interface

c.

OLAP systems restrict access to business intelligence

d.

OLAP systems simplify data warehousing

Discuss
Answer: (b).OLAP systems complement data warehousing by providing a new interface Explanation:OLAP systems complement data warehousing by lifting the information delivery capabilities to new heights.
Q40.
What is the role of OLAP in information delivery?

a.

OLAP is an alternative to data warehousing

b.

OLAP is a layer in the data warehouse

c.

OLAP is only an interface between data and users

d.

OLAP is an information delivery system that complements the data warehouse

Discuss
Answer: (d).OLAP is an information delivery system that complements the data warehouse Explanation:OLAP is an information delivery system that complements the data warehouse.
Page 4 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!

PHP

Venture into server-side scripting with our PHP MCQs. Cover everything from syntax...

Human Computer Interaction

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

C Programming

Master one of the most widely used programming languages with our C Programming MCQs....

Computer Graphics

Step into the visual side of computing with our Computer Graphics MCQs. Cover topics...

Cryptography and Network Security

Secure your knowledge of information security with our Cryptography and Network...

Discrete Mathematics

Refine your mathematical skills essential for computer science with our Discrete...

Software Architecture and Design

Get a strong hold on the blueprint of software systems with our Software Architecture...

Digital Communication

Master the basics of electronic communication with our Digital Communication MCQs....

Embedded Systems

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