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2026_02 - Fix monthly broken links
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  • learn-pr
    • wwl-azure
    • wwl-data-ai
      • build-multi-item-transactions-azure-cosmos-db-sql-api/includes
      • configure-multi-region-write-azure-cosmos-db-sql-api/includes
      • consume-azure-cosmos-db-sql-api-change-feed-use-sdk/includes
      • customize-indexes-azure-cosmos-db-sql-api/includes
      • expand-query-transaction-functionality-azure-cosmos-db-sql-api/includes
      • measure-performance-azure-cosmos-db-sql-api/includes
      • monitor-responses-events-azure-cosmos-db-sql-api/includes
      • move-data-azure-cosmos-db-sql-api/includes
      • perform-cross-document-transactional-operations-azure-cosmos-db-sql-api/includes
      • plan-resource-requirements/includes

learn-pr/wwl-azure/migrate-mongodb-database-to-azure-cosmos-db/includes/3-pre-migration.md

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Immutable decisions. It's time to make several of your design decisions, not only because we need to plan the migration correctly, but also because we won't be able to change some of those configurations once the resources are created. To help us make the right choices that we can't change, we should:
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- **Choose the best Shard key** - Once we create our collection, we won't be able to change our shard key, so we need to choose the right one from the start. Once we pick the shard key for our collection, Azure Cosmos DB will manage the horizontal growth of our collection. In the previous module, we delved in detail into this subject under the ***Models and Shard keys*** unit. If you would like to read more on this subject, refer to the articles [Partitioning and horizontal scaling in Azure Cosmos DB](/azure/cosmos-db/partitioning-overview) and [Choosing a Partition Key](/azure/cosmos-db/partitioning-overview#choose-partitionkey) article. Remember that Sharding is also known as Partitioning.
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- **Choose the right model** - Again, we discussed this subject in more detail in the previous module's ***Models and Shard keys*** unit. For more information, see the [Data modeling in Azure Cosmos DB](/azure/cosmos-db/sql/modeling-data) article.
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- **Choose the right model** - Again, we discussed this subject in more detail in the previous module's ***Models and Shard keys*** unit. For more information, see the [Data modeling in Azure Cosmos DB](/azure/cosmos-db/modeling-data) article.
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- **Choose between dedicated and shared throughput for each resource that you will migrate** - For more information, see the [Optimize provisioned throughput cost in Azure Cosmos DB](/azure/cosmos-db/optimize-cost-throughput#optimize-by-provisioning-throughput-at-different-levels) article.
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> [!TIP]

learn-pr/wwl-azure/replicate-monitor-azure-cosmos-db-api-mongodb-account/includes/3-consistency-levels.md

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| | | | LINEARIZABILITY/SNAPSHOT | Not Allowed | Not Allowed | Not Allowed |
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| None (W=0) | Consistent Prefix | *IsMaster=true/false* | ANY | Consistent Prefix | Stale reads, dirty reads | Consistent Prefix |
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If your Azure Cosmos account is configured with a consistency level other than the strong consistency, you can find out the probability that your clients may get strong and consistent reads for your workloads by looking at the [Probabilistically Bounded Staleness (PBS)](http://pbs.cs.berkeley.edu/) metric. This metric is exposed in the Azure portal, to learn more, see [Monitor Probabilistically Bounded Staleness (PBS) metric](/azure/cosmos-db/sql/how-to-manage-consistency?tabs=portal%2Cdotnetv2%2Capi-async#monitor-probabilistically-bounded-staleness-pbs-metric).
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If your Azure Cosmos account is configured with a consistency level other than the strong consistency, you can find out the probability that your clients may get strong and consistent reads for your workloads by looking at the [Probabilistically Bounded Staleness (PBS)](http://pbs.cs.berkeley.edu/) metric. This metric is exposed in the Azure portal, to learn more, see [Monitor Probabilistically Bounded Staleness (PBS) metric](/azure/cosmos-db/how-to-manage-consistency?tabs=portal%2Cdotnetv2%2Capi-async#monitor-probabilistically-bounded-staleness-pbs-metric).
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Probabilistically bounded staleness shows how eventual is your eventual consistency. This metric provides an insight into how often you can get a stronger consistency than the consistency level that you've currently configured on your Azure Cosmos account. In other words, you can see the probability (measured in milliseconds) of getting strongly consistent reads for a combination of write and read regions.

learn-pr/wwl-data-ai/build-multi-item-transactions-azure-cosmos-db-sql-api/includes/8-summary.md

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For more information about the topics discussed in this module, see:
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- [How to write stored procedures, triggers, and user-defined functions in Azure Cosmos DB][/azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs]
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- [How to write stored procedures and triggers in Azure Cosmos DB by using the JavaScript query API][/azure/cosmos-db/sql/how-to-write-javascript-query-api]
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- [How to write stored procedures, triggers, and user-defined functions in Azure Cosmos DB][/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs]
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- [How to write stored procedures and triggers in Azure Cosmos DB by using the JavaScript query API][/azure/cosmos-db/how-to-write-javascript-query-api]
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[/azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs]: /azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs
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[/azure/cosmos-db/sql/how-to-write-javascript-query-api]: /azure/cosmos-db/sql/how-to-write-javascript-query-api
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[/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs]: /azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs
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[/azure/cosmos-db/how-to-write-javascript-query-api]: /azure/cosmos-db/how-to-write-javascript-query-api

learn-pr/wwl-data-ai/configure-multi-region-write-azure-cosmos-db-sql-api/includes/8-summary.md

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For more information about the topics discussed in this module, see:
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- [Configure multi-region writes in your applications that use Azure Cosmos DB][/azure/cosmos-db/sql/how-to-multi-master]
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- [Configure multi-region writes in your applications that use Azure Cosmos DB][/azure/cosmos-db/how-to-multi-master]
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- [Conflict types and resolution policies when using multiple write regions][/azure/cosmos-db/conflict-resolution-policies]
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- [Manage conflict resolution policies in Azure Cosmos DB][/azure/cosmos-db/sql/how-to-manage-conflicts]
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- [Manage conflict resolution policies in Azure Cosmos DB][/azure/cosmos-db/how-to-manage-conflicts]
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[/azure/cosmos-db/sql/how-to-multi-master]: /azure/cosmos-db/sql/how-to-multi-master
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[/azure/cosmos-db/how-to-multi-master]: /azure/cosmos-db/how-to-multi-master
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[/azure/cosmos-db/conflict-resolution-policies]: /azure/cosmos-db/conflict-resolution-policies
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[/azure/cosmos-db/sql/how-to-manage-conflicts]: /azure/cosmos-db/sql/how-to-manage-conflicts
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[/azure/cosmos-db/how-to-manage-conflicts]: /azure/cosmos-db/how-to-manage-conflicts

learn-pr/wwl-data-ai/consume-azure-cosmos-db-sql-api-change-feed-use-sdk/includes/8-summary.md

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For more information about the topics discussed in this module, see:
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- [Change feed in Azure Cosmos DB][/azure/cosmos-db/change-feed]
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- [Change feed processor in Azure Cosmos DB][/azure/cosmos-db/sql/change-feed-processor]
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- [Use the change feed estimator][/azure/cosmos-db/sql/how-to-use-change-feed-estimator]
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- [Change feed processor in Azure Cosmos DB][/azure/cosmos-db/change-feed-processor]
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- [Use the change feed estimator][/azure/cosmos-db/how-to-use-change-feed-estimator]
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[/azure/cosmos-db/change-feed]: /azure/cosmos-db/change-feed
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[/azure/cosmos-db/sql/change-feed-processor]: /azure/cosmos-db/sql/change-feed-processor
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[/azure/cosmos-db/sql/how-to-use-change-feed-estimator]: /azure/cosmos-db/sql/how-to-use-change-feed-estimator
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[/azure/cosmos-db/change-feed-processor]: /azure/cosmos-db/change-feed-processor
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[/azure/cosmos-db/how-to-use-change-feed-estimator]: /azure/cosmos-db/how-to-use-change-feed-estimator

learn-pr/wwl-data-ai/customize-indexes-azure-cosmos-db-sql-api/includes/6-summary.md

