Merge pull request #248192 from WilliamDAssafMSFT/20230814-broken-links

v-dirichards · web-flow · commit bea11da2bc15 · 2023-08-14T14:49:56.000-05:00
[SCOPED] 20230814 broken links fix
diff --git a/articles/cognitive-services/Bing-Web-Search/quickstarts/csharp.md b/articles/cognitive-services/Bing-Web-Search/quickstarts/csharp.md
@@ -274,7 +274,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
           },
           {
             "name": "Computer Vision API",
-            "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",
+            "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",
             "snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."
           },
           {
diff --git a/articles/cognitive-services/Bing-Web-Search/quickstarts/java.md b/articles/cognitive-services/Bing-Web-Search/quickstarts/java.md
@@ -228,7 +228,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
           },
           {
             "name": "Computer Vision API",
-            "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",
+            "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",
             "snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."
           },
           {
diff --git a/articles/cognitive-services/Bing-Web-Search/quickstarts/nodejs.md b/articles/cognitive-services/Bing-Web-Search/quickstarts/nodejs.md
@@ -178,7 +178,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
           },
           {
             "name": "Computer Vision API",
-            "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",
+            "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",
             "snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."
           },
           {
diff --git a/articles/cognitive-services/Bing-Web-Search/quickstarts/php.md b/articles/cognitive-services/Bing-Web-Search/quickstarts/php.md
@@ -190,7 +190,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
           },
           {
             "name": "Computer Vision API",
-            "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",
+            "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",
             "snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."
           },
           {
diff --git a/articles/cognitive-services/Bing-Web-Search/quickstarts/ruby.md b/articles/cognitive-services/Bing-Web-Search/quickstarts/ruby.md
@@ -175,7 +175,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons
           },
           {
             "name": "Computer Vision API",
-            "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",
+            "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",
             "snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."
           },
           {
diff --git a/articles/kinect-dk/about-azure-kinect-dk.md b/articles/kinect-dk/about-azure-kinect-dk.md
@@ -87,7 +87,7 @@ For additional details and information, visit [Speech Service documentation](../
 
 ## Vision services
 
-The following [Azure Cognitive Vision Services](https://azure.microsoft.com/services/cognitive-services/directory/vision/) provide Azure services that can identify and analyze content within images and videos.
+The following [Azure Cognitive Vision Services](https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab) provide Azure services that can identify and analyze content within images and videos.
 
 - [Computer vision](https://azure.microsoft.com/resources/cloud-computing-dictionary/what-is-computer-vision/)
 - [Face](https://azure.microsoft.com/resources/cloud-computing-dictionary/what-is-face-recognition/)
diff --git a/articles/postgresql/single-server/how-to-data-encryption-cli.md b/articles/postgresql/single-server/how-to-data-encryption-cli.md
@@ -95,18 +95,18 @@ After Azure Database for PostgreSQL Single server is encrypted with a customer's
 
 ### Once the server is restored, revalidate data encryption the restored server
 
-*	Assign identity for the replica server
+*    Assign identity for the replica server
 ```azurecli-interactive
 az postgres server update --name  <server name>  -g <resource_group> --assign-identity
 ```
 
-*	Get the existing key that has to be used for the restored/replica server
+*    Get the existing key that has to be used for the restored/replica server
 
 ```azurecli-interactive
 az postgres server key list --name  '<server_name>'  -g '<resource_group_name>'
 ```
 
