Update services based on v1.44.122 of AWS Go SDK

Reference: https://github.com/aws/aws-sdk-go/releases/tag/v1.44.122

Author: web-flow

.latest-tag-aws-sdk-go

@@ -1 +1 @@
-v1.44.121
+v1.44.122

lib/aws/generated/acmpca.ex

@@ -3,8 +3,7 @@
 
 defmodule AWS.ACMPCA do
   @moduledoc """
-  This is the *Certificate Manager Private Certificate Authority (PCA) API
-  Reference*.
+  This is the *Private Certificate Authority (PCA) API Reference*.
 
   It provides descriptions, syntax, and usage examples for each of the actions and
   data types involved in creating and managing a private certificate authority

lib/aws/generated/batch.ex

@@ -9,20 +9,19 @@ defmodule AWS.Batch do
   Cloud.
 
   Batch computing is a common means for developers, scientists, and engineers to
-  access large amounts of compute resources. Batch uses the advantages of this
-  computing workload to remove the undifferentiated heavy lifting of configuring
-  and managing required infrastructure. At the same time, it also adopts a
-  familiar batch computing software approach. Given these advantages, Batch can
-  help you to efficiently provision resources in response to jobs submitted, thus
-  effectively helping you to eliminate capacity constraints, reduce compute costs,
-  and deliver your results more quickly.
+  access large amounts of compute resources. Batch uses the advantages of the
+  batch computing to remove the undifferentiated heavy lifting of configuring and
+  managing required infrastructure. At the same time, it also adopts a familiar
+  batch computing software approach. You can use Batch to efficiently provision
+  resources d, and work toward eliminating capacity constraints, reducing your
+  overall compute costs, and delivering results more quickly.
 
   As a fully managed service, Batch can run batch computing workloads of any
   scale. Batch automatically provisions compute resources and optimizes workload
   distribution based on the quantity and scale of your specific workloads. With
   Batch, there's no need to install or manage batch computing software. This means
-  that you can focus your time and energy on analyzing results and solving your
-  specific problems.
+  that you can focus on analyzing results and solving your specific problems
+  instead.
   """
 
   alias AWS.Client
@@ -48,9 +47,9 @@ defmodule AWS.Batch do
   Cancels a job in an Batch job queue.
 
   Jobs that are in the `SUBMITTED`, `PENDING`, or `RUNNABLE` state are canceled.
-  Jobs that have progressed to `STARTING` or `RUNNING` aren't canceled, but the
-  API operation still succeeds, even if no job is canceled. These jobs must be
-  terminated with the `TerminateJob` operation.
+  Jobs that progressed to the `STARTING` or `RUNNING` state aren't canceled.
+  However, the API operation still succeeds, even if no job is canceled. These
+  jobs must be terminated with the `TerminateJob` operation.
   """
   def cancel_job(%Client{} = client, input, options \\ []) do
     url_path = "/v1/canceljob"
@@ -91,10 +90,10 @@ defmodule AWS.Batch do
   Multi-node parallel jobs aren't supported on Spot Instances.
 
   In an unmanaged compute environment, you can manage your own EC2 compute
-  resources and have a lot of flexibility with how you configure your compute
-  resources. For example, you can use custom AMIs. However, you must verify that
-  each of your AMIs meet the Amazon ECS container instance AMI specification. For
-  more information, see [container instance AMIs](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/container_instance_AMIs.html)
+  resources and have flexibility with how you configure your compute resources.
+  For example, you can use custom AMIs. However, you must verify that each of your
+  AMIs meet the Amazon ECS container instance AMI specification. For more
+  information, see [container instance AMIs](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/container_instance_AMIs.html)
   in the *Amazon Elastic Container Service Developer Guide*. After you created
   your unmanaged compute environment, you can use the
   `DescribeComputeEnvironments` operation to find the Amazon ECS cluster that's
@@ -124,7 +123,7 @@ defmodule AWS.Batch do
   To use the enhanced updating of compute environments to update AMIs, follow
   these rules:
 
-     Either do not set the service role (`serviceRole`) parameter or set
+     Either don't set the service role (`serviceRole`) parameter or set
   it to the **AWSBatchServiceRole** service-linked role.
 
      Set the allocation strategy (`allocationStrategy`) parameter to
@@ -133,27 +132,26 @@ defmodule AWS.Batch do
      Set the update to latest image version
   (`updateToLatestImageVersion`) parameter to `true`.
 
