Databricks Certified Data Engineer - Professional
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In the context of monitoring a Spark application within a Databricks environment, you are tasked with identifying and resolving executor-related issues to optimize performance. The application is critical for processing large datasets in real-time, and any delay could impact downstream analytics. Given the constraints of cost efficiency and the need for minimal downtime, which of the following steps would you take to accurately identify executor-related issues using the Spark UI, and what would be your immediate action to mitigate these issues? Choose the best option.
In the context of monitoring a Spark application within a Databricks environment, you are tasked with identifying and resolving executor-related issues to optimize performance. The application is critical for processing large datasets in real-time, and any delay could impact downstream analytics. Given the constraints of cost efficiency and the need for minimal downtime, which of the following steps would you take to accurately identify executor-related issues using the Spark UI, and what would be your immediate action to mitigate these issues? Choose the best option.
Explanation:
The correct approach is to inspect the 'Executors' tab for executors with high memory usage or low task execution rates, as these are direct indicators of performance bottlenecks. This method allows for a targeted response, such as reallocating resources or adjusting configurations, which aligns with the constraints of cost efficiency and minimal downtime. The other options either focus on less relevant tabs or propose solutions that are not as directly actionable or efficient.