diff --git a/tests/integ/__init__.py b/tests/integ/__init__.py
index 120311aab9..90f4029a92 100644
--- a/tests/integ/__init__.py
+++ b/tests/integ/__init__.py
@@ -113,9 +113,6 @@
     "eu-south-1",
 ]
 NO_AUTO_ML_REGIONS = [
-    "sa-east-1",
-    "me-south-1",
-    "ap-east-1",
     "eu-west-3",
     "af-south-1",
     "eu-south-1",
diff --git a/tests/integ/test_auto_ml.py b/tests/integ/test_auto_ml.py
index fc547256c6..79054c2d4f 100644
--- a/tests/integ/test_auto_ml.py
+++ b/tests/integ/test_auto_ml.py
@@ -18,7 +18,7 @@
 import tests.integ
 from sagemaker import AutoML, CandidateEstimator, AutoMLInput
 
-from sagemaker.exceptions import UnexpectedStatusException
+from botocore.exceptions import ClientError
 from sagemaker.utils import unique_name_from_base
 from tests.integ import DATA_DIR, AUTO_ML_DEFAULT_TIMEMOUT_MINUTES, auto_ml_utils
 from tests.integ.timeout import timeout
@@ -142,7 +142,9 @@ def test_auto_ml_invalid_target_attribute(sagemaker_session):
     job_name = unique_name_from_base("auto-ml", max_length=32)
     inputs = sagemaker_session.upload_data(path=TRAINING_DATA, key_prefix=PREFIX + "/input")
     with pytest.raises(
-        UnexpectedStatusException, match="Could not complete the data builder processing job."
+        ClientError,
+        match=r"An error occurred \(ValidationException\) when calling the CreateAutoMLJob "
+        "operation: Target attribute name y does not exist in header.",
     ):
         auto_ml.fit(inputs, job_name=job_name)