chore: Update discovery artifacts (#1523)

## Deleted keys were detected in the following stable discovery artifacts:
displayvideo v1 https://github.com/googleapis/google-api-python-client/commit/22caa4f2f8ecb0f0ad6cfac547f9deb76fdcbebb
memcache v1 https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b

## Deleted keys were detected in the following pre-stable discovery artifacts:
memcache v1beta2 https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b

## Discovery Artifact Change Summary:
feat(apigee): update the api https://github.com/googleapis/google-api-python-client/commit/0e4fed7f1e08a616cbc81243c24391bc20ce5edb
feat(bigquery): update the api https://github.com/googleapis/google-api-python-client/commit/04e112ce89d6ddb3aeaae889c2de36070d6c2814
feat(bigtableadmin): update the api https://github.com/googleapis/google-api-python-client/commit/6b77931c3c9aba59d5b326c570a2080252c8beb1
feat(cloudprofiler): update the api https://github.com/googleapis/google-api-python-client/commit/3009ee3c238ae1fa51c529e9f187ec26693138a4
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/e5d01ecee51da0c7a2543b833a1395a94c27bef6
feat(dataproc): update the api https://github.com/googleapis/google-api-python-client/commit/fec73562a93b5a532bce6c91f0d30ec4fbd54ddb
feat(displayvideo): update the api https://github.com/googleapis/google-api-python-client/commit/22caa4f2f8ecb0f0ad6cfac547f9deb76fdcbebb
feat(documentai): update the api https://github.com/googleapis/google-api-python-client/commit/444836b9afe8d3eb8d52a1431652bfda1ad3288b
feat(healthcare): update the api https://github.com/googleapis/google-api-python-client/commit/2f3173aa4b4d154c909eea853a0c4c306834e0ab
feat(ideahub): update the api https://github.com/googleapis/google-api-python-client/commit/8ebf9d2bd419561d5eacb78823aa1fc519fe2710
feat(memcache): update the api https://github.com/googleapis/google-api-python-client/commit/393dce7a3e584ad6be58c832ec826fe3b44e353b
feat(mybusinesslodging): update the api https://github.com/googleapis/google-api-python-client/commit/c51a0d15e634c2ab1c7762533f33d59f10b01875
feat(speech): update the api https://github.com/googleapis/google-api-python-client/commit/bf6e86f6ee8c3985e1ce6f0475ef4f8685b52060
feat(streetviewpublish): update the api https://github.com/googleapis/google-api-python-client/commit/c8cf30cd67f5588d7cbe60631e42f0a49ea6c307
feat(youtube): update the api https://github.com/googleapis/google-api-python-client/commit/855cbfea1f6d46af07c4b80ab26fc30ca46370b7
diff --git a/docs/dyn/cloudprofiler_v2.projects.profiles.html b/docs/dyn/cloudprofiler_v2.projects.profiles.html
index 03586c9..79a30ca 100644
--- a/docs/dyn/cloudprofiler_v2.projects.profiles.html
+++ b/docs/dyn/cloudprofiler_v2.projects.profiles.html
@@ -102,14 +102,14 @@
     The object takes the form of:
 
 { # CreateProfileRequest describes a profile resource online creation request. The deployment field must be populated. The profile_type specifies the list of profile types supported by the agent. The creation call will hang until a profile of one of these types needs to be collected.
-  "deployment": { # Deployment contains the deployment identification information. # Deployment details.
+  "deployment": { # Deployment contains the deployment identification information. # Required. Deployment details.
     "labels": { # Labels identify the deployment within the user universe and same target. Validation regex for label names: `^[a-z0-9]([a-z0-9-]{0,61}[a-z0-9])?$`. Value for an individual label must be <= 512 bytes, the total size of all label names and values must be <= 1024 bytes. Label named "language" can be used to record the programming language of the profiled deployment. The standard choices for the value include "java", "go", "python", "ruby", "nodejs", "php", "dotnet". For deployments running on Google Cloud Platform, "zone" or "region" label should be present describing the deployment location. An example of a zone is "us-central1-a", an example of a region is "us-central1" or "us-central".
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
-  "profileType": [ # One or more profile types that the agent is capable of providing.
+  "profileType": [ # Required. One or more profile types that the agent is capable of providing.
     "A String",
   ],
 }
@@ -128,7 +128,7 @@
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
   "duration": "A String", # Duration of the profiling session. Input (for the offline mode) or output (for the online mode). The field represents requested profiling duration. It may slightly differ from the effective profiling duration, which is recorded in the profile data, in case the profiling can't be stopped immediately (e.g. in case stopping the profiling is handled asynchronously).
   "labels": { # Input only. Labels associated to this specific profile. These labels will get merged with the deployment labels for the final data set. See documentation on deployment labels for validation rules and limits.
@@ -155,7 +155,7 @@
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
   "duration": "A String", # Duration of the profiling session. Input (for the offline mode) or output (for the online mode). The field represents requested profiling duration. It may slightly differ from the effective profiling duration, which is recorded in the profile data, in case the profiling can't be stopped immediately (e.g. in case stopping the profiling is handled asynchronously).
   "labels": { # Input only. Labels associated to this specific profile. These labels will get merged with the deployment labels for the final data set. See documentation on deployment labels for validation rules and limits.
@@ -180,7 +180,7 @@
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
   "duration": "A String", # Duration of the profiling session. Input (for the offline mode) or output (for the online mode). The field represents requested profiling duration. It may slightly differ from the effective profiling duration, which is recorded in the profile data, in case the profiling can't be stopped immediately (e.g. in case stopping the profiling is handled asynchronously).
   "labels": { # Input only. Labels associated to this specific profile. These labels will get merged with the deployment labels for the final data set. See documentation on deployment labels for validation rules and limits.
@@ -207,7 +207,7 @@
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
   "duration": "A String", # Duration of the profiling session. Input (for the offline mode) or output (for the online mode). The field represents requested profiling duration. It may slightly differ from the effective profiling duration, which is recorded in the profile data, in case the profiling can't be stopped immediately (e.g. in case stopping the profiling is handled asynchronously).
   "labels": { # Input only. Labels associated to this specific profile. These labels will get merged with the deployment labels for the final data set. See documentation on deployment labels for validation rules and limits.
@@ -233,7 +233,7 @@
       "a_key": "A String",
     },
     "projectId": "A String", # Project ID is the ID of a cloud project. Validation regex: `^a-z{4,61}[a-z0-9]$`.
-    "target": "A String", # Target is the service name used to group related deployments: * Service name for GAE Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct GCE profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
+    "target": "A String", # Target is the service name used to group related deployments: * Service name for App Engine Flex / Standard. * Cluster and container name for GKE. * User-specified string for direct Compute Engine profiling (e.g. Java). * Job name for Dataflow. Validation regex: `^[a-z]([-a-z0-9_.]{0,253}[a-z0-9])?$`.
   },
   "duration": "A String", # Duration of the profiling session. Input (for the offline mode) or output (for the online mode). The field represents requested profiling duration. It may slightly differ from the effective profiling duration, which is recorded in the profile data, in case the profiling can't be stopped immediately (e.g. in case stopping the profiling is handled asynchronously).
   "labels": { # Input only. Labels associated to this specific profile. These labels will get merged with the deployment labels for the final data set. See documentation on deployment labels for validation rules and limits.