-*	Set the policy for the new identity for the restored/replica server
+*    Set the policy for the new identity for the restored/replica server
 
 ```azurecli-interactive
 az keyvault set-policy --name <keyvault> -g <resource_group> --key-permissions get unwrapKey wrapKey --object-id <principl id of the server returned by the step 1>
diff --git a/articles/synapse-analytics/machine-learning/synapse-machine-learning-library.md b/articles/synapse-analytics/machine-learning/synapse-machine-learning-library.md
@@ -28,9 +28,9 @@ A unified API standardizes many tools, frameworks, algorithms and streamlines th
 
 ### Use pre-built intelligent models
 
-Many tools in SynapseML don't require a large labeled training dataset. Instead, SynapseML provides simple APIs for pre-built intelligent services, such as Azure AI services, to quickly solve large-scale AI challenges related to both business and research. SynapseML enables developers to embed over 50 different state-of-the-art ML services directly into their systems and databases. These ready-to-use algorithms can parse a wide variety of documents, transcribe multi-speaker conversations in real time, and translate text to over 100 different languages.
+Many tools in SynapseML don't require a large labeled training dataset. Instead, SynapseML provides simple APIs for pre-built intelligent services, such as Azure AI services, to quickly solve large-scale AI challenges related to both business and research. SynapseML enables developers to embed over 50 different state-of-the-art ML services directly into their systems and databases. These ready-to-use algorithms can parse a wide variety of documents, transcribe multi-speaker conversations in real time, and translate text to over 100 different languages. For more examples of how to use pre-built AI to solve tasks quickly, see [the SynapseML "cognitive" examples](https://microsoft.github.io/SynapseML/docs/Get%20Started/Set%20up%20Cognitive%20Services/).
 
-To make SynapseML's integration with Azure AI services fast and efficient SynapseML introduces many optimizations for service-oriented workflows. In particular, SynapseML automatically parses common throttling responses to ensure that jobs don’t overwhelm backend services. Additionally, it uses exponential back-offs to handle unreliable network connections and failed responses. Finally, Spark’s worker machines stay busy with new asynchronous parallelism primitives for Spark. Asynchronous parallelism allows worker machines to send requests while waiting on a response from the server and can yield a tenfold increase in throughput.
+To make SynapseML's integration with Azure AI services fast and efficient SynapseML introduces many optimizations for service-oriented workflows. In particular, SynapseML automatically parses common throttling responses to ensure that jobs don't overwhelm backend services. Additionally, it uses exponential back-offs to handle unreliable network connections and failed responses. Finally, Spark's worker machines stay busy with new asynchronous parallelism primitives for Spark. Asynchronous parallelism allows worker machines to send requests while waiting on a response from the server and can yield a tenfold increase in throughput.
 
 ### Broad ecosystem compatibility with ONNX
 
@@ -40,7 +40,7 @@ Bringing ONNX to Spark not only helps developers scale deep learning models, it
 
 ### Build responsible AI systems
 
-After building a model, it’s imperative that researchers and engineers understand its limitations and behavior before deployment. SynapseML helps developers and researchers build responsible AI systems by introducing new tools that reveal why models make certain predictions and how to improve the training dataset to eliminate biases. SynapseML dramatically speeds the process of understanding a user’s trained model by enabling developers to distribute computation across hundreds of machines. More specifically, SynapseML includes distributed implementations of Shapley Additive Explanations (SHAP) and Locally Interpretable Model-Agnostic Explanations (LIME) to explain the predictions of vision, text, and tabular models. It also includes tools such as Individual Conditional Expectation (ICE) and partial dependence analysis to recognized biased datasets.
+After building a model, it's imperative that researchers and engineers understand its limitations and behavior before deployment. SynapseML helps developers and researchers build responsible AI systems by introducing new tools that reveal why models make certain predictions and how to improve the training dataset to eliminate biases. SynapseML dramatically speeds the process of understanding a user's trained model by enabling developers to distribute computation across hundreds of machines. More specifically, SynapseML includes distributed implementations of Shapley Additive Explanations (SHAP) and Locally Interpretable Model-Agnostic Explanations (LIME) to explain the predictions of vision, text, and tabular models. It also includes tools such as Individual Conditional Expectation (ICE) and partial dependence analysis to recognized biased datasets.
 
 ## Enterprise support on Azure Synapse Analytics
 
diff --git a/articles/synapse-analytics/partner/business-intelligence.md b/articles/synapse-analytics/partner/business-intelligence.md
@@ -26,8 +26,8 @@ To create your data warehouse solution, you can choose from different kinds of i
