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Answer: Analyze the cluster metrics, identify the source of the memory leak, fix the code, and then restart the cluster.
Identifying and fixing the source of a memory leak before restarting the cluster ensures that the issue does not recur. Analyzing cluster metrics and fixing the code helps in maintaining cluster stability and performance.
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Describe a scenario where you would need to restart a Databricks cluster due to memory leaks. Explain the steps you would take to identify the memory leak, fix it, and then restart the cluster safely.
A
Ignore the memory leak and continue running the cluster.
B
Immediately restart the cluster without checking for memory leaks.
C
Analyze the cluster metrics, identify the source of the memory leak, fix the code, and then restart the cluster.
D
Terminate the cluster and create a new one.
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