SparkTrials is always the best choice for parallelizing hyperparameter tuning and has no challenges or limitations.

Using SparkTrials can lead to issues such as resource contention and communication overhead, which can be addressed through careful configuration and monitoring.

SparkTrials is only used for parallelizing hyperparameter tuning of distributed models, not single-node models.

SparkTrials is not suitable for hyperparameter tuning and should be avoided.