diff --git a/google/cloud/aiplatform/pipeline_jobs.py b/google/cloud/aiplatform/pipeline_jobs.py
index 42c65ca6d4..3efa6c1e84 100644
--- a/google/cloud/aiplatform/pipeline_jobs.py
+++ b/google/cloud/aiplatform/pipeline_jobs.py
@@ -628,13 +628,6 @@ def done(self) -> bool:
 
         return self.state in _PIPELINE_COMPLETE_STATES
 
-    def _has_failed(self) -> bool:
-        """Return True if PipelineJob has Failed."""
-        if not self._gca_resource:
-            return False
-
-        return self.state in _PIPELINE_ERROR_STATES
-
     def _get_context(self) -> context.Context:
         """Returns the PipelineRun Context for this PipelineJob in the MetadataStore.
 
@@ -655,7 +648,7 @@ def _get_context(self) -> context.Context:
             time.sleep(1)
 
         if not pipeline_run_context:
-            if self._has_failed:
+            if self.has_failed:
                 raise RuntimeError(
                     f"Cannot associate PipelineJob to Experiment: {self.gca_resource.error}"
                 )
diff --git a/tests/unit/aiplatform/test_pipeline_jobs.py b/tests/unit/aiplatform/test_pipeline_jobs.py
index efa3bafc47..0011758085 100644
--- a/tests/unit/aiplatform/test_pipeline_jobs.py
+++ b/tests/unit/aiplatform/test_pipeline_jobs.py
@@ -1567,6 +1567,61 @@ def test_pipeline_failure_raises(self, mock_load_yaml_and_json, sync):
             if not sync:
                 job.wait()
 
+    @pytest.mark.usefixtures(
+        "mock_pipeline_service_create",
+        "mock_pipeline_service_get_with_fail",
+        "mock_pipeline_bucket_exists",
+    )
+    @pytest.mark.parametrize(
+        "job_spec",
+        [_TEST_PIPELINE_SPEC_JSON, _TEST_PIPELINE_SPEC_YAML, _TEST_PIPELINE_JOB],
+    )
+    def test_pipeline_job_has_failed_property(self, mock_load_yaml_and_json):
+        aiplatform.init(
+            project=_TEST_PROJECT,
+            staging_bucket=_TEST_GCS_BUCKET_NAME,
+            location=_TEST_LOCATION,
+            credentials=_TEST_CREDENTIALS,
+        )
+
+        job = pipeline_jobs.PipelineJob(
+            display_name=_TEST_PIPELINE_JOB_DISPLAY_NAME,
+            template_path=_TEST_TEMPLATE_PATH,
+            job_id=_TEST_PIPELINE_JOB_ID,
+            parameter_values=_TEST_PIPELINE_PARAMETER_VALUES,
+            enable_caching=True,
+        )
+
+        job.submit(
+            service_account=_TEST_SERVICE_ACCOUNT,
+            network=_TEST_NETWORK,
+        )
+
+        assert job.state == gca_pipeline_state.PipelineState.PIPELINE_STATE_RUNNING
+        assert job.state == gca_pipeline_state.PipelineState.PIPELINE_STATE_RUNNING
+        assert job.has_failed
+
+    @pytest.mark.parametrize(
+        "job_spec",
+        [_TEST_PIPELINE_SPEC_JSON, _TEST_PIPELINE_SPEC_YAML, _TEST_PIPELINE_JOB],
+    )
+    def test_pipeline_job_has_failed_property_with_no_submit(
+        self, mock_load_yaml_and_json
+    ):
+        job = pipeline_jobs.PipelineJob(
+            display_name=_TEST_PIPELINE_JOB_DISPLAY_NAME,
+            template_path=_TEST_TEMPLATE_PATH,
+            job_id=_TEST_PIPELINE_JOB_ID,
+            parameter_values=_TEST_PIPELINE_PARAMETER_VALUES,
+            enable_caching=True,
+        )
+
+        with pytest.raises(
+            RuntimeError,
+            match=r"PipelineJob resource has not been created\.",
+        ):
+            assert job.has_failed
+
     @pytest.mark.parametrize(
         "job_spec",
         [_TEST_PIPELINE_SPEC_JSON, _TEST_PIPELINE_SPEC_YAML, _TEST_PIPELINE_JOB],