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The following commit(s) were added to refs/heads/master by this push:
     new 0ba89bbbb8f YAML example suite minor updates (#36074)
0ba89bbbb8f is described below

commit 0ba89bbbb8f627c49c21fd763278c0f16791c12f
Author: Charles Nguyen <phucnh...@gmail.com>
AuthorDate: Sat Sep 6 15:02:38 2025 -0400

    YAML example suite minor updates (#36074)
---
 sdks/python/apache_beam/yaml/examples/README.md                        | 3 ++-
 .../ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb       | 2 +-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/sdks/python/apache_beam/yaml/examples/README.md 
b/sdks/python/apache_beam/yaml/examples/README.md
index b053e3e6236..25765e5d48b 100644
--- a/sdks/python/apache_beam/yaml/examples/README.md
+++ b/sdks/python/apache_beam/yaml/examples/README.md
@@ -265,7 +265,8 @@ Examples that include ML-specific transforms such as 
`RunInference` and
 `MLTransform`:
 - Streaming Sentiment Analysis 
([documentation](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/sentiment_analysis))
 
([pipeline](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/sentiment_analysis/streaming_sentiment_analysis.yaml))
 - Streaming Taxi Fare Prediction 
([documentation](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/taxi_fare))
 
([pipeline](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/taxi_fare/streaming_taxifare_prediction.yaml))
-- Batch Log Analysis ML Workflow 
([documentation](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/log_analysis))
 
([pipeline](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/log_analysis/batch_log_analysis.yaml))
+- Batch Log Analysis ML Workflow 
([documentation](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/log_analysis))
 
([pipeline](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/log_analysis/batch_log_analysis.sh))
+- Fraud Detection MLOps Workflow 
([documentation](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/README.md))
 
([pipeline](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb))
 
 More information can be found about aggregation transforms
 [here](https://beam.apache.org/documentation/sdks/yaml-combine/).
diff --git 
a/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb
 
b/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb
index 52f81b56f6b..017de31d5ca 100644
--- 
a/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb
+++ 
b/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection/fraud_detection_mlops_beam_yaml_sdk.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "<table><tbody><tr>\n",
     "  <td style=\"text-align: center\">\n",
-    "    <a 
href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2Fapache%2Fbeam%2Fblob%2Fmaster%2Fsdks%2Fpython%2Fapache_beam%2Fyaml%2Fexamples%2Ftransforms%2Fml%2Ffraud_detection%2Ffraud_detection_mlops_beam_yaml_sdk.ipynb\";>\n",
+    "    <a 
href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2Fapache%2Fbeam%2Frefs%2Fheads%2Fmaster%2Fsdks%2Fpython%2Fapache_beam%2Fyaml%2Fexamples%2Ftransforms%2Fml%2Ffraud_detection%2Ffraud_detection_mlops_beam_yaml_sdk.ipynb\";>\n",
     "      <img alt=\"Google Cloud Colab Enterprise logo\" 
src=\"https://lh3.googleusercontent.com/JmcxdQi-qOpctIvWKgPtrzZdJJK-J3sWE1RsfjZNwshCFgE_9fULcNpuXYTilIR2hjwN\";
 width=\"32px\"><br> Run in Colab Enterprise\n",
     "    </a>\n",
     "  </td>\n",

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