Answer Posted / Apurav Garg
Apache Spark achieves fault tolerance by storing multiple copies of the same data across different nodes in a cluster. When a task fails, it can be re-executed on another node that has a copy of the data. Additionally, Spark maintains lineage information, allowing it to recalculate dependencies if needed.
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