diff --git a/providers/apache/spark/src/airflow/providers/apache/spark/hooks/spark_submit.py b/providers/apache/spark/src/airflow/providers/apache/spark/hooks/spark_submit.py
index 773fbc9f3c04e..df3d6a41a605b 100644
--- a/providers/apache/spark/src/airflow/providers/apache/spark/hooks/spark_submit.py
+++ b/providers/apache/spark/src/airflow/providers/apache/spark/hooks/spark_submit.py
@@ -625,9 +625,13 @@ def _process_spark_submit_log(self, itr: Iterator[Any]) -> None:
                     self.log.info("Identified spark application id: %s", self._kubernetes_application_id)
 
                 # Store the Spark Exit code
-                match_exit_code = re.search(r"\s*[eE]xit code: (\d+)", line)
-                if match_exit_code:
-                    self._spark_exit_code = int(match_exit_code.group(1))
+                # Cluster mode requires the Exit code to determine the program status
+                if self._connection.get("deploy_mode") == "cluster":
+                    match_exit_code = re.search(r"\s*[eE]xit code: (\d+)", line)
+                    if match_exit_code:
+                        self._spark_exit_code = int(match_exit_code.group(1))
+                else:
+                    self._spark_exit_code = 0
 
             # if we run in standalone cluster mode and we want to track the driver status
             # we need to extract the driver id from the logs. This allows us to poll for
diff --git a/providers/apache/spark/tests/unit/apache/spark/hooks/test_spark_submit.py b/providers/apache/spark/tests/unit/apache/spark/hooks/test_spark_submit.py
index b28eb14caa9cf..cf1f182b7b7a8 100644
--- a/providers/apache/spark/tests/unit/apache/spark/hooks/test_spark_submit.py
+++ b/providers/apache/spark/tests/unit/apache/spark/hooks/test_spark_submit.py
@@ -93,6 +93,14 @@ def setup_method(self):
                 extra='{"deploy-mode": "cluster", "namespace": "mynamespace"}',
             )
         )
+        db.merge_conn(
+            Connection(
+                conn_id="spark_k8s_client",
+                conn_type="spark",
+                host="k8s://https://k8s-master",
+                extra='{"deploy-mode": "client", "namespace": "mynamespace"}',
+            )
+        )
         db.merge_conn(
             Connection(conn_id="spark_default_mesos", conn_type="spark", host="mesos://host", port=5050)
         )
@@ -804,6 +812,22 @@ def test_process_spark_submit_log_k8s_spark_3(self):
         # Then
         assert hook._spark_exit_code == 999
 
+    def test_process_spark_client_mode_submit_log_k8s(self):
+        # Given
+        hook = SparkSubmitHook(conn_id="spark_k8s_client")
+        log_lines = [
+            "INFO - The executor with id 2 exited with exit code 137(SIGKILL, possible container OOM).",
+            "...",
+            "Pi is roughly 3.141640",
+            "SparkContext: Successfully stopped SparkContext",
+        ]
+
+        # When
+        hook._process_spark_submit_log(log_lines)
+
+        # Then
+        assert hook._spark_exit_code == 0
+
     def test_process_spark_submit_log_standalone_cluster(self):
         # Given
         hook = SparkSubmitHook(conn_id="spark_standalone_cluster")