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Answer: Checkpoints can be shared between different streams.
Checkpoints cannot be shared between separate streams. Each stream must have its own checkpoint directory to maintain processing guarantees. Reference: [Databricks Blog on Streaming Production Best Practices](https://www.databricks.com/blog/2022/12/12/streaming-production-collected-best-practices.html)
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Which of the following statements about checkpointing in Spark Structured Streaming is not correct?
A
Checkpointing enables the streaming engine to monitor the progress of stream processing.
B
Checkpoints are used to save the current state of a streaming job to cloud storage.
C
Checkpoints can be shared between different streams.
D
The checkpointLocation option is used to specify the checkpoint in a streaming query.
E
Fault-tolerant stream processing is ensured by checkpointing with the write-ahead logs mechanism.
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