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Consider a scenario where you need to update multiple records in a Spark table using Type 1 strategy. Describe the steps you would take to ensure that the updates are efficient and minimize the impact on the overall performance of the Spark cluster. Include considerations for data partitioning, caching, and the use of DataFrame APIs.