diff --git a/sdk/ml/azure-ai-ml/azure/ai/ml/entities/_monitoring/thresholds.py b/sdk/ml/azure-ai-ml/azure/ai/ml/entities/_monitoring/thresholds.py
index 1a5c21ac0685..474dc1264c0a 100644
--- a/sdk/ml/azure-ai-ml/azure/ai/ml/entities/_monitoring/thresholds.py
+++ b/sdk/ml/azure-ai-ml/azure/ai/ml/entities/_monitoring/thresholds.py
@@ -104,10 +104,6 @@ def _get_default_thresholds(cls) -> "NumericalDriftMetrics":
             normalized_wasserstein_distance=0.1,
         )
 
-    @classmethod
-    def defaults(cls) -> "NumericalDriftMetrics":
-        return cls._get_default_thresholds()
-
 
 class CategoricalDriftMetrics(RestTranslatableMixin):
     """Categorical Drift Metrics
@@ -166,13 +162,6 @@ def _get_default_thresholds(cls) -> "CategoricalDriftMetrics":
             jensen_shannon_distance=0.1,
         )
 
-    @classmethod
-    def defaults(cls) -> "CategoricalDriftMetrics":
-        return cls._get_default_thresholds()
-
-    def get_name_and_threshold(self) -> Tuple:
-        return self._find_name_and_threshold()
-
 
 class DataDriftMetricThreshold(MetricThreshold):
     """Data drift metric threshold
@@ -241,8 +230,8 @@ def _from_rest_object(cls, obj: DataDriftMetricThresholdBase) -> "DataDriftMetri
     @classmethod
     def _get_default_thresholds(cls) -> "DataDriftMetricThreshold":
         return cls(
-            numerical=NumericalDriftMetrics.defaults(),
-            categorical=CategoricalDriftMetrics.defaults(),
+            numerical=NumericalDriftMetrics._get_default_thresholds(),
+            categorical=CategoricalDriftMetrics._get_default_thresholds(),
         )
 
     def __eq__(self, other: Any) -> bool:
@@ -316,8 +305,8 @@ def _from_rest_object(cls, obj: PredictionDriftMetricThresholdBase) -> "Predicti
     @classmethod
     def _get_default_thresholds(cls) -> "PredictionDriftMetricThreshold":
         return cls(
-            numerical=NumericalDriftMetrics.defaults(),
-            categorical=CategoricalDriftMetrics.defaults(),
+            numerical=NumericalDriftMetrics._get_default_thresholds(),
+            categorical=CategoricalDriftMetrics._get_default_thresholds(),
         )
 
     def __eq__(self, other: Any) -> bool: