Databricks Certified Data Engineer - Associate

Databricks Certified Data Engineer - Associate

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You've discovered that a process inadvertently updated a table, and you need to query yesterday's version of the data for analysis. What is the most effective method to access historical data for this purpose?





Explanation:

The correct method to query historical data is SELECT * FROM table_name TIMESTAMP AS OF date_sub(current_date(), 1). Delta Time Travel offers two approaches for accessing historical data: using a timestamp or a version number. The timestamp method allows you to specify a point in time, such as a date or a precise timestamp, to query the data as it existed at that moment. For example, SELECT count(*) FROM my_table TIMESTAMP AS OF '2019-01-01' or SELECT count(*) FROM my_table TIMESTAMP AS OF date_sub(current_date(), 1). The version number method involves specifying a version number to access the data in a specific state, like SELECT count(*) FROM my_table VERSION AS OF 5238. For more details, refer to the Delta Time Travel documentation.