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Merge pull request #108148 from craigcaseyMSFT/vcraic0318
fix broken links from CATS report
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articles/active-directory/develop/quickstart-v2-aspnet-core-webapp.md

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> [!div class="sxs-lookup" renderon="portal"]
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> Run the project using Visual Studio 2019.
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> [!div renderon="portal" id="autoupdate" class="nextstepaction"]
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> [Download the code sample]()
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> [Download the code sample](https://github.com/Azure-Samples/active-directory-aspnetcore-webapp-openidconnect-v2/archive/aspnetcore2-2.zip)
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> [!div class="sxs-lookup" renderon="portal"]
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> #### Step 3: Your app is configured and ready to run

articles/active-directory/develop/quickstart-v2-aspnet-webapp.md

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> [!div renderon="portal"]
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> Run the project using Visual Studio 2019.
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> [!div renderon="portal" id="autoupdate" class="nextstepaction"]
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> [Download the code sample]()
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> [Download the code sample](https://github.com/AzureADQuickStarts/AppModelv2-WebApp-OpenIDConnect-DotNet/archive/master.zip)
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> [!div class="sxs-lookup" renderon="portal"]
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> #### Step 3: Your app is configured and ready to run

articles/active-directory/develop/quickstart-v2-java-webapp.md

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> Put the generated keystore file in the "resources" folder.
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> [Download the code sample]()
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> [Download the code sample](https://github.com/Azure-Samples/ms-identity-java-webapp/archive/master.zip)
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> #### Step 3: Configure the code sample

articles/active-directory/develop/quickstart-v2-javascript.md

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> Run the project with a web server by using Node.js
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> [Download the code sample]()
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> [Download the code sample](https://github.com/Azure-Samples/active-directory-javascript-graphapi-v2/archive/quickstart.zip)
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articles/machine-learning/how-to-secure-web-service.md

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ssl_enabled=True, ssl_cert_pem_file="cert.pem", ssl_key_pem_file="key.pem", ssl_cname="www.contoso.com")
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```
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For more information, see [AciWebservice.deploy_configuration()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice.aciwebservice#deploy-configuration-cpu-cores-none--memory-gb-none--tags-none--properties-none--description-none--location-none--auth-enabled-none--ssl-enabled-none--enable-app-insights-none--ssl-cert-pem-file-none--ssl-key-pem-file-none--ssl-cname-none--dns-name-label-none-).
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For more information, see [AciWebservice.deploy_configuration()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice.aciwebservice#deploy-configuration-cpu-cores-none--memory-gb-none--tags-none--properties-none--description-none--location-none--auth-enabled-none--ssl-enabled-none--enable-app-insights-none--ssl-cert-pem-file-none--ssl-key-pem-file-none--ssl-cname-none--dns-name-label-none--primary-key-none--secondary-key-none--collect-model-data-none--cmk-vault-base-url-none--cmk-key-name-none--cmk-key-version-none-).
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## Update your DNS
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articles/machine-learning/how-to-use-environments.md

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### Debug the image build
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The following example uses the [`build()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.environment(class)?view=azure-ml-py#build-workspace-) method to manually create an environment as a Docker image. It monitors the output logs from the image build by using [`wait_for_completion()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.image(class)?view=azure-ml-py#wait-for-creation-show-output-false-). The built image then appears in the workspace's Azure Container Registry instance. This information is helpful for debugging.
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The following example uses the [`build()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.environment(class)?view=azure-ml-py#build-workspace--image-build-compute-none-) method to manually create an environment as a Docker image. It monitors the output logs from the image build by using [`wait_for_completion()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.image(class)?view=azure-ml-py#wait-for-creation-show-output-false-). The built image then appears in the workspace's Azure Container Registry instance. This information is helpful for debugging.
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```python
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from azureml.core import Image