 | :::image type="content" source="./media/business-intelligence/dundas_software_logo.png" alt-text="The logo of Dundas."::: |**Dundas BI**<br>Dundas Data Visualization is a leading, global provider of Business Intelligence and Data Visualization software.  Dundas dashboards, reporting, and visual data analytics provide seamless integration into business applications, enabling better decisions and faster insights.|[Dundas](https://www.dundas.com/dundas-bi)<br> |
 | :::image type="content" source="./media/business-intelligence/cognos_analytics_logo.png" alt-text="The logo of IBM Cognos."::: |**IBM Cognos Analytics**<br>Cognos Analytics includes self-service capabilities that make it simple, clear, and easy to use, whether you're an experienced business analyst examining a vast supply chain, or a marketer optimizing a campaign. Cognos Analytics uses AI and other capabilities to guide data exploration. It makes it easier for users to get the answers they need|[IBM](https://www.ibm.com/products/cognos-analytics)<br>|
 | :::image type="content" source="./media/business-intelligence/informationbuilders_logo.png" alt-text="The logo of Information Builders."::: |**Information Builders (WebFOCUS)**<br>WebFOCUS business intelligence helps companies use data more strategically across and beyond the enterprise. It allows users and administrators to rapidly create dashboards that combine content from multiple data sources and formats. It also provides robust security and comprehensive governance that enables seamless and secure sharing of any BI and analytics content|[Information Builders](https://www.ibi.com/)<br> |
-| :::image type="content" source="./media/business-intelligence/logianalytics_logo.png" alt-text="The logo of LogiAnalytics."::: |**Logi Analytics**<br>Together, Logi Analytics enables your organization to collect, analyze, and immediately act on the largest and most diverse data sets in the world. |[Logi Analytics](https://www.logianalytics.com/)<br>|
-| :::image type="content" source="./media/business-intelligence/logianalytics_logo.png" alt-text="The logo of LogiAnalytics."::: |**Logi Report**<br>Logi Report is an embeddable BI solution for the enterprise. The solution offers capabilities such as report creation, dashboards, and data analysis on cloud, big data, and transactional data sources. By visualizing data, you can conduct your own reporting and data discovery for agile, on-the-fly decision making. |[Logi Report](https://www.logianalytics.com/jreport/)<br> |
+| :::image type="content" source="./media/business-intelligence/logianalytics_logo.png" alt-text="The logo of LogiAnalytics."::: |**Logi Analytics**<br>Together, Logi Analytics enables your organization to collect, analyze, and immediately act on the largest and most diverse data sets in the world. |[Logi Analytics](https://insightsoftware.com/logi-analytics/)<br>|
+| :::image type="content" source="./media/business-intelligence/logianalytics_logo.png" alt-text="The logo of LogiAnalytics."::: |**Logi Report**<br>Logi Report is an embeddable BI solution for the enterprise. The solution offers capabilities such as report creation, dashboards, and data analysis on cloud, big data, and transactional data sources. By visualizing data, you can conduct your own reporting and data discovery for agile, on-the-fly decision making. |[Logi Report](https://insightsoftware.com/logi-analytics/logi-report/)<br> |
 | :::image type="content" source="./media/business-intelligence/looker_logo.png" alt-text="The logo of Looker."::: |**Looker for Business Intelligence**<br>Looker gives everyone in your company the ability to explore and understand the data that drives your business. Looker also gives the data analyst a flexible and reusable modeling layer to control and curate that data.  Companies have fundamentally transformed their culture using Looker as the catalyst.|[Looker for BI](https://looker.com/)<br> [Looker Analytics Platform Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/aad.lookeranalyticsplatform)<br> |
 | :::image type="content" source="./media/business-intelligence/microstrategy_logo.png" alt-text="The logo of Microstrategy."::: |**MicroStrategy**<br>The MicroStrategy platform offers a complete set of business intelligence and analytics capabilities that enable organizations to get value from their business data. MicroStrategy's powerful analytical engine, comprehensive toolsets, variety of data connectors, and open architecture ensures you have everything you need to extend access to analytics across every team.|[MicroStrategy](https://www.microstrategy.com/en/business-intelligence)<br> [MicroStrategy Cloud in the Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/microstrategy.microstrategy_cloud)<br> |
 | :::image type="content" source="./media/business-intelligence/mode-logo.png" alt-text="The logo of Mode Analytics."::: |**Mode**<br>Mode is a modern analytics and BI solution that helps teams make decisions through unreasonably fast and unexpectedly delightful data analysis. Data teams move faster through a preferred workflow that combines SQL, Python, R, and visual analysis, while stakeholders work alongside them exploring and sharing data on their own. With data more accessible to everyone, we shorten the distance from questions to answers and help businesses make better decisions, faster.|[Mode](https://mode.com/)<br> |
diff --git a/articles/synapse-analytics/spark/apache-spark-delta-lake-overview.md b/articles/synapse-analytics/spark/apache-spark-delta-lake-overview.md
@@ -990,5 +990,5 @@ For more information, see [Delta Lake Project](https://github.com/delta-io/delta
 
