diff --git a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies.proto b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies.proto
index 8d10a86f0e1a..bec577e47564 100644
--- a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies.proto
+++ b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies.proto
@@ -170,7 +170,7 @@ message BasicYarnAutoscalingConfig {
   // aggressive scaling). A scale-up factor closer to 0 will result in a smaller
   // magnitude of scaling up (less aggressive scaling).
   // See [How autoscaling
-  // works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
+  // works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
   // for more information.
   //
   // Bounds: [0.0, 1.0].
@@ -182,7 +182,7 @@ message BasicYarnAutoscalingConfig {
   // update (more aggressive scaling). A scale-down factor of 0 disables
   // removing workers, which can be beneficial for autoscaling a single job.
   // See [How autoscaling
-  // works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
+  // works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
   // for more information.
   //
   // Bounds: [0.0, 1.0].
diff --git a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies_pb2.py b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies_pb2.py
index 597ba982257c..22c0273a45fa 100644
--- a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies_pb2.py
+++ b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/autoscaling_policies_pb2.py
@@ -885,7 +885,8 @@
           memory remaining after the update (more aggressive scaling). A
           scale-up factor closer to 0 will result in a smaller magnitude
           of scaling up (less aggressive scaling). See `How autoscaling
-          works </dataproc/docs/concepts/configuring-
+          works
+          <https://cloud.google.com/dataproc/docs/concepts/configuring-
           clusters/autoscaling#how_autoscaling_works>`__ for more
           information.  Bounds: [0.0, 1.0].
       scale_down_factor:
@@ -895,7 +896,8 @@
           available memory remaining after the update (more aggressive
           scaling). A scale-down factor of 0 disables removing workers,
           which can be beneficial for autoscaling a single job. See `How
-          autoscaling works </dataproc/docs/concepts/configuring-
+          autoscaling works
+          <https://cloud.google.com/dataproc/docs/concepts/configuring-
           clusters/autoscaling#how_autoscaling_works>`__ for more
           information.  Bounds: [0.0, 1.0].
       scale_up_min_worker_fraction:
diff --git a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/clusters_pb2.py b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/clusters_pb2.py
index d23317d56c92..845ea5a5da1b 100644
--- a/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/clusters_pb2.py
+++ b/packages/google-cloud-dataproc/google/cloud/dataproc_v1/proto/clusters_pb2.py
@@ -3590,11 +3590,11 @@
           completed. By default, executables are run on master and all
           worker nodes. You can test a node’s ``role`` metadata to run
           an executable on a master or worker node, as shown below using
-          ``curl`` (you can also use ``wget``):  ::     ROLE=$(curl -H
-          Metadata-Flavor:Google    http://metadata/computeMetadata/v1/i
-          nstance/attributes/dataproc-role)    if [[ "${ROLE}" ==
-          'Master' ]]; then      ... master specific actions ...    else
-          ... worker specific actions ...    fi
+          ``curl`` (you can also use ``wget``):  ROLE=\ :math:`(curl -H
+          Metadata-Flavor:Google  http://metadata/computeMetadata/v1/ins
+          tance/attributes/dataproc-role)  if [[ "`\ {ROLE}" == ‘Master’
+          ]]; then … master specific actions … else … worker specific
+          actions … fi
       encryption_config:
           Optional. Encryption settings for the cluster.
       autoscaling_config:
diff --git a/packages/google-cloud-dataproc/synth.metadata b/packages/google-cloud-dataproc/synth.metadata
index 29458e54c571..6045f07e73a2 100644
--- a/packages/google-cloud-dataproc/synth.metadata
+++ b/packages/google-cloud-dataproc/synth.metadata
@@ -4,14 +4,15 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/python-dataproc.git",
-        "sha": "29e42dc71aa02e38bf7a5d83cc6a13e8487a48c2"
+        "sha": "69424f2d7735fece95620520fc83ecf88bde7fbb"
       }
     },
     {
       "git": {
-        "name": "synthtool",
-        "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "5f2f711c91199ba2f609d3f06a2fe22aee4e5be3"
+        "name": "googleapis",
+        "remote": "https://github.com/googleapis/googleapis.git",
+        "sha": "6fd07563a2f1a6785066f5955ad9659a315e4492",
+        "internalRef": "324941614"
       }
     },
     {