# Optimizing Spark tuning To refine your initial application tuning parameters, perform test runs of PDI steps on the Spark cluster to verify the most optimal, repeatable settings. Using an iterative approach, you can modify the parameter values for the most efficient settings for your Spark cluster and individual KTR configurations. As more jobs are executed on the cluster, the tuning parameters may need to be adjusted for additional resource consumption, overhead, and other factors. You can verify optimized tuning as described in the following steps. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.pentaho.com/install/9.3-install/pentaho-configuration/tasks-to-be-performed-by-an-it-administrator/set-up-the-adaptive-execution-layer-ael/advanced-topics/spark-tuning-landing-page-cp/configuring-application-tuning-parameters-for-spark/optimizing-spark-tuning.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.