diff --git a/assets/model_monitoring/components/generation_safety_quality/generation_safety_quality_signal_monitor/spec.yaml b/assets/model_monitoring/components/generation_safety_quality/generation_safety_quality_signal_monitor/spec.yaml
index cfd0d2228e..2b38ebfc96 100644
--- a/assets/model_monitoring/components/generation_safety_quality/generation_safety_quality_signal_monitor/spec.yaml
+++ b/assets/model_monitoring/components/generation_safety_quality/generation_safety_quality_signal_monitor/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: generation_safety_quality_signal_monitor
 display_name: Generation Safety & Quality - Signal Monitor
 description: Computes the content generation safety metrics over LLM outputs.
-version: 0.4.3
+version: 0.4.4
 is_deterministic: true
 inputs:
   monitor_name:
@@ -158,7 +158,7 @@ jobs:
       type: aml_token
   output_signal_metrics: 
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_metric_outputter/versions/0.3.10
+    component: azureml://registries/azureml/components/model_monitor_metric_outputter/versions/0.3.11
     inputs:
       signal_metrics:
         type: mltable
diff --git a/assets/model_monitoring/components/model_monitor/model_monitor_metric_outputter/spec.yaml b/assets/model_monitoring/components/model_monitor/model_monitor_metric_outputter/spec.yaml
index 8aa7642865..0c614a1409 100644
--- a/assets/model_monitoring/components/model_monitor/model_monitor_metric_outputter/spec.yaml
+++ b/assets/model_monitoring/components/model_monitor/model_monitor_metric_outputter/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: model_monitor_metric_outputter
 display_name: Model Monitor - Metric Outputter
 description: Output the computed model monitor metrics.
-version: 0.3.10
+version: 0.3.11
 is_deterministic: true
 
 code: ../../src/
diff --git a/assets/model_monitoring/components/src/model_monitor_metric_outputter/run.py b/assets/model_monitoring/components/src/model_monitor_metric_outputter/run.py
index 43447ac25b..c9d693163f 100644
--- a/assets/model_monitoring/components/src/model_monitor_metric_outputter/run.py
+++ b/assets/model_monitoring/components/src/model_monitor_metric_outputter/run.py
@@ -59,18 +59,20 @@ def run():
     ).get_metrics_dict()
 
     samples_index: List[Row] = None
+    samples_index_df = None
     if args_dict["samples_index"]:
-        print("Processing samples index.")
-        samples_index_df = try_read_mltable_in_spark(
-            args.samples_index, "samples_index"
-        )
-        if not samples_index_df:
-            print("Samples index is empty. Skipping processing of the samples index.")
-        else:
-            samples_index: List[Row] = samples_index_df.collect()
-            result = merge_dicts(
-                result, SamplesOutputBuilder(samples_index).get_samples_dict()
+        try:
+            print("Processing samples index.")
+            samples_index_df = try_read_mltable_in_spark(
+                args.samples_index, "samples_index"
             )
+            if samples_index_df is not None:
+                samples_index: List[Row] = samples_index_df.collect()
+                result = merge_dicts(
+                    result, SamplesOutputBuilder(samples_index).get_samples_dict()
+                )
+        except Exception as e:
+            print(f"Samples index is empty. Skipping processing of the samples index. {e}")
 
     output_payload = to_output_payload(args.signal_name, args.signal_type, result)