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Welcome to the Data Warehouse Deployment MCQs Page

Dive deep into the fascinating world of Data Warehouse Deployment with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Warehouse Deployment, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Warehouse Deployment, 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 Data Warehouse Deployment. 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 Data Warehouse Deployment. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Warehouse Deployment MCQs | Page 7 of 9

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Q61.
How does the criticality of downtime and data loss in a data warehouse compare to that in an operational system?

a.

Downtime and data loss are more critical in a data warehouse.

b.

Downtime and data loss are less critical in a data warehouse.

c.

The criticality is the same in both a data warehouse and an operational system.

d.

The criticality depends on the size of the data warehouse.

Discuss
Answer: (b).Downtime and data loss are less critical in a data warehouse. Explanation:The criticality of downtime and data loss in a data warehouse is generally less apparent compared to an operational system, as users may not be waiting for the system to come back up.
Q62.
Why is recreating the data from the source systems during recovery almost always impractical for a data warehouse?

a.

It requires a lengthy manual data entry process.

b.

It results in data duplication.

c.

It takes an enormous amount of time.

d.

It introduces data inconsistency.

Discuss
Answer: (c).It takes an enormous amount of time. Explanation:Recreating the data from the source systems during recovery is almost always impractical for a data warehouse because it takes an enormous amount of time, and users cannot tolerate such long periods of downtime.
Q63.
What is a key reason backing up the data warehouse is critical?

a.

To recover transactional data

b.

To maintain referential integrity

c.

To recreate the data from the source systems

d.

To recreate the historical, integrated data in case of a disaster

Discuss
Answer: (d).To recreate the historical, integrated data in case of a disaster Explanation:A key reason backing up the data warehouse is critical is to recreate the historical, integrated data in case of a disaster.
Q64.
What is a key consideration in designing a backup strategy for a data warehouse?

a.

Emphasizing the backup of transactional data

b.

Prioritizing system database backups over user database backups

c.

Recognizing the enormous size of the data warehouse

d.

Focusing on frequent differential backups

Discuss
Answer: (c).Recognizing the enormous size of the data warehouse Explanation:A key consideration in designing a backup strategy for a data warehouse is recognizing the enormous size of the data warehouse, which should govern decisions in backup and recovery.
Q65.
What is a crucial factor that plays a key role in backup and recovery for a data warehouse?

a.

The frequency of full backups

b.

The simplicity of the administrative setup

c.

The emphasis on log file backups

d.

The size of the data warehouse

Discuss
Answer: (d).The size of the data warehouse Explanation:The size of the data warehouse is a crucial factor that plays a key role in backup and recovery for a data warehouse.
Q66.
In a data warehouse, what is the purpose of separating the current from the historical data in the backup strategy?

a.

To prioritize current data over historical data

b.

To reduce the time for backup and restore

c.

To improve query performance

d.

To minimize the need for log file backups

Discuss
Answer: (b).To reduce the time for backup and restore Explanation:The purpose of separating the current from the historical data in the backup strategy is to reduce the time for backup and restore.
Q67.
What is a key consideration when choosing the medium for backing up a data warehouse?

a.

The type of transactional data

b.

The simplicity of the backup tools

c.

The speed of the backup medium

d.

The frequency of archiving

Discuss
Answer: (c).The speed of the backup medium Explanation:A key consideration when choosing the medium for backing up a data warehouse is the speed of the backup medium.
Q68.
In addition to full backups, what other types of backups are recommended for a data warehouse?

a.

Incremental backups

b.

Transactional backups

c.

Log file backups and differential backups

d.

Archival backups

Discuss
Answer: (c).Log file backups and differential backups Explanation:In addition to full backups, log file backups and differential backups are recommended for a data warehouse.
Q69.
What is a significant factor that influences decisions about backup and recovery for a data warehouse?

a.

The simplicity of the recovery plan

b.

The size of the data warehouse

c.

The frequency of log file backups

d.

The availability of source systems

Discuss
Answer: (b).The size of the data warehouse Explanation:The size of the data warehouse is a significant factor that influences decisions about backup and recovery.
Q70.
In the data warehouse environment, why might the night slots, typically used for backups in OLTP systems, be challenging for scheduling backups?

a.

Users prefer daytime backups

b.

Night slots are reserved for daily incremental loads

c.

Night slots are prone to system time conflicts

d.

Users are distributed in different time zones

Discuss
Answer: (b).Night slots are reserved for daily incremental loads Explanation:In the data warehouse environment, the night slots, typically used for backups in OLTP systems, may be challenging for scheduling backups because these slots are often reserved for daily incremental loads.
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