Merge pull request #220010 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)

Author: huypub

articles/active-directory/cloud-sync/tutorial-basic-ad-azure.md

@@ -19,7 +19,7 @@ This tutorial walks you through creating a basic Active Directory environment.
 
 ![Diagram that shows a basic Azure A D environment.](media/tutorial-single-forest/diagram-2.png)
 
-You can use the environment you create in the tutorial to test various aspects of hybrid identity scenarios and will be a prerequisite for some of the tutorials.  If you already have an existing Active Directory environment you can use that as a substitute.  This information is provided for individuals who my be starting from nothing.
+You can use the environment you create in the tutorial to test various aspects of hybrid identity scenarios and will be a prerequisite for some of the tutorials.  If you already have an existing Active Directory environment you can use that as a substitute.  This information is provided for individuals who may be starting from nothing.
 
 This tutorial consists of
 ## Prerequisites

articles/azure-maps/tutorial-search-location.md

@@ -200,7 +200,7 @@ This section shows how to use the Maps [Search API](/rest/api/maps/search) to fi
 
    ![A screen shot showing the map resulting from the search, which is a map showing Seattle with round-blue pins at locations of gas stations.](./media/tutorial-search-location/pins-map.png)
 
-4. You can see the raw data that the map is rendering by entering the following HTTPRequest in your browser. Replace \<Your Azure Maps Key\> with your primary key.
+4. You can see the raw data that the map is rendering by entering the following HTTPRequest in your browser. Replace `<Your Azure Maps Key>` with your primary key.
 
    ```http
    https://atlas.microsoft.com/search/poi/json?api-version=1.0&query=gasoline%20station&subscription-key={Your-Azure-Maps-Subscription-key}&lat=47.6292&lon=-122.2337&radius=100000
@@ -222,7 +222,7 @@ The map that we've made so far only looks at the longitude/latitude data for the
     map.events.add('mouseover', resultLayer, showPopup);
     ```
 
-    The API `*atlas.Popup` provides an information window anchored at the required position on the map.
+    The API `atlas.Popup` provides an information window anchored at the required position on the map.
 
 2. Add the following lines of code in the map `ready` event handler after the code to create an instance of a Popup and add a mouseover event to the symbol layer. This code shows a popup window with the results when you mouse over a point of interest.
 

articles/cognitive-services/Speech-Service/how-to-use-audio-input-streams.md

@@ -24,7 +24,7 @@ The following steps are required when you use audio input streams:
 
   Audio samples are:
 
-   - PCM format
+   - PCM format (int-16)
    - One channel
    - 16 bits per sample, 8,000 or 16,000 samples per second (16,000 bytes or 32,000 bytes per second)
    - Two-block aligned (16 bit including padding for a sample)

articles/cosmos-db/nosql/query/join.md

@@ -16,7 +16,7 @@ ms.date: 11/30/2022
 
 [!INCLUDE[NoSQL](../../includes/appliesto-nosql.md)]
 
-In Azure Cosmos DB for NoSQL, data is scehma-free and typically denormalized. Instead of joining data across entities and sets, like you would in a relational database, joins occur within a single item. Specifically, joins are scoped to that item and can't occur across multiple items and containers.
+In Azure Cosmos DB for NoSQL, data is schema-free and typically denormalized. Instead of joining data across entities and sets, like you would in a relational database, joins occur within a single item. Specifically, joins are scoped to that item and can't occur across multiple items and containers.
 
 > [!TIP]
 > If you find yourself needing to join across items and containers, consider reworking your [data model](../../modeling-data.md) to avoid this.

articles/data-lake-analytics/includes/retirement-flag.md

@@ -9,4 +9,4 @@ ms.author: whhender
 > New Azure Data Lake Analytics accounts can no longer be created unless your subscription has been enabled.
 > If you need your subscription to be enabled [contact support](https://portal.azure.com/?#blade/Microsoft_Azure_Support/HelpAndSupportBlade) and provide your business scenario.
 > 
-> If you are already using Azure Data Lake Analytics, you'll need to create a migration plan for your organization by February 29th, 2024.
+> If you are already using Azure Data Lake Analytics, you'll need to create a [migration plan to Azure Synapse Analytics](../migrate-azure-data-lake-analytics-to-synapse.md) for your organization by February 29th, 2024.