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- [Indexing policies in Azure Cosmos DB][/azure/cosmos-db/index-policy]
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- [Manage indexing policies in Azure Cosmos DB][/azure/cosmos-db/sql/how-to-manage-indexing-policy]
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- [Manage indexing policies in Azure Cosmos DB][/azure/cosmos-db/how-to-manage-indexing-policy]
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[/azure/cosmos-db/index-policy]: /azure/cosmos-db/index-policy
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[/azure/cosmos-db/sql/how-to-manage-indexing-policy]: /azure/cosmos-db/sql/how-to-manage-indexing-policy
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[/azure/cosmos-db/how-to-manage-indexing-policy]: /azure/cosmos-db/how-to-manage-indexing-policy

learn-pr/wwl-data-ai/expand-query-transaction-functionality-azure-cosmos-db-sql-api/includes/8-summary.md

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For more information about the topics discussed in this module, see:
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- [How to write stored procedures, triggers, and user-defined functions in Azure Cosmos DB][/azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs]
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- [How to write stored procedures, triggers, and user-defined functions in Azure Cosmos DB][/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs]
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- [User-defined functions (UDFs) in Azure Cosmos DB][/azure/cosmos-db/sql/sql-query-udfs]
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[/azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs]: /azure/cosmos-db/sql/how-to-write-stored-procedures-triggers-udfs
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[/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs]: /azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs
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[/azure/cosmos-db/sql/sql-query-udfs]: /azure/cosmos-db/sql/sql-query-udfs

learn-pr/wwl-data-ai/measure-performance-azure-cosmos-db-sql-api/includes/8-summary.md

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- [Monitoring Azure Cosmos DB data reference][/azure/cosmos-db/monitor-cosmos-db-reference]
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- [How to monitor throughput or request unit usage of an operation in Azure Cosmos DB][/azure/cosmos-db/monitor-request-unit-usage]
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- [Optimize your Azure Cosmos DB application using rate limiting][/azure/cosmos-db/rate-limiting-requests]
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- [Diagnose and troubleshoot Azure Cosmos DB request rate too large (429) exceptions][/azure/cosmos-db/sql/troubleshoot-request-rate-too-large]
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- [Diagnose and troubleshoot Azure Cosmos DB request rate too large (429) exceptions][/azure/cosmos-db/troubleshoot-request-rate-too-large]
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- [Troubleshoot issues with diagnostics queries][/azure/cosmos-db/cosmosdb-monitor-logs-basic-queries]
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- [Monitor Azure Cosmos DB data by using diagnostic settings in Azure][/azure/cosmos-db/cosmosdb-monitor-resource-logs]
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- [Create diagnostic settings to send Azure Monitor platform logs and metrics to different destinations][/azure/azure-monitor/essentials/diagnostic-settings]

learn-pr/wwl-data-ai/monitor-responses-events-azure-cosmos-db-sql-api/includes/9-summary.md

