diff --git a/examples/MIG-Support/device-plugins/gpu-mig/pom.xml b/examples/MIG-Support/device-plugins/gpu-mig/pom.xml
index 8eadac7d1..5be1414ef 100644
--- a/examples/MIG-Support/device-plugins/gpu-mig/pom.xml
+++ b/examples/MIG-Support/device-plugins/gpu-mig/pom.xml
@@ -35,7 +35,7 @@
     </licenses>
 
     <properties>
-        <yarn.version>3.3.0</yarn.version>
+        <yarn.version>3.3.6</yarn.version>
         <java.version>1.8</java.version>
         <maven.compiler.version>3.8.1</maven.compiler.version>
         <maven.jar.plugin.version>3.2.0</maven.jar.plugin.version>
diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
index d63b6fe64..6ee898be9 100644
--- a/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/Dockerfile
@@ -42,7 +42,7 @@ RUN conda install -c conda-forge openjdk=8 maven=3.8.1 -y
 RUN conda install -c rapidsai-nightly -c nvidia -c conda-forge cudf=${BRANCH_VER} python=3.8 -y
 
 RUN wget --quiet \
-    https://github.com/Kitware/CMake/releases/download/v3.21.3/cmake-3.21.3-linux-x86_64.tar.gz \
+    https://github.com/Kitware/CMake/releases/download/v3.26.4/cmake-3.26.4-linux-x86_64.tar.gz \
     && tar -xzf cmake-3.21.3-linux-x86_64.tar.gz \
     && rm -rf cmake-3.21.3-linux-x86_64.tar.gz
 
diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/README.md b/examples/ML+DL-Examples/Spark-cuML/pca/README.md
index 18ca3cb2a..d09619de6 100644
--- a/examples/ML+DL-Examples/Spark-cuML/pca/README.md
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/README.md
@@ -14,13 +14,13 @@ User can also download the release jar from Maven central:
 
 [rapids-4-spark_2.12-23.06.0.jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.06.0/rapids-4-spark_2.12-23.06.0.jar)
 
-Note: This demo could only work with v23.04.0 version or previous.
+Note: This demo could only work with v22.02.0 version.
 
 ## Sample code
 
 User can find sample scala code in [`main.scala`](main.scala). In the sample code, we will generate random data with 2048 feature dimensions. Then we use PCA to reduce number of features to 3.
 
-Just copy the sample code into the spark-shell laucnhed according to [this section](https://github.com/NVIDIA/spark-rapids-ml#how-to-use) and REPL will give out the algorithm results.
+Just copy the sample code into the spark-shell launched according to [this section](https://github.com/NVIDIA/spark-rapids-ml#how-to-use) and REPL will give out the algorithm results.
 
 ## Notebook
 
diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml b/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml
index e6c08e770..b41356a4f 100644
--- a/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/pom.xml
@@ -52,6 +52,7 @@
             <groupId>com.nvidia</groupId>
             <artifactId>rapids-4-spark-ml_2.12</artifactId>
             <version>23.04.0-SNAPSHOT</version>
+            <!--The last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNPASHOT!-->
         </dependency>
     </dependencies>
 
diff --git a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
index e83e1a140..960d139ec 100755
--- a/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
+++ b/examples/ML+DL-Examples/Spark-cuML/pca/spark-submit.sh
@@ -17,6 +17,7 @@
 
 ML_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark-ml_2.12/23.04.0-SNAPSHOT/rapids-4-spark-ml_2.12-23.04.0-SNAPSHOT.jar
 PLUGIN_JAR=/root/.m2/repository/com/nvidia/rapids-4-spark_2.12/23.08.0-SNAPSHOT/rapids-4-spark_2.12-23.08.0-SNAPSHOT.jar
+Note: The last rapids-4-spark-ml release version is 22.02.0, snapshot version is 23.04.0-SNPASHOT.
 
 $SPARK_HOME/bin/spark-submit \
 --master spark://127.0.0.1:7077  \
diff --git a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/Dockerfile b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/Dockerfile
index 63c11815a..12f4059a5 100644
--- a/examples/UDF-Examples/RAPIDS-accelerated-UDFs/Dockerfile
+++ b/examples/UDF-Examples/RAPIDS-accelerated-UDFs/Dockerfile
@@ -58,7 +58,7 @@ CUDA_VERSION_MINOR=$(echo $CUDA_VERSION | tr -d '.' | cut -c 3); \
 # Set JDK8 as the default Java
 && update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
 
-ARG CMAKE_VERSION=3.23.3
+ARG CMAKE_VERSION=3.26.4
 
 # Install CMake
 RUN cd /tmp \
diff --git a/examples/UDF-Examples/Spark-cuSpatial/Dockerfile b/examples/UDF-Examples/Spark-cuSpatial/Dockerfile
index 6f3f7852c..6d1afc4e6 100644
--- a/examples/UDF-Examples/Spark-cuSpatial/Dockerfile
+++ b/examples/UDF-Examples/Spark-cuSpatial/Dockerfile
@@ -39,7 +39,7 @@ RUN conda --version
 RUN conda install -c conda-forge openjdk=8 maven=3.8.1 -y
 
 RUN wget --quiet \
-    https://github.com/Kitware/CMake/releases/download/v3.21.3/cmake-3.21.3-linux-x86_64.tar.gz \
+    https://github.com/Kitware/CMake/releases/download/v3.26.4/cmake-3.26.4-linux-x86_64.tar.gz \
     && tar -xzf cmake-3.21.3-linux-x86_64.tar.gz \
     && rm -rf cmake-3.21.3-linux-x86_64.tar.gz
 
diff --git a/examples/XGBoost-Examples/pom.xml b/examples/XGBoost-Examples/pom.xml
index fccdd9891..ea2a0f4aa 100644
--- a/examples/XGBoost-Examples/pom.xml
+++ b/examples/XGBoost-Examples/pom.xml
@@ -76,7 +76,7 @@
         <dependency>
             <groupId>org.scalatest</groupId>
             <artifactId>scalatest_${scala.binary.version}</artifactId>
-            <version>3.0.5</version>
+            <version>3.2.15</version>
             <scope>test</scope>
         </dependency>
     </dependencies>