articles/media-services/previous/media-services-advanced-encoding-with-mes.md

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If using an XML preset, make sure to preserve the order of elements, as shown in XML samples below (for example, KeyFrameInterval should precede SceneChangeDetection).
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> [!NOTE]
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> Many of the advanced Media Services v2 features of the Media Encoder Standard are currently not available in v3. For more information, see [feature gaps](https://docs.microsoft.com/azure/media-services/latest/migrate-from-v2-to-v3#feature-gaps-with-respect-to-v2-apis).
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> Many of the advanced Media Services v2 features of the Media Encoder Standard are currently not available in v3. For more information, see [feature gaps](https://docs.microsoft.com/azure/media-services/latest/media-services-v2-vs-v3#feature-gaps-with-respect-to-v2-apis).
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## Support for relative sizes
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You can mix and match notations as you please.
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Additionally, Start also supports a special Macro:{Best}, which attempts to determine the first interesting frame of the content
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Additionally, Start also supports a special Macro:{Best}, which attempts to determine the first "interesting" frame of the content
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NOTE: (Step and Range are ignored when Start is set to {Best})
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* Defaults: Start:{Best}
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* Output format needs to be explicitly provided for each Image format: Jpg/Png/BmpFormat. When present, MES matches JpgVideo to JpgFormat and so on. OutputFormat introduces a new image-codec specific Macro: {Index}, which needs to be present (once and only once) for image output formats.
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If you are using .NET, add the following two functions to the .NET example defined in [this](media-services-custom-mes-presets-with-dotnet.md#encoding_with_dotnet) topic. The **UploadMediaFilesFromFolder** function uploads files from a folder (for example, BigBuckBunny.mp4 and Image001.png) and sets the mp4 file to be the primary file in the asset. The **EncodeWithOverlay** function uses the custom preset file that was passed to it (for example, the preset that follows) to create the encoding task.
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static public IAsset UploadMediaFilesFromFolder(string folderPath)
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{
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IAsset asset = _context.Assets.CreateFromFolder(folderPath, AssetCreationOptions.None);
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foreach (var af in asset.AssetFiles)
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{
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// The following code assumes
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// you have an input folder with one MP4 and one overlay image file.
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af.IsPrimary = true;
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else
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af.IsPrimary = false;
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af.Update();
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}
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return asset;
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}
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static public IAsset UploadMediaFilesFromFolder(string folderPath)
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{
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IAsset asset = _context.Assets.CreateFromFolder(folderPath, AssetCreationOptions.None);
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foreach (var af in asset.AssetFiles)
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{
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// The following code assumes
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// you have an input folder with one MP4 and one overlay image file.
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af.IsPrimary = true;
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else
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}
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static public IAsset EncodeWithOverlay(IAsset assetSource, string customPresetFileName)
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Customers dont need to do anything if they like the interlace contents to be automatically de-interlaced. When the auto de-interlacing is on (default) the MES does the auto detection of interlaced frames and only de-interlaces frames marked as interlaced.
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Customers don't need to do anything if they like the interlace contents to be automatically de-interlaced. When the auto de-interlacing is on (default) the MES does the auto detection of interlaced frames and only de-interlaces frames marked as interlaced.
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articles/sql-database/azure-sql-database-hangs-importing-exporting.md

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## Things to consider when you export or import an Azure SQL database
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* All the methods discussed in this article use up the Database Transaction Unit (DTU) quota, which causes throttling by the Azure SQL Database service. You can [view the DTU stats for the database on the Azure portal](https://docs.microsoft.com/azure/sql-database/sql-database-monitor-tune-overview#monitor-database-performance). If the database has reached its resource limits, [upgrade the service tier](https://docs.microsoft.com/azure/sql-database/sql-database-scale-resources) to add more resources.
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* All the methods discussed in this article use up the Database Transaction Unit (DTU) quota, which causes throttling by the Azure SQL Database service. You can [view the DTU stats for the database on the Azure portal](https://docs.microsoft.com/azure/sql-database/sql-database-monitor-tune-overview#sql-database-resource-monitoring). If the database has reached its resource limits, [upgrade the service tier](https://docs.microsoft.com/azure/sql-database/sql-database-scale-resources) to add more resources.
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* Ideally, you should run client applications (like the sqlpackage utility or your custom DAC application) from a VM in the same region as your SQL database. Otherwise, you might experience performance issues related to network latency.
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* Exporting large tables without clustered indexes can be very slow or even cause failure. This behavior occurs because the table can't be split up and exported in parallel. Instead, it must be exported in a single transaction, and that causes slow performance and potential failure during export, especially for large tables.
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articles/sql-database/security-baseline.md

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https://docs.microsoft.com/azure/sql-database/sql-database-metrics-diag-logging#configure-the-streaming-export-of-diagnostic-telemetry
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**Azure Security Center monitoring**: Yes
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**Guidance**: Conduct exercises to test your systems' incident response capabilities on a regular cadence. Identify weak points and gaps and revise plan as needed.
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You can find more information on Microsofts strategy and execution of Red Teaming and live site penetration testing against Microsoft managed cloud infrastructure, services and applications, here:
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You can find more information on Microsoft's strategy and execution of Red Teaming and live site penetration testing against Microsoft managed cloud infrastructure, services and applications, here:
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**Azure Security Center monitoring**: Not applicable

articles/storage/blobs/data-lake-storage-migrate-gen1-to-gen2.md

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3. Review a list of [known issues](data-lake-storage-known-issues.md) to assess any gaps in functionality.
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4. Gen2 supports Blob storage features such as [diagnostic logging](../common/storage-analytics-logging.md), [access tiers](storage-blob-storage-tiers.md), and [Blob storage lifecycle management policies](storage-lifecycle-management-concepts.md). If you're interesting in using any of these features, review [current level of support](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-multi-protocol-access?toc=%2fazure%2fstorage%2fblobs%2ftoc.json#blob-storage-feature-support).
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4. Gen2 supports Blob storage features such as [diagnostic logging](../common/storage-analytics-logging.md), [access tiers](storage-blob-storage-tiers.md), and [Blob storage lifecycle management policies](storage-lifecycle-management-concepts.md). If you're interesting in using any of these features, review [current level of support](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-supported-blob-storage-features).
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5. Review the current state of [Azure ecosystem support](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-multi-protocol-access?toc=%2fazure%2fstorage%2fblobs%2ftoc.json#azure-ecosystem-support) to ensure that Gen2 supports any services that your solutions depend upon.
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5. Review the current state of [Azure ecosystem support](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-multi-protocol-access) to ensure that Gen2 supports any services that your solutions depend upon.
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### Step 2: Prepare to migrate
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