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- [Delete Document][/rest/api/cosmos-db/delete-a-document]
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- [Query Documents][/rest/api/cosmos-db/query-documents]
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- [HTTP Status Codes for Azure Cosmos DB][/rest/api/cosmos-db/http-status-codes-for-cosmosdb]
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- [Diagnose and troubleshoot Azure Cosmos DB service unavailable exceptions][/azure/cosmos-db/sql/troubleshoot-service-unavailable]
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- [Diagnose and troubleshoot Azure Cosmos DB service unavailable exceptions][/azure/cosmos-db/troubleshoot-service-unavailable]
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- [Azure Cosmos DB for NoSQL SDK connectivity modes][/azure/cosmos-db/sql/sql-sdk-connection-modes]
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- [Diagnose and troubleshoot Azure Cosmos DB .NET SDK request timeout exceptions][/azure/cosmos-db/sql/troubleshoot-dot-net-sdk-request-timeout]
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- [Diagnose and troubleshoot Azure Cosmos DB request rate too large (429) exceptions][/azure/cosmos-db/sql/troubleshoot-request-rate-too-large]
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- [Diagnose and troubleshoot Azure Cosmos DB request rate too large (429) exceptions][/azure/cosmos-db/troubleshoot-request-rate-too-large]
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- [Create alerts for Azure Cosmos DB using Azure Monitor][/azure/cosmos-db/create-alerts]
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- [Security in Azure Cosmos DB - overview][/azure/cosmos-db/database-security]
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- [Azure security baseline for Azure Cosmos DB][/security/benchmark/azure/baselines/cosmos-db-security-baseline]
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[/rest/api/cosmos-db/delete-a-document]: /rest/api/cosmos-db/delete-a-document
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[/rest/api/cosmos-db/query-documents]: /rest/api/cosmos-db/query-documents
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[/rest/api/cosmos-db/http-status-codes-for-cosmosdb]: /rest/api/cosmos-db/http-status-codes-for-cosmosdb
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[/azure/cosmos-db/sql/troubleshoot-service-unavailable]: /azure/cosmos-db/sql/troubleshoot-service-unavailable
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[/azure/cosmos-db/troubleshoot-service-unavailable]: /azure/cosmos-db/troubleshoot-service-unavailable
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[/azure/cosmos-db/sql/sql-sdk-connection-modes]: /azure/cosmos-db/sql/sql-sdk-connection-modes
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[/azure/cosmos-db/sql/troubleshoot-dot-net-sdk-request-timeout]: /azure/cosmos-db/sql/troubleshoot-dot-net-sdk-request-timeout
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[/azure/cosmos-db/sql/troubleshoot-request-rate-too-large]: /azure/cosmos-db/sql/troubleshoot-request-rate-too-large
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[/azure/cosmos-db/troubleshoot-request-rate-too-large]: /azure/cosmos-db/troubleshoot-request-rate-too-large
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[/azure/cosmos-db/create-alerts]: /azure/cosmos-db/create-alerts
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[/azure/cosmos-db/database-security]: /azure/cosmos-db/database-security
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[/security/benchmark/azure/baselines/cosmos-db-security-baseline]: /security/benchmark/azure/baselines/cosmos-db-security-baseline

learn-pr/wwl-data-ai/move-data-azure-cosmos-db-sql-api/includes/8-summary.md

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- [Copy and transform data in Azure Cosmos DB for NoSQL by using Azure Data Factory][/azure/data-factory/connector-azure-cosmos-db]
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- [Kafka Connect for Azure Cosmos DB][/azure/cosmos-db/sql/kafka-connector]
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- [Kafka Connect for Azure Cosmos DB][/azure/cosmos-db/kafka-connector]
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- [Azure Cosmos DB output from Azure Stream Analytics][/azure/stream-analytics/azure-cosmos-db-output]
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- [Configure and use Azure Synapse Link for Azure Cosmos DB][/azure/cosmos-db/configure-synapse-link]
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- [Interact with Azure Cosmos DB using Apache Spark 3 in Azure Synapse Link][/azure/synapse-analytics/synapse-link/how-to-query-analytical-store-spark-3]
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[/azure/cosmos-db/sql/kafka-connector]: /azure/cosmos-db/sql/kafka-connector
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[/azure/cosmos-db/kafka-connector]: /azure/cosmos-db/kafka-connector
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[/azure/cosmos-db/configure-synapse-link]: /azure/cosmos-db/configure-synapse-link
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[/azure/data-factory/connector-azure-cosmos-db]: /azure/data-factory/connector-azure-cosmos-db
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[/azure/stream-analytics/azure-cosmos-db-output]: /azure/stream-analytics/azure-cosmos-db-output

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