 ## Next steps
 
-* [.NET for Apache Spark documentation](/dotnet/spark)
+* [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 * [Azure Synapse Analytics](../index.yml)
diff --git a/articles/synapse-analytics/spark/apache-spark-development-using-notebooks.md b/articles/synapse-analytics/spark/apache-spark-development-using-notebooks.md
@@ -737,5 +737,5 @@ Using the following keystroke shortcuts, you can more easily navigate and run co
 - [Quickstart: Create an Apache Spark pool in Azure Synapse Analytics using web tools](../quickstart-apache-spark-notebook.md)
 - [What is Apache Spark in Azure Synapse Analytics](apache-spark-overview.md)
 - [Use .NET for Apache Spark with Azure Synapse Analytics](spark-dotnet.md)
-- [.NET for Apache Spark documentation](/dotnet/spark)
+- [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 - [Azure Synapse Analytics](../index.yml)
diff --git a/articles/synapse-analytics/spark/apache-spark-history-server.md b/articles/synapse-analytics/spark/apache-spark-history-server.md
@@ -209,5 +209,5 @@ Input/output data using Resilient Distributed Datasets (RDDs) doesn't show in th
 ## Next steps
 
 - [Azure Synapse Analytics](../overview-what-is.md)
-- [.NET for Apache Spark documentation](/dotnet/spark)
+- [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 
diff --git a/articles/synapse-analytics/spark/apache-spark-machine-learning-mllib-notebook.md b/articles/synapse-analytics/spark/apache-spark-machine-learning-mllib-notebook.md
@@ -249,7 +249,7 @@ After you finish running the application, shut down the notebook to release the
 
 ## Next steps
 
-- [.NET for Apache Spark documentation](/dotnet/spark)
+- [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 - [Azure Synapse Analytics](../index.yml)
 - [Apache Spark official documentation](https://spark.apache.org/docs/2.4.5/)
 
diff --git a/articles/synapse-analytics/spark/apache-spark-what-is-delta-lake.md b/articles/synapse-analytics/spark/apache-spark-what-is-delta-lake.md
@@ -38,5 +38,5 @@ For more information, see [Delta Lake Project](https://github.com/delta-io/delta
 
 ## Next steps
 
-- [.NET for Apache Spark documentation](/dotnet/spark)
+- [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 - [Azure Synapse Analytics](../index.yml)
diff --git a/articles/synapse-analytics/spark/spark-dotnet.md b/articles/synapse-analytics/spark/spark-dotnet.md
@@ -21,7 +21,7 @@ It provides .NET bindings for Spark, which allows you to access Spark APIs throu
 You can analyze data with .NET for Apache Spark through Spark batch job definitions or with interactive Azure Synapse Analytics notebooks. In this article, you learn how to use .NET for Apache Spark with Azure Synapse using both techniques.
 
 >[!IMPORTANT]
-> The [.NET for Apache Spark](https://github.com/dotnet/spark) is an open-source project under the .NET Foundation that currently requires the .NET 3.1 library, which has reached the out-of-support status. We would like to inform users of Azure Synapse Spark of the removal of the .NET for Apache Spark library in the Azure Synapse Runtime for Apache Spark version 3.3. Users may refer to the [.NET Support Policy](https://dotnet.microsoft.com/platform/support/policy/dotnet-core) for more details on this matter.
+> The [.NET for Apache Spark](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet) is an open-source project under the .NET Foundation that currently requires the .NET 3.1 library, which has reached the out-of-support status. We would like to inform users of Azure Synapse Spark of the removal of the .NET for Apache Spark library in the Azure Synapse Runtime for Apache Spark version 3.3. Users may refer to the [.NET Support Policy](https://dotnet.microsoft.com/platform/support/policy/dotnet-core) for more details on this matter.
 >
 > As a result, it will no longer be possible for users to utilize Apache Spark APIs via C# and F#, or execute C# code in notebooks within Synapse or through Apache Spark Job definitions in Synapse. It is important to note that this change affects only Azure Synapse Runtime for Apache Spark 3.3 and above. 
 > 
@@ -121,7 +121,7 @@ Dotnet Spark 1.0.0 uses a different debug architecture than 1.1.1+. You will hav
 
 ## Next steps
 
-* [.NET for Apache Spark documentation](/dotnet/spark/)
+* [.NET for Apache Spark documentation](/previous-versions/dotnet/spark/what-is-apache-spark-dotnet)
 * [.NET for Apache Spark Interactive guides](/dotnet/spark/how-to-guides/dotnet-interactive-udf-issue)
 * [Azure Synapse Analytics](https://azure.microsoft.com/services/synapse-analytics/)
 * [.NET Interactive](https://devblogs.microsoft.com/dotnet/creating-interactive-net-documentation/)
diff --git a/articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-manage-compute-rest-api.md b/articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-manage-compute-rest-api.md
@@ -21,7 +21,7 @@ REST APIs for managing compute for dedicated SQL pool (formerly SQL DW) in Azure
 
 ## Scale compute
 
-To change the data warehouse units, use the Create or Update Database REST API. The following example sets the data warehouse units to DW1000 for the database MySQLDW, which is hosted on server MyServer. The server is in an Azure resource group named ResourceGroup1.
+To change the data warehouse units, use the [Create or Update Database](/rest/api/sql/2022-08-01-preview/databases/create-or-update) REST API. The following example sets the data warehouse units to DW1000 for the database `MySQLDW`, which is hosted on server MyServer. The server is in an Azure resource group named ResourceGroup1.
 
