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NEW QUESTION 39
What happens to the underlying table data when a CLUSTER BY clause is added to a Snowflake table?

A. Larger micro-partitions are created for common data values to reduce the number of partitions that must be scannedB. Smaller micro-partitions are created for common data values to allow for more parallelismC. Data is hashed by the cluster key to facilitate fast searches for common data valuesD. Data may be colocated by the cluster key within the micro-partitions to improve pruning performance

Answer: D

 

NEW QUESTION 40
Which of the following statements is true of data loading?
Select one.

A. Resizing the virtual warehouse from x-Small to Small will process a single file twice as fastB. The "deal file size for loading is 16MB to match micro-partition sizeC. Marry files in the 10-lOOMB range tend to land In the 'sweet spot" for load parallelism Once loaded, there is no option to force a reload of an already loaded file

Answer: C

 

NEW QUESTION 41
What features does Snowflake Time Travel enable?

A. Analyzing data usage/manipulation over all periods of timeB. Querying data-related objects that were created within the past 365 daysC. Restoring data-related objects that have been deleted within the past 90 daysD. Conducting point-in-time analysis for Bl reporting

Answer: C

Explanation:
Snowflake Time Travel enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. It serves as a powerful tool for performing the following tasks:
Restoring data-related objects (tables, schemas, and databases) that might have been accidentally or intentionally deleted.
Duplicating and backing up data from key points in the past.
Analyzing data usage/manipulation over specified periods of time.
https://docs.snowflake.com/en/user-guide/data-time-travel.html

 

NEW QUESTION 42
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