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

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Q. Why is recreating the data from the source systems during recovery almost always impractical for a data warehouse?

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Q. What is a key reason backing up the data warehouse is critical?

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Q. What is a key consideration in designing a backup strategy for a data warehouse?

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Q. What is a crucial factor that plays a key role in backup and recovery for a data warehouse?

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Q. In a data warehouse, what is the purpose of separating the current from the historical data in the backup strategy?

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Q. What is a key consideration when choosing the medium for backing up a data warehouse?

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Q. In addition to full backups, what other types of backups are recommended for a data warehouse?

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Q. What is a significant factor that influences decisions about backup and recovery for a data warehouse?

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Q. In the data warehouse environment, why might the night slots, typically used for backups in OLTP systems, be challenging for scheduling backups?

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Q. In a practical backup schedule for a data warehouse, what factors may influence the frequency of backups for active and static data?

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Q. What is a consideration when estimating average downtime for recovery in a data warehouse?

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Q. What is an important step in the recovery process for a data warehouse?

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Q. It is a good practice to drop the indexes before the initial load.

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Q. The key of the fact table is independent of the keys of the dimension tables.

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Q. Remote deployment of desktop tools is usually faster.

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Q. A pilot data mart is necessary when the users are already very familiar with data warehousing.

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Q. Backing up the data warehouse is not necessary under any conditions because you can recover data from the source systems.

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Q. Passwords must be cryptic and arbitrary.

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Q. Always checkpoint the load jobs.

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