DEA-C02 Exam Dumps | A data engineer is facing performance issues with a complex analytical query in Snowflake. The query

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Question 61/149

A data engineer is facing performance issues with a complex analytical query in Snowflake. The query joins several large tables and uses multiple window functions. The query profile indicates that a significant amount of time is spent in the 'Remote Spill' stage. This means the data from one of the query stages is spilling to the remote disk. What are the possible root causes for 'Remote Spill' and what steps can be taken to mitigate this issue? Select two options.

A. The virtual warehouse is not appropriately sized for the volume of data and complexity of the query. Increasing the virtual warehouse size might provide sufficient memory to avoid spilling.

B. The query is using a non-optimal join strategy. Review the query profile and consider using join hints to force a different join order or algorithm.

C. The 'Remote Spill' indicates network latency issues between compute nodes. There is nothing the data engineer can do to fix this; it is an infrastructure issue.

D. The window functions are operating on large partitions of data, exceeding the available memory on the compute nodes. Try to reduce the partition size by pre- aggregating the data or using filtering before applying the window functions.

E. The data being queried is stored in a non-Snowflake database, making it difficult to optimize the join.

Correct Answer: A,D

Options A and D are the correct root causes and solutions for remote spill. Remote spill indicates that a query stage is exceeding the available memory on the compute node, and the overflow data is written to remote storage (usually S3 for Snowflake). Option A addresses this by increasing the warehouse size. Option D addresses the root cause by suggesting a reduction in the amount of data being processed by the window functions. Option B could help but does not directly address the spill. Option C is unlikely as Snowflake manages the network internally, and while network issues could exist, it's not the first thing to troubleshoot. Option E is unlikely since Snowflake only queries data within Snowflake itself, unless its connecting to external tables.

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