-     Do not specify an AMI ID in `imageId`, `imageIdOverride` (in [
+     Don't specify an AMI ID in `imageId`, `imageIdOverride` (in [
   `ec2Configuration`
   ](https://docs.aws.amazon.com/batch/latest/APIReference/API_Ec2Configuration.html)),
-  or in the launch template (`launchTemplate`). In that case Batch will select the
-  latest Amazon ECS optimized AMI supported by Batch at the time the
-  infrastructure update is initiated. Alternatively you can specify the AMI ID in
+  or in the launch template (`launchTemplate`). In that case, Batch selects the
+  latest Amazon ECS optimized AMI that's supported by Batch at the time the
+  infrastructure update is initiated. Alternatively, you can specify the AMI ID in
   the `imageId` or `imageIdOverride` parameters, or the launch template identified
-  by the `LaunchTemplate` properties. Changing any of these properties will
-  trigger an infrastructure update. If the AMI ID is specified in the launch
-  template, it can not be replaced by specifying an AMI ID in either the `imageId`
-  or `imageIdOverride` parameters. It can only be replaced by specifying a
-  different launch template, or if the launch template version is set to
-  `$Default` or `$Latest`, by setting either a new default version for the launch
-  template (if `$Default`)or by adding a new version to the launch template (if
-  `$Latest`).
-
-  If these rules are followed, any update that triggers an infrastructure update
-  will cause the AMI ID to be re-selected. If the `version` setting in the launch
+  by the `LaunchTemplate` properties. Changing any of these properties starts an
+  infrastructure update. If the AMI ID is specified in the launch template, it
+  can't be replaced by specifying an AMI ID in either the `imageId` or
+  `imageIdOverride` parameters. It can only be replaced by specifying a different
+  launch template, or if the launch template version is set to `$Default` or
+  `$Latest`, by setting either a new default version for the launch template (if
+  `$Default`) or by adding a new version to the launch template (if `$Latest`).
+
+  If these rules are followed, any update that starts an infrastructure update
+  causes the AMI ID to be re-selected. If the `version` setting in the launch
   template (`launchTemplate`) is set to `$Latest` or `$Default`, the latest or
-  default version of the launch template will be evaluated up at the time of the
-  infrastructure update, even if the `launchTemplate` was not updated.
+  default version of the launch template is evaluated up at the time of the
+  infrastructure update, even if the `launchTemplate` wasn't updated.
   """
   def create_compute_environment(%Client{} = client, input, options \\ []) do
     url_path = "/v1/createcomputeenvironment"
@@ -525,7 +523,7 @@ defmodule AWS.Batch do
 
   Batch resources that support tags are compute environments, jobs, job
   definitions, job queues, and scheduling policies. ARNs for child jobs of array
-  and multi-node parallel (MNP) jobs are not supported.
+  and multi-node parallel (MNP) jobs aren't supported.
   """
   def list_tags_for_resource(%Client{} = client, resource_arn, options \\ []) do
     url_path = "/v1/tags/#{AWS.Util.encode_uri(resource_arn)}"
@@ -605,7 +603,7 @@ defmodule AWS.Batch do
   aren't changed. When a resource is deleted, the tags that are associated with
   that resource are deleted as well. Batch resources that support tags are compute
   environments, jobs, job definitions, job queues, and scheduling policies. ARNs
-  for child jobs of array and multi-node parallel (MNP) jobs are not supported.
+  for child jobs of array and multi-node parallel (MNP) jobs aren't supported.
   """
   def tag_resource(%Client{} = client, resource_arn, input, options \\ []) do
     url_path = "/v1/tags/#{AWS.Util.encode_uri(resource_arn)}"

lib/aws/generated/data_sync.ex

@@ -6,11 +6,15 @@ defmodule AWS.DataSync do
   DataSync
 
   DataSync is a managed data transfer service that makes it simpler for you to
-  automate moving data between on-premises storage and Amazon Simple Storage
-  Service (Amazon S3) or Amazon Elastic File System (Amazon EFS).
+  automate moving data between on-premises storage and Amazon Web Services storage
+  services.
 
-  This API interface reference for DataSync contains documentation for a
-  programming interface that you can use to manage DataSync.
+  You also can use DataSync to transfer data between other cloud providers and
+  Amazon Web Services storage services.
+
+  This API interface reference includes documentation for using DataSync
+  programmatically. For complete information, see the * [DataSync User Guide](https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html)
+  *.
   """
 
   alias AWS.Client
@@ -33,16 +37,17 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Cancels execution of a task.
+  Stops an DataSync task execution that's in progress.
+
+  The transfer of some files are abruptly interrupted. File contents that're
+  transferred to the destination might be incomplete or inconsistent with the
+  source files.
 
