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…r-20240612-155851-7434253-ignore-build [BULK] - DocuTune v1.4.1 - Standardize usage of abbreviations
MicrosoftDocs · Jun 12, 2024 · 0bf799e · 0bf799e
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diff --git a/docs/ai-ml/architecture/batch-scoring-databricks-content.md b/docs/ai-ml/architecture/batch-scoring-databricks-content.md
@@ -61,7 +61,7 @@ Databricks is set up so you can load and deploy your trained models to make pred
 - Unlimited clusters that can scale to any size.
 - Advanced security, role-based access controls, and audit logs.
 
-To interact with the Azure Databricks service, use the Databricks [Workspace][workspace] interface in a web browser or the [command-line interface][cli] (CLI). Access the Databricks CLI from any platform that supports Python 2.7.9 to 3.6.
+To interact with the Azure Databricks service, use the Databricks [Workspace][workspace] interface in a web browser or the [command-line interface (CLI)][cli]. Access the Databricks CLI from any platform that supports Python 2.7.9 to 3.6.
 
 The reference implementation uses [notebooks][notebooks] to execute tasks in sequence. Each notebook stores intermediate data artifacts (training, test, scoring, or results data sets) to the same data store as the input data. The goal is to make it easy for you to use it as needed in your particular use case. In practice, you would connect your data source to your Azure Databricks instance for the notebooks to read and write directly back into your storage.
 

diff --git a/docs/ai-ml/architecture/real-time-recommendation-content.md b/docs/ai-ml/architecture/real-time-recommendation-content.md
@@ -61,7 +61,7 @@ Azure Cosmos DB is recommended for its turnkey global distribution and usefulnes
 
 ### Scalability
 
-If you don't plan to use Spark, or you have a smaller workload that doesn't need distribution, consider using a [Data Science Virtual Machine][dsvm] (DSVM) instead of Azure Databricks. A DSVM is an Azure virtual machine with deep learning frameworks and tools for machine learning and data science. As with Azure Databricks, any model you create in a DSVM can be operationalized as a service on AKS via Machine Learning.
+If you don't plan to use Spark, or you have a smaller workload that doesn't need distribution, consider using a [Data Science Virtual Machine (DSVM)][dsvm] instead of Azure Databricks. A DSVM is an Azure virtual machine with deep learning frameworks and tools for machine learning and data science. As with Azure Databricks, any model you create in a DSVM can be operationalized as a service on AKS via Machine Learning.
 
 During training, either provision a larger fixed-size Spark cluster in Azure Databricks, or configure [autoscaling][autoscaling]. When autoscaling is enabled, Databricks monitors the load on your cluster and scales up and down as needed. Provision or scale out a larger cluster if you have a large data size and you want to reduce the amount of time it takes for data preparation or modeling tasks.
 

diff --git a/docs/ai-ml/guide/mlops-technical-paper-content.md b/docs/ai-ml/guide/mlops-technical-paper-content.md
@@ -447,7 +447,7 @@ Here you'll find a list of considerations to explore. They're based on the lesso
 
 ### Model serving considerations
 
-- The Azure Machine Learning SDK provides an option to deploy directly to Azure Kubernetes Service from a registered model, creating limits on what security/metrics are in place. You can try to find an easier solution for clients to test their model, but it's best to develop a more robust deployment to AKS for production workloads.
+- The Azure Machine Learning SDK provides an option to deploy directly to Azure Kubernetes Service (AKS) from a registered model, creating limits on what security/metrics are in place. You can try to find an easier solution for clients to test their model, but it's best to develop a more robust deployment to AKS for production workloads.
 
 ## Next steps
 

diff --git a/docs/example-scenario/apps/fully-managed-secure-apps-content.md b/docs/example-scenario/apps/fully-managed-secure-apps-content.md
@@ -33,7 +33,7 @@ Consider this scenario for the following use cases:
 - This workload uses the [isolated App Service pricing tier][isolated-tier-pricing-and-ase-pricing], so the application runs in a private dedicated environment in an Azure datacenter using faster processors, solid-state drive (SSD) storage, and double the memory-to-core ratio compared to Standard.
 - Azure App Services [Web App][docs-webapps] and [API App][docs-apiapps] host web applications and RESTful APIs. These apps and APIs are hosted on the Isolated service plan, which also offers autoscaling, custom domains, and so on, but in a dedicated tier.
 - Azure [Application Gateway][docs-appgw] is a web traffic load balancer operating at Layer 7 that manages traffic to the web application. It offers SSL offloading, which removes extra overhead from the web servers hosting the web app to decrypt traffic again.
-- [Web Application Firewall][docs-waf] (WAF) is a feature of Application Gateway. Enabling the WAF in the Application Gateway further enhances security. The WAF uses Open Worldwide Application Security Project (OWASP) rules to protect the web application against attacks such as cross-site scripting, session hijacks, and SQL injection.
+- [Web Application Firewall (WAF)][docs-waf] is a feature of Application Gateway. Enabling the WAF in the Application Gateway further enhances security. The WAF uses Open Worldwide Application Security Project (OWASP) rules to protect the web application against attacks such as cross-site scripting, session hijacks, and SQL injection.
 - [Azure SQL Database][docs-sql-database] was selected because most of the data in this application is relational data, with some data as documents and Blobs.
 - [Azure Networking][azure-networking] provides various networking capabilities in Azure, and the networks can be peered with other virtual networks in Azure. Connections can also be established with on-premises datacenters via ExpressRoute or site-to-site. In this case, a [service endpoint][sql-service-endpoint] is enabled on the virtual network to ensure the data is flowing only between the Azure virtual network and the SQL Database instance.
 - [Azure DevOps][docs-azure-devops] is used to help teams collaborate during sprints, using features that support Agile Development, and to create build and release pipelines.
@@ -44,7 +44,7 @@ Consider this scenario for the following use cases:
 An App Service Environment can run regular web apps on Windows or, as in this example, web apps deployed inside the environment that are each running as Linux containers. An App Service Environment was selected to host these single-instance containerized applications. There are alternatives available&mdash;review the considerations below when designing your solution.
 
 - [Azure Service Fabric][docs-service-fabric]: If your environment is mostly Windows-based, and your workloads are primarily .NET Framework-based, and you aren't considering rearchitecting to .NET Core, then use Service Fabric to support and deploy Windows Server Containers. Additionally, Service Fabric supports C# or Java programming APIs, and for developing native microservices, the clusters can be provisioned on Windows or Linux.
-- [Azure Kubernetes Service][docs-kubernetes-service] (AKS) is an open-source project and an orchestration platform more suited to hosting complex multicontainer applications that typically use a microservices-based architecture. AKS is a managed Azure service that abstracts away the complexities of provisioning and configuring a Kubernetes cluster. However, significant knowledge of the Kubernetes platform is required to support and maintain it, so hosting a handful of single-instance containerized web applications might not be the best option.
+- [Azure Kubernetes Service (AKS)][docs-kubernetes-service] is an open-source project and an orchestration platform more suited to hosting complex multicontainer applications that typically use a microservices-based architecture. AKS is a managed Azure service that abstracts away the complexities of provisioning and configuring a Kubernetes cluster. However, significant knowledge of the Kubernetes platform is required to support and maintain it, so hosting a handful of single-instance containerized web applications might not be the best option.
 
 Other options for the data tier include:
 

diff --git a/docs/example-scenario/data/open-source-data-engine-stream-processing-content.md b/docs/example-scenario/data/open-source-data-engine-stream-processing-content.md
@@ -43,7 +43,7 @@ Download a [Visio file][Visio version of architecture diagram] of this architect
 
   Through the [Azure Cosmos DB for Apache Cassandra][Introduction to Azure Cosmos DB for Apache Cassandra], you can access Azure Cosmos DB data by using Apache Cassandra tools, languages, and drivers. Apache Cassandra is an open-source NoSQL database that's well suited for heavy write-intensive workloads.
 
-- [AKS][Azure Kubernetes Service (AKS) marketing page] is a highly available, secure, and fully managed Kubernetes service. [Kubernetes][Kubernetes] is a rapidly evolving open-source platform for managing containerized workloads. [AKS][Azure Kubernetes Service] hosts open-source big data processing engines such as [Apache Spark][Apache Spark]. By using AKS, you can run large-scale stream processing jobs in a managed environment.
+- [Azure Kubernetes Service (AKS)][Azure Kubernetes Service (AKS) marketing page] is a highly available, secure, and fully managed Kubernetes service. [Kubernetes][Kubernetes] is a rapidly evolving open-source platform for managing containerized workloads. [AKS][Azure Kubernetes Service] hosts open-source big data processing engines such as [Apache Spark][Apache Spark]. By using AKS, you can run large-scale stream processing jobs in a managed environment.
 
 - [Azure Database for PostgreSQL][Azure Database for PostgreSQL marketing page] is a fully managed relational database service. It provides [high availability, elastic scaling, patching, and other management capabilities][What is Azure Database for PostgreSQL?] for PostgreSQL. [PostgreSQL][PostgreSQL] is a widely adopted open-source relational database management system.
 
@@ -59,7 +59,7 @@ Fully managed Azure data services that run open-source engines make up this stre
 
 - Azure Event Hubs offers a [Kafka][Apache Kafka] implementation for stream ingestion.
 - Azure Cosmos DB supports event storage in [Cassandra][Apache Cassandra].
-- Azure Kubernetes Service (AKS) hosts [Kubernetes][Kubernetes] microservices for stream processing.
+- AKS hosts [Kubernetes][Kubernetes] microservices for stream processing.
 - Azure Database for PostgreSQL manages relational data storage in [PostgreSQL][PostgreSQL].
 - Azure Cache for Redis manages [Redis][Redis] in-memory data stores.
 

diff --git a/docs/example-scenario/hybrid/aks-baseline-content.md b/docs/example-scenario/hybrid/aks-baseline-content.md
@@ -13,7 +13,7 @@ The following image shows the baseline architecture for Azure Kubernetes Service
 The architecture consists of the following components and capabilities:
 
 - [Azure Stack HCI (20H2)][]. A hyperconverged infrastructure (HCI) cluster solution that hosts virtualized Windows and Linux workloads and their storage in a hybrid on-premises environment. An Azure Stack HCI cluster is implemented as a 2-8 node cluster.
-- [Azure Kubernetes Service on Azure Stack HCI (AKS hybrid)][]. An on-premises implementation of AKS, which automates running containerized applications at scale.
+- [Azure Kubernetes Service (AKS) on Azure Stack HCI (AKS hybrid)][]. An on-premises implementation of AKS, which automates running containerized applications at scale.
 - [Azure Arc][]. A cloud-based service that extends the Azure Resource Manager–based management model to non-Azure resources including non-Azure virtual machines (VMs), Kubernetes clusters, and containerized databases.
 - [Azure Policy](/azure/governance/policy/overview). A cloud-based service that helps enforce organizational standards and assess compliance at-scale by evaluating Azure (including Arc-enabled) resources to the properties of those resources to business rules. These standards also include [Azure Policy for Kubernetes][], which applies policies to the workloads running inside the cluster.
 - [Azure Monitor][]. A cloud-based service that maximizes the availability and performance of your applications and services by delivering a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.
@@ -25,11 +25,11 @@ The architecture consists of the following components and capabilities:
 ## Components
 
 - [Azure Stack HCI (20H2)][1]
-- [Azure Kubernetes Service on Azure Stack HCI (AKS hybrid)][]
+- [Azure Kubernetes Service (AKS) on Azure Stack HCI (AKS hybrid)][]
 - [Windows Admin Center][]
 - [An Azure subscription][]
 - [Azure Arc][]
-- [Azure role-based access control (Azure RBAC)][])
+- [Azure role-based access control (Azure RBAC)][]
 - [Azure Monitor][]
 - [Microsoft Defender for Cloud][]
 
@@ -201,7 +201,7 @@ Other contributors:
 
   [Azure Stack HCI (20H2)]: /azure-stack/hci/overview
   [1]: https://azure.microsoft.com/products/azure-stack/hci/
-  [Azure Kubernetes Service on Azure Stack HCI (AKS hybrid)]: /azure/aks/hybrid/aks-hybrid-options-overview
+  [Azure Kubernetes Service (AKS) on Azure Stack HCI (AKS hybrid)]: /azure/aks/hybrid/aks-hybrid-options-overview
   [Windows Admin Center]: /windows-server/manage/windows-admin-center/overview
   [An Azure subscription]: https://azure.microsoft.com
   [Azure Arc]: https://azure.microsoft.com/services/azure-arc/