Apache Spark is designed to be fault tolerant, and can recover from failures automatically. If a node fails, Spark will automatically redistribute the data and restart the failed task on a different node in the cluster. Spark also provides mechanisms for data replication and checkpointing to ensure that data is not lost in the event of a failure.