diff --git a/ngraph/python/tests/__init__.py b/ngraph/python/tests/__init__.py
index 11a10eb505b..09a597a881f 100644
--- a/ngraph/python/tests/__init__.py
+++ b/ngraph/python/tests/__init__.py
@@ -56,8 +56,6 @@ xfail_issue_35912 = xfail_test(reason="RuntimeError: Error of validate layer: B
 xfail_issue_35923 = xfail_test(reason="RuntimeError: PReLU without weights is not supported")
 xfail_issue_35925 = xfail_test(reason="Assertion error - reduction ops results mismatch")
 xfail_issue_35927 = xfail_test(reason="RuntimeError: B has zero dimension that is not allowable")
-xfail_issue_35930 = xfail_test(reason="onnx.onnx_cpp2py_export.checker.ValidationError: "
-                                      "Required attribute 'to' is missing.")
 xfail_issue_36480 = xfail_test(reason="RuntimeError: [NOT_FOUND] Unsupported property dummy_option "
                                "by CPU plugin")
 xfail_issue_36485 = xfail_test(reason="RuntimeError: Check 'm_group >= 1' failed at "
diff --git a/ngraph/python/tests/test_onnx/test_ops_unary.py b/ngraph/python/tests/test_onnx/test_ops_unary.py
index 1dd29c56a11..ca300167b8c 100644
--- a/ngraph/python/tests/test_onnx/test_ops_unary.py
+++ b/ngraph/python/tests/test_onnx/test_ops_unary.py
@@ -10,7 +10,6 @@ from onnx.helper import make_graph, make_model, make_node, make_tensor_value_inf
 from ngraph.exceptions import NgraphTypeError
 from tests.runtime import get_runtime
 from tests.test_onnx.utils import get_node_model, import_onnx_model, run_model, run_node
-from tests import xfail_issue_35930
 
 
 @pytest.mark.parametrize(
@@ -378,8 +377,9 @@ def test_cast_to_uint(val_type):
     assert np.allclose(result, expected)
 
 
-@xfail_issue_35930
 def test_cast_errors():
+    from onnx.onnx_cpp2py_export.checker import ValidationError
+
     np.random.seed(133391)
     input_data = np.ceil(np.random.rand(2, 3, 4) * 16)
 
@@ -396,7 +396,7 @@ def test_cast_errors():
 
     graph = make_graph([node], "compute_graph", input_tensors, output_tensors)
     model = make_model(graph, producer_name="NgraphBackend")
-    with pytest.raises(RuntimeError):
+    with pytest.raises(ValidationError):
         import_onnx_model(model)
 
     # unsupported data type representation
@@ -412,7 +412,7 @@ def test_cast_errors():
 
     graph = make_graph([node], "compute_graph", input_tensors, output_tensors)
     model = make_model(graph, producer_name="NgraphBackend")
-    with pytest.raises(RuntimeError):
+    with pytest.raises(ValidationError):
         import_onnx_model(model)
 
     # unsupported input tensor data type: