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In the context of optimizing a Spark application's performance using the Spark UI, consider the following scenario: A data engineer notices that certain SQL queries are taking longer than expected to execute. The engineer decides to investigate by examining the 'SQL' tab in the Spark UI. Which of the following best describes the insights that can be gained from the 'SQL' tab and how these insights can be applied to improve the application's performance? Choose the best option.
A
The 'SQL' tab provides a detailed breakdown of the cluster's resource usage, including CPU and memory metrics, enabling the engineer to adjust resource allocation for optimal performance.
B
The 'SQL' tab lists all executed SQL queries along with their execution times, allowing the engineer to pinpoint slow queries and rewrite them for better performance.
C
The 'SQL' tab displays the physical and logical execution plans of SQL queries, offering the engineer insights into potential inefficiencies in query execution that can be addressed through optimization techniques such as query rewriting or index creation.
D
The 'SQL' tab shows the distribution of tasks across the cluster, helping the engineer to identify and resolve data skew issues that may be affecting query performance.