adplus-dvertising

Welcome to the Building Blocks of Data Warehouse MCQs Page

Dive deep into the fascinating world of Building Blocks of Data Warehouse with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Building Blocks of 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 Building Blocks of 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 Building Blocks of 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 Building Blocks of Data Warehouse. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Building Blocks of Data Warehouse MCQs | Page 9 of 10

Explore more Topics under Data Warehousing and OLAP

Q81.
What methods of information delivery are included in the information delivery component of a data warehouse?

a.

Ad hoc reports and executive information systems

b.

Complex queries and multidimensional analysis

c.

Online queries and reports, scheduled reports, and data-mining applications

d.

Metadata and data catalog

Discuss
Answer: (c).Online queries and reports, scheduled reports, and data-mining applications Explanation:The information delivery component includes methods like online queries and reports, scheduled reports, and data-mining applications.
Q82.
What is the purpose of data-mining applications in a data warehouse?

a.

Providing information to senior executives

b.

Complex analysis for business analysts

c.

Discovering trends and patterns in the data

d.

Preparing ad hoc queries for power users

Discuss
Answer: (c).Discovering trends and patterns in the data Explanation:Data-mining applications in a data warehouse help discover trends and patterns from the usage of data.
Q83.
What is the metadata component in a data warehouse?

a.

Data about the data in the database

b.

Prepackaged reports for casual users

c.

Data dictionary for operational systems

d.

A separate data storage area

Discuss
Answer: (a).Data about the data in the database Explanation:The metadata component in a data warehouse is similar to a data dictionary and contains information about the data in the data warehouse.
Q84.
How does metadata in a data warehouse differ from a data dictionary in a database management system?

a.

Metadata is less comprehensive

b.

Metadata includes physical data structures

c.

Metadata is primarily used by power users

d.

Metadata is much more than a data dictionary

Discuss
Answer: (d).Metadata is much more than a data dictionary Explanation:Metadata in a data warehouse is similar to a data dictionary but includes much more information about the data in the data warehouse.
Q85.
Where does the management and control component sit in the data warehouse architecture?

a.

At the bottom of the architecture

b.

In the data storage component

c.

On top of all other components

d.

Within the metadata component

Discuss
Answer: (c).On top of all other components Explanation:The management and control component sits on top of all other components in the data warehouse architecture.
Q86.
What are the primary functions of the management and control component in a data warehouse?

a.

Managing data extraction and transformation

b.

Controlling data transfer to storage and information delivery

c.

Managing data storage in the repositories

d.

Monitoring data movement into the staging area

Discuss
Answer: (b).Controlling data transfer to storage and information delivery Explanation:The management and control component controls data transfer to storage and information delivery to users in a data warehouse.
Q87.
How does the management and control component interact with the metadata component?

a.

It controls the metadata component

b.

It extracts metadata from the metadata component

c.

It moderates information delivery to the users

d.

It works with the database management systems

Discuss
Answer: (b).It extracts metadata from the metadata component Explanation:The management and control component extracts metadata from the metadata component to perform its functions.
Q88.
What role does metadata play in a data warehouse?

a.

It serves as a directory of the contents of the data warehouse

b.

It controls the data transformation process

c.

It moderates data transfer to storage

d.

It contains information about database management systems

Discuss
Answer: (a).It serves as a directory of the contents of the data warehouse Explanation:Metadata in a data warehouse serves as a directory of the contents of the data warehouse.
Q89.
What is the primary purpose of operational metadata in a data warehouse?

a.

Providing information to end-users

b.

Managing data storage in the repositories

c.

Tying delivered information back to the original source data sets

d.

Monitoring data movement into the staging area

Discuss
Answer: (c).Tying delivered information back to the original source data sets Explanation:Operational metadata contains information about the operational data sources and is used to tie delivered information back to the original source data sets in a data warehouse.
Q90.
How do data elements selected for the data warehouse differ from the source systems' data elements?

a.

They have the same field lengths and data types

b.

They are kept separate from the original data

c.

They have various field lengths and data types

d.

They are not used in information delivery

Discuss
Answer: (c).They have various field lengths and data types Explanation:Data elements selected for the data warehouse may have various field lengths and data types, different from the source systems' data elements.
Page 9 of 10

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!

Systems Analysis and Design Methods

Get familiar with the process of designing and improving business systems with our...

MATLAB

Hone your computational mathematics skills with our MATLAB MCQs. Understand...

Data Warehousing and OLAP

Strengthen your knowledge of Data Warehousing and OLAP with our specialized MCQs....

MS Office

Master the suite of productivity tools with our MS Office MCQs. From Word and Excel...

CompTIA PenTest+ Certification Exam PT0 002

Prepare for the CompTIA PenTest+ PT0-002 exam with our targeted MCQs. Covering...

C Programming

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

HTML

Start your journey in web development with our HTML MCQs. Learn the building blocks...

Hadoop

Dive into the world of big data with our Hadoop MCQs. Cover key concepts including...

Cyber Security

Understand the fundamentals of safeguarding digital assets with our Cyber Security...