articles/defender-for-cloud/concept-attack-path.md

@@ -11,11 +11,11 @@ ms.date: 11/08/2022
 
 <iframe src="https://aka.ms/docs/player?id=36a5c440-00e6-4bd8-be1f-a27fbd007119" width="1080" height="530" allowFullScreen="true" frameBorder="0"></iframe>
 
-One of the biggest challenges that security teams face today is the number of security issues they face on a daily basis. There are numerous security issues that need to be resolve and never enough resources to address them all. 
+One of the biggest challenges that security teams face today is the number of security issues they face on a daily basis. There are numerous security issues that need to be resolved and never enough resources to address them all. 
 
 Defender for Cloud's contextual security capabilities assists security teams to assess the risk behind each security issue, and identify the highest risk issues that need to be resolved soonest. Defender for Cloud assists security teams to reduce the risk of an impactful breach to their environment in the most effective way.
 
-All of these capabilities are available as part of the [Defender Cloud Security Posture Management](concept-cloud-security-posture-management.md) plan and the requiring the enablement of [agentless scanning for VMs](concept-agentless-data-collection.md)
+All of these capabilities are available as part of the [Defender Cloud Security Posture Management](concept-cloud-security-posture-management.md) plan and require the enablement of [agentless scanning for VMs](concept-agentless-data-collection.md)
 
 ## What is cloud security graph?
 
@@ -29,7 +29,7 @@ Defender for Cloud then uses the generated graph to perform an attack path analy
 
 Attack path analysis is a graph-based algorithm that scans the cloud security graph. The scans expose exploitable paths that attackers may use to breach your environment to reach your high-impact assets. Attack path analysis exposes those attack paths and suggests recommendations as to how best remediate the issues that will break the attack path and prevent successful breach. 
 
-By taking your environment's contextual information into account such as, internet exposure, permissions, lateral movement, and more. Attack path analysis identifies issues that may lead to a breach on your environment, and helps you to remediate the highest risk ones first. 
+By taking your environment's contextual information into account such as internet exposure, permissions, lateral movement, and more, attack path analysis identifies issues that may lead to a breach on your environment, and helps you to remediate the highest risk ones first. 
 
 :::image type="content" source="media/concept-cloud-map/attack-path.png" alt-text="Image that shows a sample attack path from attacker to your sensitive data.":::
 
@@ -39,7 +39,7 @@ Learn how to use [attack path analysis](how-to-manage-attack-path.md).
 
 Using the cloud security explorer, you can proactively identify security risks in your multicloud environment by running graph-based queries on the cloud security graph. Your security team can use the query builder to search for and locate risks, while taking your organization's specific contextual and conventional information into account. 
 
-Cloud security explorer provides you with the ability to perform proactive exploration features. You can search for security risks within your organization by running graph-based path-finding queries on top the contextual security data that is already provided by Defender for Cloud. Such as, cloud misconfigurations, vulnerabilities, resource context, lateral movement possibilities between resources and more.
+Cloud security explorer provides you with the ability to perform proactive exploration features. You can search for security risks within your organization by running graph-based path-finding queries on top the contextual security data that is already provided by Defender for Cloud, such as cloud misconfigurations, vulnerabilities, resource context, lateral movement possibilities between resources and more.
 
