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To enhance the efficiency of a batch processing pipeline by analyzing historical execution logs to identify patterns causing longer execution times, which technology stack or approach would be most effective?
A
Streaming execution logs to Azure Event Hubs and processing them in real-time with Azure Stream Analytics
B
Utilizing Azure Monitor's log analytics workspace to query and visualize log data for pattern identification
C
Exporting logs to Azure Blob Storage and analyzing them using Azure Databricks' Spark SQL for insights
D
Configuring continuous export of logs to Azure Data Lake Storage and using Azure Synapse Analytics for deep log analysis
