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    • DP-203 Data Engineering on Microsoft Azure
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DP-203 Data Engineering on Microsoft Azure

Upsert data

Configure exception handling

Revert data to a previous state

Configure batch retention

Read from and write to a delta lake

Create a stream processing solution by using Stream Analytics and Azure Event Hubs

Process data by using Spark structured streaming

Create windowed aggregates

Handle schema drift

Process time series data

Process data across partitions

Configure checkpoints and watermarking during processing

Process within one partition

Scale resources

Create tests for data pipelines

Optimize pipelines for analytical or transactional purposes

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