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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 8 of 13

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Q71.
Which personnel would benefit from technical metadata?

a.

Casual users

b.

Power users

c.

Data warehouse administrators

d.

Business analysts

Discuss
Answer: (c).Data warehouse administrators Explanation:Data warehouse administrators would benefit from technical metadata.
Q72.
What type of information is primarily included in technical metadata?

a.

Business descriptions and user manuals

b.

Data extraction rules and schedules

c.

Predefined queries and reports

d.

Query and report access patterns

Discuss
Answer: (b).Data extraction rules and schedules Explanation:Technical metadata primarily includes information like data extraction rules and schedules.
Q73.
How is technical metadata different from business metadata?

a.

Technical metadata is more structured and contains business terms.

b.

Technical metadata focuses on business users' needs.

c.

Business metadata is more technical in nature.

d.

Technical metadata provides details in technical terms.

Discuss
Answer: (d).Technical metadata provides details in technical terms. Explanation:Technical metadata provides details in technical terms, while business metadata is designed for business users and is more user-friendly.
Q74.
Which type of metadata focuses on providing information in business terms and is like a roadmap for end-users?

a.

Technical metadata

b.

Business metadata

c.

Development metadata

d.

Administrative metadata

Discuss
Answer: (b).Business metadata Explanation:Business metadata focuses on providing information in business terms and is like a roadmap for end-users.
Q75.
Why do companies face challenges in implementing metadata management for data warehouses?

a.

Lack of awareness about metadata

b.

Difficulty in capturing metadata during data warehouse processes

c.

Difficulty in integrating metadata from various tools

d.

Lack of interest in metadata management

Discuss
Answer: (c).Difficulty in integrating metadata from various tools Explanation:Companies face challenges in implementing metadata management for data warehouses due to the difficulty in integrating metadata from various tools.
Q76.
What percentage of respondents recognized the significance of having a metadata management strategy, but had not implemented it in a study by the Data Warehousing Institute?

a.

9%

b.

16%

c.

86%

d.

25%

Discuss
Answer: (a).9% Explanation:Only 9% of respondents recognized the significance of a metadata management strategy and had implemented it.
Q77.
In a data warehouse environment, metadata must be able to:

a.

Only serve as a roadmap for users

b.

Only support IT in development and administration

c.

Serve as a roadmap for users and support IT in development and administration

d.

None of the above

Discuss
Answer: (c).Serve as a roadmap for users and support IT in development and administration Explanation:In a data warehouse environment, metadata must serve as a roadmap for users and support IT in development and administration.
Q78.
What must metadata management provide means for in a data warehouse environment to keep track of revisions?

a.

Capturing and storing metadata with proper versioning

b.

Data dictionary definitions

c.

Data extraction methods

d.

Data transformation algorithms

Discuss
Answer: (a).Capturing and storing metadata with proper versioning Explanation:Metadata management must provide means for capturing and storing metadata with proper versioning to keep track of revisions.
Q79.
In a data warehouse environment, where does metadata come from?

a.

A single source

b.

A large variety of sources

c.

Only data extraction and transformation tools

d.

Only source operational systems

Discuss
Answer: (b).A large variety of sources Explanation:In a data warehouse environment, metadata comes from a large variety of sources, including CASE tools, operational systems, data extraction tools, data transformation tools, and more.
Q80.
Why is metadata management in a data warehouse different from that in an operational system?

a.

Metadata in a data warehouse doesn't need to keep track of revisions.

b.

Metadata in a data warehouse only comes from a single source.

c.

Metadata in a data warehouse must capture metadata from a variety of sources and keep track of revisions.

d.

Metadata in a data warehouse only comes from data extraction and transformation tools.

Discuss
Answer: (c).Metadata in a data warehouse must capture metadata from a variety of sources and keep track of revisions. Explanation:Metadata management in a data warehouse is different from that in an operational system because it must capture metadata from a variety of sources and keep track of revisions over time.
Page 8 of 13

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