Which of the following strategies would NOT be recommended for managing skewed data during join operations in Spark?

• A.Salting the keys to distribute the data more evenly across partitions.
• B.Using a broadcast join assuming one dataset is small enough to fit into memory.
• C.Applying a filter to remove outliers that cause data skewness before joining.
• D.Increasing the number of partitions to distribute the skewed data more evenly.

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You're deploying a Spark application in a Kubernetes cluster. Which YAML specification would correctly define a SparkApplication in cluster mode using Scala and the Spark Pi example?

• A.Option A
• B.Option B
• C.Option C
• D.Option D

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