Welcome to the The Physical Design Process MCQs Page

Dive deep into the fascinating world of The Physical Design Process with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of The Physical Design Process, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of The Physical Design Process, 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.

Check out the MCQs below to embark on an enriching journey through The Physical Design Process. 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 The Physical Design Process. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

The Physical Design Process MCQs | Page 5 of 9

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Defining the Business Requirements

06

Requirements as the Driving Force for Data warehousing 🔒

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Architectural Components 🔒

08

Infrastructure as the Foundation for Data Warehousing 🔒

09

Role of Metadata in Data Warehousing 🔒

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Principles of Dimensional Modeling

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Advanced Topics in Dimensional Modeling 🔒

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Data Extraction,Transformation and Loading 🔒

13

Importance of Data Quality

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Matching Information to the Classes of Users

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OLAP in the Data Warehouse 🔒

16

Data Warehousing and the Web 🔒

17

Data Mining Basics 🔒

18

Data Warehouse Deployment 🔒

19

Growth and Maintenance

20

Important Terms and Definitions

Q41.

Why is migration less of a concern in data warehouses compared to other systems?

Data warehouses have a negligible number of updates

Data warehouses use a simplified migration process

Data warehouses do not support dynamic extension

Data warehouses have smaller block sizes

Discuss

Answer: (a).Data warehouses have a negligible number of updates Explanation:Migration is less of a concern in data warehouses compared to other systems because data warehouses have a negligible number of updates.

Q42.

How can block underutilization be managed in terms of the "Block Percent Free" and "Block Percent Used" parameters?

Increase both parameters to improve block utilization

Decrease "Block Percent Free" and increase "Block Percent Used"

Increase "Block Percent Free" and decrease "Block Percent Used"

There is no relationship between these parameters and block utilization

Discuss

Answer: (b).Decrease "Block Percent Free" and increase "Block Percent Used" Explanation:Block underutilization can be managed by decreasing the "Block Percent Free" parameter and increasing the "Block Percent Used" parameter.

Q43.

What does RAID stand for in the context of data storage?

Random Array of Inexpensive Disks

Redundant Array of Inexpensive Disks

Random Access of Independent Disks

Redundant Access of Independent Disks

Discuss

Answer: (b).Redundant Array of Inexpensive Disks Explanation:RAID stands for Redundant Array of Inexpensive Disks.

Q44.

What is the purpose of disk mirroring in RAID?

Spreading data across multiple disks

Adding a parity bit for error checking

Writing the same data to two disk drives connected to the same controller

Duplexing data to enhance performance

Discuss

Answer: (c).Writing the same data to two disk drives connected to the same controller Explanation:The purpose of disk mirroring in RAID is to write the same data to two disk drives connected to the same controller.

Q45.

How does RAID 5 provide fault tolerance?

By duplicating data on two separate controllers

By adding a parity bit for error checking

By writing the same data to two disk drives connected to the same controller

By using disk striping and parity checking

Discuss

Answer: (d).By using disk striping and parity checking Explanation:RAID 5 provides fault tolerance by using disk striping and parity checking.

Q46.

In RAID technology, what does disk striping involve?

Spreading data across multiple disks

Adding a parity bit for error checking

Duplicating data on two separate controllers

Writing the same data to two disk drives connected to the same controller

Discuss

Answer: (a).Spreading data across multiple disks Explanation:In RAID technology, disk striping involves spreading data across multiple disks.

Q47.

What is the advantage of RAID technology?

It provides the highest level of fault tolerance

It has the lowest cost among storage technologies

It allows for the fastest data access speed

It enables continued operation during disk failure and recovery

Discuss

Answer: (d).It enables continued operation during disk failure and recovery Explanation:The advantage of RAID technology is that it enables continued operation during disk failure and recovery.

Q48.

In a query-centric system like a data warehouse, what dominates the need to process queries faster?

Data retrieval speed

Data integrity

Query complexity

Data loading speed

Discuss

Answer: (c).Query complexity Explanation:In a query-centric system like a data warehouse, the need to process queries faster is dominated by query complexity.

Q49.

What is one of the most effective methods for improving performance in a data warehouse?

Data replication

Data normalization

Indexing

Data partitioning

Discuss

Answer: (c).Indexing Explanation:One of the most effective methods for improving performance in a data warehouse is indexing.

Q50.

Why can you create a number of indexes for each table in a data warehouse?

Because the tables are read-only

Because the tables are frequently updated

Because the tables have a small volume of data

Because the tables have a simple structure

Discuss

Answer: (a).Because the tables are read-only Explanation:In a data warehouse, tables are typically read-only, allowing for the creation of multiple indexes without incurring additional overhead for updates or deletes.

Page 5 of 9

Building Blocks of Data Warehouse 🔒

Trends in Data Warehousing 🔒

Planning and Project Management 🔒

Requirements as the Driving Force for Data warehousing 🔒

Architectural Components 🔒

Infrastructure as the Foundation for Data Warehousing 🔒

Role of Metadata in Data Warehousing 🔒

Advanced Topics in Dimensional Modeling 🔒

Data Extraction,Transformation and Loading 🔒

OLAP in the Data Warehouse 🔒

Data Warehousing and the Web 🔒

Data Mining Basics 🔒

Data Warehouse Deployment 🔒

Welcome to the The Physical Design Process MCQs Page

The Physical Design Process MCQs | Page 5 of 9

Explore more Topics under Data Warehousing and OLAP

The Compelling Need for Data Warehousing

Defining the Business Requirements

Principles of Dimensional Modeling

Importance of Data Quality

Matching Information to the Classes of Users

Growth and Maintenance

Important Terms and Definitions

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