fix merge version issue

Signed-off-by: liyuan <[email protected]>
NVIDIA · Jun 27, 2024 · 2272520 · 2272520
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diff --git a/docs/get-started/xgboost-examples/csp/databricks/databricks.md b/docs/get-started/xgboost-examples/csp/databricks/databricks.md
@@ -21,7 +21,7 @@ Navigate to your home directory in the UI and select **Create** > **File** from
 create an `init.sh` scripts with contents:   
    ```bash
    #!/bin/bash
-   sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.04.0/rapids-4-spark_2.12-24.04.0.jar
+   sudo wget -O /databricks/jars/rapids-4-spark_2.12-24.06.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/24.06.0/rapids-4-spark_2.12-24.06.0.jar
 1. Select the Databricks Runtime Version from one of the supported runtimes specified in the
    Prerequisites section.
 2. Choose the number of workers that matches the number of GPUs you want to use.

diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/README.md
@@ -118,6 +118,8 @@ and other settings. See the top of the `Dockerfile` for details.
 
 First install docker and [nvidia-docker](https://github.com/NVIDIA/nvidia-docker)
 
+Run the following commands to build and start a docker
+
 ```bash
 cd spark-rapids-examples/examples/UDF-Examples/RAPIDS-accelerated-UDFs
 docker build -t my-local:my-udf-example-ubuntu .