Professional-Data-Engineer Exam Dumps | You are designing a fault-tolerant architecture to store data in a regional BigOuery dataset. You need

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Question 111/180

You are designing a fault-tolerant architecture to store data in a regional BigOuery dataset. You need to ensure that your application is able to recover from a corruption event in your tables that occurred within the past seven days. You want to adopt managed services with the lowest RPO and most cost-effective solution.
What should you do?

A. Export the data from BigQuery into a new table that excludes the corrupted data.

B. Migrate your data to multi-region BigQuery buckets.

C. Access historical data by using time travel in BigQuery.

D. Create a BigQuery table snapshot on a daily basis.

Correct Answer: C

Time travel is a feature of BigQuery that allows you to query and recover data from any point within the past seven days. You can use the FOR SYSTEM_TIME AS OF clause in your SQL query to specify the timestamp of the data you want to access. This way, you can restore your tables to a previous state before the corruption event occurred. Time travel is automatically enabled for all datasets and does not incur any additional cost or storage.
References:
Data retention with time travel and fail-safe | BigQuery | Google Cloud BigQuery Time Travel: How to access Historical Data? | Easy Steps

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