A company is building a dashboard for thousands of Analysts. The dashboard presents the results of a few summary queries on tables that are regularly updated. The query conditions vary by tope according to what data each Analyst needs Responsiveness of the dashboard queries is a top priority, and the data cache should be preserved.
How should the Data Engineer configure the compute resources to support this dashboard?
Which callback function is required within a JavaScript User-Defined Function (UDF) for it to execute successfully?
A Data Engineer enables a result cache at the session level with the following command:
ALTER SESSION SET USE CACHED RESULT = TRUE;
The Engineer then runs the following select query twice without delay:
The underlying table does not change between executions
What are the results of both runs?
A large table with 200 columns contains two years of historical dat
a. When queried. the table is filtered on a single day Below is the Query Profile:
Using a size 2XL virtual warehouse, this query look over an hour to complete
What will improve the query performance the MOST?
A table is loaded using Snowpipe and truncated afterwards Later, a Data Engineer finds that the table needs to be reloaded but the metadata of the pipe will not allow the same files to be loaded again.
How can this issue be solved using the LEAST amount of operational overhead?