 Learn how to use the [cloud security explorer](how-to-manage-cloud-security-explorer.md), or check out the [cloud security graph components list](attack-path-reference.md#cloud-security-graph-components-list).
 

articles/event-hubs/includes/event-hubs-partition-count.md

@@ -11,6 +11,6 @@ ms.custom: "include file"
 
 ---
 
-As [partition](../event-hubs-features.md#partitions) is a data organization mechanism that allows you to publish and consume data in a parallel manner, we recommend that you balance scaling units (TUs, PUs or CUs) and partitions to achieve optimal scale. In general we recommend users to maintain a maximum throughput of 1 MB/s per partition and choose the partition count to match the maximum throughput you want to handle. For example, if your use case requires 20 MB/s, it is recommended to choose at least 20 partitions to achieve the optimal throughput.                             
-          
-However, if you have a model in which your application has an affinity to a particular partition, increasing the number of partitions may not be of any benefit to you. For more information, see [availability and consistency](../event-hubs-availability-and-consistency.md).
+As [partition](../event-hubs-features.md#partitions) is a data organization mechanism that allows you to publish and consume data in a parallel manner, we recommend that you balance scaling units (TUs, PUs or CUs) and partitions to achieve optimal scale. In general, we recommend a maximum throughput of 1 MB/s per partition. Therefore, a rule of thumb for calculating the number of partitions would be to divide the maximum expected throughput by 1 MB/s. For example, if your use case requires 20 MB/s, it is recommended to choose at least 20 partitions to achieve the optimal throughput.                             
+
+However, if you have a model in which your application has an affinity to a particular partition, increasing the number of partitions may not be beneficial. For more information, see [availability and consistency](../event-hubs-availability-and-consistency.md).

articles/machine-learning/how-to-share-models-pipelines-across-workspaces-with-registries.md

@@ -118,7 +118,7 @@ print(ml_client_registry)
 
 ## Create environment in registry
 
-Environments define the docker container and python dependencies required to run training jobs or deploy models. For more information on environments, see the following articles:
+Environments define the docker container and Python dependencies required to run training jobs or deploy models. For more information on environments, see the following articles:
 
 * [Environment concepts](./concept-environments.md)
 * [How to create environments (CLI)](./how-to-manage-environments-v2.md) articles. 

articles/private-link/private-endpoint-dns.md

@@ -138,7 +138,7 @@ For Azure services, use the recommended zone names as described in the following
 | Azure IoT Hub (Microsoft.Devices/IotHubs) / iotHub | privatelink.azure-devices.us<br/>privatelink.servicebus.windows.us<sup>1</sup> | azure-devices.us<br/>servicebus.usgovcloudapi.net |
 | Azure Relay (Microsoft.Relay/namespaces) / namespace | privatelink.servicebus.usgovcloudapi.net  | servicebus.usgovcloudapi.net  |
 | Azure Web Apps (Microsoft.Web/sites) / sites | privatelink.azurewebsites.us | azurewebsites.us |
-| Azure Monitor (Microsoft.Insights/privateLinkScopes) / azuremonitor | privatelink.adx.monitor.azure.us <br/> privatelink.	oms.opinsights.azure.us <br/> privatelink.ods.opinsights.azure.us <br/> privatelink.agentsvc.azure-automation.us <br/> privatelink.blob.core.usgovcloudapi.net | adx.monitor.azure.us <br/> oms.opinsights.azure.us<br/> ods.opinsights.azure.us<br/> agentsvc.azure-automation.us <br/> blob.core.usgovcloudapi.net |
+| Azure Monitor (Microsoft.Insights/privateLinkScopes) / azuremonitor | privatelink.monitor.azure.us <br/> privatelink.adx.monitor.azure.us <br/> privatelink.	oms.opinsights.azure.us <br/> privatelink.ods.opinsights.azure.us <br/> privatelink.agentsvc.azure-automation.us <br/> privatelink.blob.core.usgovcloudapi.net | monitor.azure.us <br/> adx.monitor.azure.us <br/> oms.opinsights.azure.us<br/> ods.opinsights.azure.us<br/> agentsvc.azure-automation.us <br/> blob.core.usgovcloudapi.net |
 | Cognitive Services (Microsoft.CognitiveServices/accounts) / account | privatelink.cognitiveservices.azure.us  | cognitiveservices.azure.us  |
 | Azure Cache for Redis (Microsoft.Cache/Redis) / redisCache | privatelink.redis.cache.usgovcloudapi.net | redis.cache.usgovcloudapi.net |
 | Azure HDInsight (Microsoft.HDInsight) | privatelink.azurehdinsight.us | azurehdinsight.us |