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[SPARK-31960][YARN][DOCS][FOLLOW-UP] Document the behaviour change of Hadoop's classpath propagation in migration guide #30903

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[SPARK-31960][YARN][DOCS][FOLLOW-UP] Document the behaviour change of Hadoop's classpath propagation in migration guide #30903

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2 changes: 2 additions & 0 deletions docs/core-migration-guide.md
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- In Spark 3.0 and below, `SparkContext` can be created in executors. Since Spark 3.1, an exception will be thrown when creating `SparkContext` in executors. You can allow it by setting the configuration `spark.executor.allowSparkContext` when creating `SparkContext` in executors.

- In Spark 3.0 and below, Spark propagated the Hadoop classpath from `yarn.application.classpath` and `mapreduce.application.classpath` into the Spark application submitted to YARN when Spark distribution is with the built-in Hadoop. Since Spark 3.1, it does not propagate anymore when the Spark distribution is with the built-in Hadoop in order to prevent the failure from the different transitive dependencies picked up from the Hadoop cluster such as Guava and Jackson. To restore the behavior before Spark 3.1, you can set `spark.yarn.populateHadoopClasspath` to `true`.

## Upgrading from Core 2.4 to 3.0

- The `org.apache.spark.ExecutorPlugin` interface and related configuration has been replaced with
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