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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.

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Role of Metadata in Data Warehousing MCQs | Page 9 of 13

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Q81.
What is a key challenge in metadata management for data warehouses?

a.

Capturing and storing data

b.

Metadata standardization

c.

Integration and merging of metadata elements

d.

Metadata exchange

Discuss
Answer: (c).Integration and merging of metadata elements Explanation:A key challenge in metadata management for data warehouses is the integration and merging of metadata elements.
Q82.
In metadata standardization, what is essential for tools that represent data structures?

a.

The tools must record metadata in a variety of ways.

b.

The tools must record metadata about data structures in different formats.

c.

The tools must record metadata about data structures in the same standard way.

d.

The tools must not record any metadata.

Discuss
Answer: (c).The tools must record metadata about data structures in the same standard way. Explanation:In metadata standardization, tools that represent data structures must record metadata about data structures in the same standard way.
Q83.
How must metadata revisions ripple throughout the data warehouse when changes occur?

a.

Metadata revisions must not ripple at all.

b.

Metadata revisions should only affect the data extraction and transformation tools.

c.

Metadata revisions must ripple throughout the data warehouse to all processes.

d.

Metadata revisions should only affect the front-end tools.

Discuss
Answer: (c).Metadata revisions must ripple throughout the data warehouse to all processes. Explanation:When changes occur, metadata revisions must ripple throughout the data warehouse to all processes.
Q84.
What is essential for metadata about data structures, data elements, events, and rules in a data warehouse?

a.

They must be kept unsynchronized.

b.

They must be synchronized at all times.

c.

Synchronization is only needed in the data transformation tools.

d.

Synchronization is only needed in the front-end tools.

Discuss
Answer: (b).They must be synchronized at all times. Explanation:In a data warehouse, metadata about data structures, data elements, events, and rules must be kept synchronized at all times.
Q85.
What must be possible for end-users while they use front-end tools for information access?

a.

End-users must not be able to view metadata recorded by back-end tools.

b.

End-users should only view metadata from the data transformation tool.

c.

Free and easy exchange of metadata from one tool to another must be possible.

d.

End-users must not have access to metadata.

Discuss
Answer: (c).Free and easy exchange of metadata from one tool to another must be possible. Explanation:While end-users use front-end tools for information access, free and easy exchange of metadata from one tool to another must be possible.
Q86.
What should metadata management provide to end-users in a data warehouse environment?

a.

Complex and technical presentations

b.

Simple graphical and tabular presentations

c.

Business rules and policies

d.

No metadata presentations

Discuss
Answer: (b).Simple graphical and tabular presentations Explanation:In a data warehouse environment, metadata management should provide simple graphical and tabular presentations to end-users, making it easy for them to browse through the metadata and understand the data in the data warehouse purely from a business perspective.
Q87.
Why is it important to establish a general list of metadata sources for a data warehouse?

a.

To keep metadata unsynchronized

b.

To make metadata management challenging

c.

To ensure that metadata is difficult to integrate

d.

To help establish a metadata management initiative

Discuss
Answer: (d).To help establish a metadata management initiative Explanation:It is important to establish a general list of metadata sources for a data warehouse to help establish a metadata management initiative.
Q88.
Which of the following is NOT a usual source of metadata in a data warehouse?

a.

Data models of operational systems

b.

Definitions of data elements from system documentation

c.

Data extraction schedules

d.

Business rules for data transformation

Discuss
Answer: (d).Business rules for data transformation Explanation:Business rules for data transformation are part of the metadata for data transformation and cleansing, making them a usual source of metadata.
Q89.
Where can you find specifications for mapping data staging files to load images?

a.

In data extraction job streams

b.

In source system data models

c.

In physical file layouts

d.

In data loading metadata

Discuss
Answer: (d).In data loading metadata Explanation:Specifications for mapping data staging files to load images can be found in data loading metadata.
Q90.
Which source provides information about the list of query and report tools?

a.

Data extraction specifications

b.

Data models of operational systems

c.

Data storage data models

d.

Information Delivery metadata

Discuss
Answer: (d).Information Delivery metadata Explanation:Information Delivery metadata provides information about the list of query and report tools.
Page 9 of 13

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