DEA-C02 Exam Dumps | A data engineer observes that a daily data transformation pipeline in Snowflake, which processes data

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Question 146/149

A data engineer observes that a daily data transformation pipeline in Snowflake, which processes data from external stage 's3://my- bucket/raw_dataP , is consistently taking longer to complete. Upon investigation, the engineer finds that the COPY INTO statement is the bottleneck. The COPY INTO statement is as follows:

Which of the following could be the root cause of the performance degradation and how would you address them? Select two options.

A. The 'ON_ERROR = 'CONTINUE" option is causing the COPY INTO statement to perform additional error handling, slowing down the process. Remove the 'ON ERROR clause to improve performance.

B. The external stage contains a large number of small files. Snowflake's COPY INTO statement performs best with fewer, larger files. Consolidate the small files into larger files before loading.

C. The virtual warehouse used for the COPY INTO operation is undersized. Increase the virtual warehouse size to improve performance.

D. Snowflake automatically optimizes COPY INTO operations. No specific action is needed.

E. The PATTERN '. .csv' is inefficient. Refine the PATTERN to be more specific, targeting only the necessary files, potentially using date-based partitioning. If date partitioning is used, leverage partition pruning by including the appropriate date criteria in the COPY INTO statement.

Correct Answer: B,E

Option B is correct because a large number of small files can significantly degrade COPY INTO performance. Snowflake performs best with fewer, larger files. Option E is also correct because an overly broad pattern can force Snowflake to evaluate unnecessary files. Refining the pattern and leveraging partition pruning can improve performance. Option A is incorrect as 'ON_ERROR = CONTINUE' is not the primary cause for performance issues, it just handles the error instead of failing the job. Option C might help in some cases but its not the primary cause, more focusing on the data loading part. Option D is incorrect as Snowflake does not fully automize COPY INTO operations and some level of tuning might be needed.

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