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A company runs a mission-critical Azure Data Factory pipeline that ingests data every hour from Azure Blob Storage into Azure Synapse Dedicated SQL Pool. Recently, the pipeline has been failing with timeout errors during the copy activity. The source blob files are around 500 MB each. Which configuration change would MOST effectively reduce the likelihood of timeout errors?
Option D is correct because enabling staging allows the copy activity to use Azure Blob Storage as an intermediate staging area, which breaks the 500 MB files into manageable chunks and uses parallel staging writes to the Dedicated SQL Pool. This reduces the load on the single co…Read full explanation
You are designing a data processing solution using Azure Databricks with Delta Lake. The data is partitioned by date and ingested daily. You notice that the Delta table has many small files, causing slow read performance. Which strategy should you recommend to optimize the table for faster queries?
Option A is correct because running OPTIMIZE on a Delta Lake table compacts many small files into larger ones, reducing the number of files that need to be read during queries. This directly addresses the slow read performance caused by the small file problem, which is common in …Read full explanation
A data engineer monitors an Azure Stream Analytics job that processes real-time data. The job is falling behind, and the SU utilization is at 100%. Which action should be taken to improve performance?
When SU utilization reaches 100%, the job is fully saturated and cannot process incoming data fast enough. Increasing the number of Streaming Units (SU) allocates more compute resources (CPU and memory) to the job, allowing it to handle higher throughput and reduce backlog. This …Read full explanation
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