diff --git a/providers/amazon/tests/system/amazon/aws/example_glue_data_quality_with_recommendation.py b/providers/amazon/tests/system/amazon/aws/example_glue_data_quality_with_recommendation.py
index ccf4a63ca4c95..732b1d5bec7f6 100644
--- a/providers/amazon/tests/system/amazon/aws/example_glue_data_quality_with_recommendation.py
+++ b/providers/amazon/tests/system/amazon/aws/example_glue_data_quality_with_recommendation.py
@@ -107,6 +107,11 @@ def glue_data_quality_recommendation_workflow():
     await_evaluation_run_sensor = GlueDataQualityRuleSetEvaluationRunSensor(
         task_id="await_evaluation_run_sensor",
         evaluation_run_id=start_evaluation_run.output,
+        # The ruleset is generated dynamically by Glue's recommendation engine and is
+        # non-deterministic, so recommended rules may not always pass against the sample
+        # data. This system test only needs to exercise the operators/sensors end-to-end,
+        # not assert that every recommended rule passes, so do not fail on rule failures.
+        verify_result_status=False,
     )
 
     chain(