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Welcome to the Role of Metadata in Data Warehousing MCQs Page

Dive deep into the fascinating world of Role of Metadata in Data Warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Role of Metadata in Data Warehousing, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Role of Metadata in Data Warehousing, 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 Role of Metadata in Data Warehousing. 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 Role of Metadata in Data Warehousing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Role of Metadata in Data Warehousing MCQs | Page 1 of 13

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Q1.
What is the primary purpose of metadata in a data warehouse?

a.

To hold data

b.

To define data entities

c.

To describe data in the data warehouse

d.

To store query results

Discuss
Answer: (c).To describe data in the data warehouse Explanation:The primary purpose of metadata in a data warehouse is to describe the data in the data warehouse.
Q2.
How is metadata can be defined?

a.

Data about data

b.

The glue that holds the data warehouse contents together

c.

The data warehouse roadmap

d.

The nerve center of the data warehouse

Discuss
Answer: (a).Data about data Explanation:Metadata is defined as "Data about data" .
Q3.
What does the metadata element for the Customer entity provide?

a.

A brief description of the entity

b.

The syntax of the entity

c.

A complete and precise description of the entity

d.

A list of data sources

Discuss
Answer: (c).A complete and precise description of the entity Explanation:The metadata element for the Customer entity provides a complete and precise description of the entity.
Q4.
Why is metadata important in a data warehouse?

a.

To increase project costs

b.

To make the data warehouse disjointed

c.

To provide answers to questions about the data

d.

To reduce data storage

Discuss
Answer: (c).To provide answers to questions about the data Explanation:Metadata is important in a data warehouse to provide answers to questions about the data.
Q5.
What happens to a data warehouse without metadata?

a.

It becomes a disjointed system

b.

It becomes highly efficient

c.

It becomes smaller in size

d.

It becomes less complex

Discuss
Answer: (a).It becomes a disjointed system Explanation:Without metadata, a data warehouse becomes a disjointed system.
Q6.
What is one major difference between a data warehouse and an operational system like an order processing application?

a.

The type of data they store

b.

The way they process data

c.

The usage and information access

d.

The number of users

Discuss
Answer: (c).The usage and information access Explanation:The major difference is in the usage and information access in a data warehouse compared to an operational system.
Q7.
How do users typically retrieve information in an operational system like an order processing application?

a.

By creating ad hoc queries

b.

By formatting their own reports

c.

By using predefined reports and GUI screens

d.

By providing specifications for report formats

Discuss
Answer: (c).By using predefined reports and GUI screens Explanation:In operational systems, users typically retrieve information using predefined reports and GUI screens.
Q8.
Why do data warehouse users need metadata?

a.

To increase the complexity of the data warehouse

b.

To create their own data dictionary

c.

To prevent IT personnel from accessing data

d.

To know about the data in the data warehouse

Discuss
Answer: (d).To know about the data in the data warehouse Explanation:Data warehouse users need metadata to know about the data in the data warehouse.
Q9.
Why is metadata more critical in today's data warehouses compared to earlier data mart implementations?

a.

Data warehouses are smaller in scope

b.

Data marts have limited user groups

c.

Data warehouses are larger and have wider scope

d.

Data marts have more sophisticated metadata

Discuss
Answer: (c).Data warehouses are larger and have wider scope Explanation:Metadata is more critical in today's data warehouses because they are larger and have a wider scope, serving a larger user base.
Q10.
What does a data extraction and transformation expert need in order to perform tasks in building the data extraction and transformation component of the data warehouse?

a.

Expertise in data extraction tools

b.

Knowledge of source systems and their data structures

c.

Knowledge of data warehousing trends

d.

Familiarity with data transformation techniques

Discuss
Answer: (b).Knowledge of source systems and their data structures Explanation:To build the data extraction and transformation component, a data expert needs to know source systems and their data structures.
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