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Welcome to the Requirements as the Driving Force for Data warehousing MCQs Page

Dive deep into the fascinating world of Requirements as the Driving Force for Data warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Requirements as the Driving Force for 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 Requirements as the Driving Force for 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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Requirements as the Driving Force for Data warehousing MCQs | Page 4 of 8

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Q31.
What types of transformation functions are needed for data in ETL?

a.

Data cleansing and data extraction

b.

Input selection and name conversions

c.

Separation of input structures and data aggregation

d.

Data mining and data warehousing

Discuss
Answer: (c).Separation of input structures and data aggregation Explanation:Types of transformation functions needed for data in ETL include separation of input structures and data aggregation.
Q32.
What is the purpose of defining the initial load and update frequency in data loading?

a.

To determine the compatibility of data structures

b.

To assess the complexity of data extraction

c.

To establish a baseline for data transformation

d.

To keep the data warehouse up-to-date and specify update cycles

Discuss
Answer: (d).To keep the data warehouse up-to-date and specify update cycles Explanation:Defining the initial load and update frequency in data loading helps keep the data warehouse up-to-date and specifies update cycles.
Q33.
In the context of data loading, what should be defined in the requirements?

a.

How often each data element must be extracted from source systems

b.

The compatibility of data structures with external data sources

c.

The method for real-time updates

d.

The methods for data extraction from internal data sources

Discuss
Answer: (c).The method for real-time updates Explanation:In the context of data loading, the requirements should define the method for real-time updates.
Q34.
What is the consequence of bad data quality in a data warehouse?

a.

Enhanced user confidence

b.

Improved strategic decision-making

c.

Users quickly losing confidence in the data warehouse

d.

A reduction in data warehouse queries

Discuss
Answer: (c).Users quickly losing confidence in the data warehouse Explanation:Bad data quality in a data warehouse can lead to users quickly losing confidence in the data warehouse.
Q35.
What is the significance of data quality in a data warehouse?

a.

It is a minor concern in data warehouse implementation.

b.

It can result in minor discrepancies without serious repercussions.

c.

It is sacrosanct and crucial for user confidence and decision-making.

d.

It is primarily the responsibility of the data warehouse users.

Discuss
Answer: (c).It is sacrosanct and crucial for user confidence and decision-making. Explanation:Data quality is described as sacrosanct and crucial for user confidence and decision-making in the data warehouse.
Q36.
What should be identified in the early phase of requirements definition regarding data quality?

a.

Potential sources of data pollution in the data warehouse

b.

Query parameters for user queries

c.

Sources of data aging in source systems

d.

Types of data extraction functions

Discuss
Answer: (a).Potential sources of data pollution in the data warehouse Explanation:In the early phase of requirements definition, potential sources of data pollution in the data warehouse should be identified.
Q37.
What is the role of metadata in a data warehouse?

a.

Metadata provides information about the data dictionary.

b.

Metadata governs the movement of data between components.

c.

Metadata is primarily responsible for data cleansing.

d.

Metadata is used for data entry and data extraction.

Discuss
Answer: (b).Metadata governs the movement of data between components. Explanation:Metadata governs the movement of data between components in a data warehouse.
Q38.
What is the role of metadata in connecting user queries with the database components?

a.

Metadata is responsible for cleaning user queries.

b.

Metadata serves as a data dictionary for user queries.

c.

Metadata acts as an information resource to connect query parameters with database components.

d.

Metadata is used to generate reports from user queries.

Discuss
Answer: (c).Metadata acts as an information resource to connect query parameters with database components. Explanation:Metadata acts as an information resource to connect query parameters with database components in the data warehouse.
Q39.
Why might a tool that is ideally suited for one data warehouse be a complete misfit in another?

a.

Because the tools are designed for different operating systems

b.

Because the tools are not production-worthy

c.

Because the architectures of the two data warehouses are different

d.

Because the tools are too expensive

Discuss
Answer: (c).Because the architectures of the two data warehouses are different Explanation:Tools may be a complete misfit in another data warehouse because the architectures of the two data warehouses are different, even if the components are generally the same.
Q40.
What functions are tools generally available for in data warehousing?

a.

Data storage and data mining

b.

Query processing and middleware

c.

Data quality assurance and scorecards

d.

Data extraction and transformation, warehouse storage, and information access/delivery

Discuss
Answer: (d).Data extraction and transformation, warehouse storage, and information access/delivery Explanation:Tools are generally available for data extraction and transformation, warehouse storage, and information access/delivery functions in data warehousing.
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