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Which approach does not enhance fault tolerance and data consistency when using Apache Spark to process streaming data ingested from Azure IoT Hub?
A
Implementing idempotent writes to the sink
B
Using a single-threaded write operation to Azure Cosmos DB
C
Enabling checkpointing in Spark streaming
D
Employing write-ahead logs (WAL) for Spark streaming