-  When you cancel a task execution, the transfer of some files is abruptly
-  interrupted. The contents of files that are transferred to the destination might
-  be incomplete or inconsistent with the source files. However, if you start a new
-  task execution on the same task and you allow the task execution to complete,
-  file content on the destination is complete and consistent. This applies to
-  other unexpected failures that interrupt a task execution. In all of these
-  cases, DataSync successfully complete the transfer when you start the next task
-  execution.
+  However, if you start a new task execution using the same task and allow it to
+  finish, file content on the destination will be complete and consistent. This
+  applies to other unexpected failures that interrupt a task execution. In all of
+  these cases, DataSync successfully completes the transfer when you start the
+  next task execution.
   """
   def cancel_task_execution(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -51,7 +56,7 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Activates an DataSync agent that you have deployed on your host.
+  Activates an DataSync agent that you have deployed in your storage environment.
 
   The activation process associates your agent with your account. In the
   activation process, you specify information such as the Amazon Web Services
@@ -111,7 +116,13 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Creates an endpoint for an Amazon FSx for OpenZFS file system.
+  Creates an endpoint for an Amazon FSx for OpenZFS file system that DataSync can
+  access for a transfer.
+
+  For more information, see [Creating a location for FSx for OpenZFS](https://docs.aws.amazon.com/datasync/latest/userguide/create-openzfs-location.html).
+
+  Request parameters related to `SMB` aren't supported with the
+  `CreateLocationFsxOpenZfs` operation.
   """
   def create_location_fsx_open_zfs(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -160,7 +171,8 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Creates an endpoint for an Amazon S3 bucket.
+  Creates an endpoint for an Amazon S3 bucket that DataSync can access for a
+  transfer.
 
   For more information, see [Create an Amazon S3 location](https://docs.aws.amazon.com/datasync/latest/userguide/create-locations-cli.html#create-location-s3-cli)
   in the *DataSync User Guide*.
@@ -259,8 +271,8 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Returns metadata about an Amazon FSx for Lustre location, such as information
-  about its path.
+  Provides details about how an DataSync location for an Amazon FSx for Lustre
+  file system is configured.
   """
   def describe_location_fsx_lustre(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -271,6 +283,9 @@ defmodule AWS.DataSync do
   @doc """
   Provides details about how an DataSync location for an Amazon FSx for NetApp
   ONTAP file system is configured.
+
+  If your location uses SMB, the `DescribeLocationFsxOntap` operation doesn't
+  actually return a `Password`.
   """
   def describe_location_fsx_ontap(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -279,8 +294,11 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Returns metadata about an Amazon FSx for OpenZFS location, such as information
-  about its path.
+  Provides details about how an DataSync location for an Amazon FSx for OpenZFS
+  file system is configured.
+
+  Response elements related to `SMB` aren't supported with the
+  `DescribeLocationFsxOpenZfs` operation.
   """
   def describe_location_fsx_open_zfs(%Client{} = client, input, options \\ []) do
     meta = metadata()
@@ -491,8 +509,8 @@ defmodule AWS.DataSync do
   end
 
   @doc """
-  Updates some of the parameters of a previously created location for self-managed
-  object storage server access.
+  Updates some parameters of an existing object storage location that DataSync
+  accesses for a transfer.
 
   For information about creating a self-managed object storage location, see
   [Creating a location for object storage](https://docs.aws.amazon.com/datasync/latest/userguide/create-object-location.html).

lib/aws/generated/sage_maker.ex

@@ -2472,6 +2472,18 @@ defmodule AWS.SageMaker do
     Request.request_post(client, meta, "ListImages", input, options)
   end
 
+  @doc """
+  Returns a list of the subtasks for an Inference Recommender job.
+
+  The supported subtasks are benchmarks, which evaluate the performance of your
+  model on different instance types.
+  """
+  def list_inference_recommendations_job_steps(%Client{} = client, input, options \\ []) do
+    meta = metadata()
+
+    Request.request_post(client, meta, "ListInferenceRecommendationsJobSteps", input, options)
+  end
+
   @doc """
   Lists recommendation jobs that satisfy various filters.
   """