 ```
 PUT https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/{resource-group-name}/providers/Microsoft.Sql/servers/{server-name}/databases/{database-name}?api-version=2020-08-01-preview HTTP/1.1
diff --git a/articles/synapse-analytics/sql-data-warehouse/what-is-a-data-warehouse-unit-dwu-cdwu.md b/articles/synapse-analytics/sql-data-warehouse/what-is-a-data-warehouse-unit-dwu-cdwu.md
diff --git a/articles/synapse-analytics/whats-new.md b/articles/synapse-analytics/whats-new.md

Original file line number	Diff line number	Diff line change
`@@ -274,7 +274,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons`
`274`	`274`	`},`
`275`	`275`	`{`
`276`	`276`	`"name": "Computer Vision API",`
`277`		`- "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",`
	`277`	`+ "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",`
`278`	`278`	`"snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."`
`279`	`279`	`},`
`280`	`280`	`{`
Original file line number	Diff line number	Diff line change
`@@ -228,7 +228,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons`
`228`	`228`	`},`
`229`	`229`	`{`
`230`	`230`	`"name": "Computer Vision API",`
`231`		`- "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",`
	`231`	`+ "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",`
`232`	`232`	`"snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."`
`233`	`233`	`},`
`234`	`234`	`{`
Original file line number	Diff line number	Diff line change
`@@ -178,7 +178,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons`
`178`	`178`	`},`
`179`	`179`	`{`
`180`	`180`	`"name": "Computer Vision API",`
`181`		`- "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",`
	`181`	`+ "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",`
`182`	`182`	`"snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."`
`183`	`183`	`},`
`184`	`184`	`{`
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`@@ -190,7 +190,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons`
`190`	`190`	`},`
`191`	`191`	`{`
`192`	`192`	`"name": "Computer Vision API",`
`193`		`- "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",`
	`193`	`+ "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",`
`194`	`194`	`"snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."`
`195`	`195`	`},`
`196`	`196`	`{`
Original file line number	Diff line number	Diff line change
`@@ -175,7 +175,7 @@ Responses from the Bing Web Search API are returned as JSON. This sample respons`
`175`	`175`	`},`
`176`	`176`	`{`
`177`	`177`	`"name": "Computer Vision API",`
`178`		`- "url": "https://azure.microsoft.com/services/cognitive-services/computer-vision/",`
	`178`	`+ "url": "https://azure.microsoft.com/products/ai-services?activetab=pivot:visiontab",`
`179`	`179`	`"snippet": "Extract the data you need from images using optical character recognition and image analytics with Computer Vision APIs from Microsoft Azure."`
`180`	`180`	`},`
`181`	`181`	`{`