Checkpoint allows Spark to truncate dependencies on previously computed RDDs. In the case of streams processing their role is extended. In additional, they're not a single method to prevent against failures.
You want to learn data engineering but have no idea where and how to start in this wide domain? Check if Become a Data Engineer can help you 💪
"What's the scope of a temporary table?"
🤔
Check if you can answer this and +300 other questions about AWS Big Data services in my AWS Big Data services quizz