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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 10 of 13

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Q91.
What do COBOL copybooks, program specifications, and physical file layouts have in common in the context of data warehouse metadata?

a.

They are sources of metadata for data extraction.

b.

They are sources of metadata for data transformation.

c.

They are sources of metadata for data loading.

d.

They are sources of metadata for information delivery.

Discuss
Answer: (a).They are sources of metadata for data extraction. Explanation:COBOL copybooks, program specifications, and physical file layouts are sources of metadata for data extraction.
Q92.
In which area of a data warehouse can you find data models for centralized data warehouses and dependent data marts?

a.

Data extraction

b.

Data transformation and cleansing

c.

Data loading

d.

Data storage

Discuss
Answer: (d).Data storage Explanation:Data models for centralized data warehouses and dependent data marts can be found in the data storage area of a data warehouse.
Q93.
Where would you typically find criteria for merging into initial extract files on each platform?

a.

In data models of operational systems

b.

In data transformation specifications

c.

In data extraction schedules

d.

In data storage data models

Discuss
Answer: (c).In data extraction schedules Explanation:Criteria for merging into initial extract files on each platform would typically be found in data extraction schedules.
Q94.
What is a major challenge in metadata management when using multiple software tools in a data warehouse?

a.

Industry-wide accepted standards for metadata formats

b.

Conflicting claims on the advantages of a centralized metadata repository

c.

Passing metadata along processes as data moves from source systems to storage

d.

Reconciling proprietary metadata formats from different tools

Discuss
Answer: (d).Reconciling proprietary metadata formats from different tools Explanation:A major challenge is reconciling proprietary metadata formats from different software tools when using multiple tools in a data warehouse.
Q95.
What is a challenge associated with version control of metadata in a data warehouse?

a.

The lack of standardized metadata formats

b.

The use of centralized metadata repositories

c.

The difficulty of reconciling data from source systems

d.

The need to keep metadata uniformly version-controlled throughout the data warehouse

Discuss
Answer: (d).The need to keep metadata uniformly version-controlled throughout the data warehouse Explanation:Version control of metadata throughout the data warehouse can be challenging due to the need to keep it uniformly version-controlled.
Q96.
What is a purpose of a metadata repository in a data warehouse?

a.

To create proprietary metadata formats for various software tools

b.

To manage conflicting data validation rules in source systems

c.

To store and manage metadata, classifying it into business and technical categories

d.

To standardize metadata formats across the industry

Discuss
Answer: (c).To store and manage metadata, classifying it into business and technical categories Explanation:A metadata repository is used to store and manage metadata, classifying it into business and technical categories.
Q97.
Which challenge involves dealing with conflicting standards, formats, and data naming conventions in a data warehouse with numerous source systems?

a.

The lack of industry-wide accepted standards for metadata formats

b.

Passing metadata along processes as data moves from source systems to storage

c.

Reconciling proprietary metadata formats from different tools

d.

Unifying metadata related to data sources in a large data warehouse

Discuss
Answer: (d).Unifying metadata related to data sources in a large data warehouse Explanation:Dealing with conflicting standards, formats, and data naming conventions in a data warehouse with numerous source systems is a challenge related to unifying metadata related to data sources.
Q98.
How is a metadata repository in a data warehouse often divided to serve different purposes?

a.

Business metadata is stored in a physical repository, while technical metadata is stored in a logical repository.

b.

Business metadata and technical metadata are physically separated in different repositories.

c.

Business metadata and technical metadata are stored in separate repositories.

d.

Business metadata and technical metadata are combined in a single physical repository.

Discuss
Answer: (c).Business metadata and technical metadata are stored in separate repositories. Explanation:A metadata repository in a data warehouse is often divided into separate repositories for business metadata and technical metadata.
Q99.
What is the function of the information navigator in a metadata repository in a data warehouse?

a.

It classifies and organizes metadata into logical categories.

b.

It provides historical versions of metadata.

c.

It interfaces with third-party query tools.

d.

It separates and stores logical and physical database models.

Discuss
Answer: (c).It interfaces with third-party query tools. Explanation:The information navigator in a metadata repository interfaces with third-party query tools to attach data warehouse data and view metadata definitions inside the technical metadata from these tools.
Q100.
What is one of the functions of the information navigator in a metadata repository?

a.

Customizing metadata views for individual groups of users

b.

Maintaining historical versions of metadata

c.

Allowing drill down for details from one level of metadata to a lower level

d.

Storing business and technical metadata in formats meaningful to all types of users

Discuss
Answer: (c).Allowing drill down for details from one level of metadata to a lower level Explanation:One of the functions of the information navigator is to allow users to drill down for details from one level of metadata to a lower level, providing more information.
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