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Welcome to the Advanced Topics in Dimensional Modeling MCQs Page

Dive deep into the fascinating world of Advanced Topics in Dimensional Modeling with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Advanced Topics in Dimensional Modeling, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Advanced Topics in Dimensional Modeling, 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 Advanced Topics in Dimensional Modeling. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

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Advanced Topics in Dimensional Modeling MCQs | Page 8 of 10

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Q71.
What is typically shared among the fact tables in a family of STAR schemas?

a.

Aggregated measures

b.

Derived dimension tables

c.

Dimension tables

d.

Aggregate fact tables

Discuss
Answer: (c).Dimension tables Explanation:Dimension tables are typically shared among the fact tables in a family of STAR schemas.
Q72.
In what kind of business would it make sense to have families of STAR schemas consisting of transaction and snapshot schemas?

a.

Banking or telephone services

b.

Manufacturing or production-type enterprises

c.

Medical centers

d.

Retail businesses

Discuss
Answer: (a).Banking or telephone services Explanation:In businesses like banking or telephone services, it makes sense to have families of STAR schemas consisting of transaction and snapshot schemas.
Q73.
In which type of business does it make sense to have a schema capturing transaction data that supports strategic decision making and revenue analysis?

a.

Retail businesses

b.

Manufacturing companies

c.

Medical centers

d.

Telephone companies

Discuss
Answer: (d).Telephone companies Explanation:A telephone company benefits from a transaction schema to support strategic decision making and revenue analysis.
Q74.
What kind of data analysis is primarily supported by a transaction schema?

a.

Individual account balances

b.

Total amounts at periodic intervals

c.

Customer demographics

d.

Product sales analysis

Discuss
Answer: (d).Product sales analysis Explanation:A transaction schema primarily supports data analysis related to individual transactions, such as product sales analysis.
Q75.
What kind of questions are typically addressed by a snapshot schema in a telephone company's data warehouse?

a.

Questions about individual phone transactions

b.

Questions about shifting and movement of account balances

c.

Questions about customer demographics

d.

Questions about specific products and services

Discuss
Answer: (b).Questions about shifting and movement of account balances Explanation:A snapshot schema typically addresses questions about the shifting and movement of account balances at specific intervals.
Q76.
In a bank's data warehouse, what does the core fact table typically contain?

a.

Metrics common to all types of accounts

b.

Customer demographics

c.

Individual transaction amounts

d.

Product sales data

Discuss
Answer: (a).Metrics common to all types of accounts Explanation:The core fact table in a bank's data warehouse typically contains metrics that are common to all types of accounts.
Q77.
In a family of STARS with core and custom tables, what is the purpose of the custom fact tables?

a.

To hold metrics common to all products and services

b.

To track individual transaction amounts

c.

To contain metrics specific to a particular product or service

d.

To store customer demographics

Discuss
Answer: (c).To contain metrics specific to a particular product or service Explanation:The custom fact tables in a family of STARS hold metrics that are specific to a particular product or service.
Q78.
What is the primary advantage of using core and custom tables in a data warehouse for businesses with diverse products and services?

a.

Simplifies data storage by merging all metrics into one table

b.

Allows for better tracking and analysis of specific products or services

c.

Reduces the number of dimension tables required

d.

Eliminates the need for a core fact table

Discuss
Answer: (b).Allows for better tracking and analysis of specific products or services Explanation:Core and custom tables allow for better tracking and analysis of specific products or services, which is especially beneficial for businesses with diverse offerings.
Q79.
In a manufacturing business, what are the typical steps through which a product travels before becoming finished goods?

a.

Sales, production, distribution, and inventory

b.

Raw materials, assembly, packaging, and distribution

c.

Manufacturing, sales, packaging, and transportation

d.

Procurement, manufacturing, sales, and distribution

Discuss
Answer: (b).Raw materials, assembly, packaging, and distribution Explanation:In a manufacturing business, a product typically travels through steps involving raw materials, assembly, packaging, and distribution before becoming finished goods.
Q80.
What is the primary purpose of creating STAR schemas for different steps in a value chain in a business?

a.

To reduce the number of dimensions required

b.

To simplify data storage

c.

To track important metrics at different steps

d.

To eliminate the need for data warehousing

Discuss
Answer: (c).To track important metrics at different steps Explanation:STAR schemas are created to track important metrics at different steps along the value chain in a business.
Page 8 of 10

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