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Bulk update: Global effort to fix validation errors
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articles/api-center/import-api-management-apis.md

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* Run [az apic api register](/cli/azure/apic/api#az-apic-api-register) to register a new API in your API center.
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* Run [az apic api definition import-specification](/cli/azure/apic/api/definition#az-apic-api-definition-import-specification) to import the API definition to an existing API.
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* **Option 2** - Import APIs directly from API Management to your API center using the [az apic import-from-apim](/cli/azure/apic/az-apic-import-from-apim) command.
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* **Option 2** - Import APIs directly from API Management to your API center using the [az apic import-from-apim](/cli/azure/apic#az-apic-import-from-apim) command.
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After importing API definitions or APIs from API Management, you can add metadata and documentation in your API center to help stakeholders discover, understand, and consume the API.
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articles/api-center/manage-apis-azure-cli.md

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## Related content
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* See the [Azure CLI reference for Azure API Center](/cli/azure/apic) for a complete command list, including commands to manage [environments](/cli/azure/apic/environment), [deployments](/cli/azure/apic/api/deployment), [metadata schemas](/cli/azure/apic/metadata), and [services](/cli/azure/apic/service).
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* See the [Azure CLI reference for Azure API Center](/cli/azure/apic) for a complete command list, including commands to manage [environments](/cli/azure/apic/environment), [deployments](/cli/azure/apic/api/deployment), [metadata schemas](/cli/azure/apic/metadata), and [services](/cli/azure/apic).
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* [Import APIs to your API center from API Management](import-api-management-apis.md)
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* [Use the Visual Studio extension for API Center](use-vscode-extension.md) to build and register APIs from Visual Studio Code.

articles/automation/manage-runtime-environment.md

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> [!NOTE]
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> - When you import a package, it might take several minutes. 100MB is the maximum total size of the files that you can import.
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> - Use *.zip* files for PowerShell runbook types as mentioned [here](https://learn.microsoft.com/powershell/scripting/developer/module/understanding-a-windows-powershell-module?view=powershell-7.4)
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> - Use *.zip* files for PowerShell runbook types as mentioned [here](/powershell/scripting/developer/module/understanding-a-windows-powershell-module?view=powershell-7.4)
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> - For Python 3.8 packages, use .tar.gz or .whl files targeting cp38-amd64.
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> - For Python 3.10 (preview) packages, use .whl files targeting cp310 Linux OS.
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articles/azure-monitor/agents/agent-linux-troubleshoot.md

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### Probable causes
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A regression in nss-pem package [v1.0.3-5.el7](https://centos.pkgs.org/7/centos-x86_64/nss-pem-1.0.3-7.el7.x86_64.rpm.html) caused a severe performance issue. We've been seeing this issue come up a lot in Redhat/CentOS 7.x distributions. To learn more about this issue, see [1667121 Performance regression in libcurl](https://bugzilla.redhat.com/show_bug.cgi?id=1667121).
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A regression in nss-pem package [v1.0.3-5.el7](https://pkgs.org/download/nss-pem) caused a severe performance issue. We've been seeing this issue come up a lot in Redhat/CentOS 7.x distributions. To learn more about this issue, see [1667121 Performance regression in libcurl](https://bugzilla.redhat.com/show_bug.cgi?id=1667121).
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Performance-related bugs don't happen all the time, and they're difficult to reproduce. If you experience such an issue with omiagent, use the script `omiHighCPUDiagnostics.sh`, which will collect the stack trace of the omiagent when it exceeds a certain threshold.
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### Resolution
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1. Upgrade the nss-pem package to [v1.0.3-5.el7_6.1](https://centos.pkgs.org/7/centos-x86_64/nss-pem-1.0.3-7.el7.x86_64.rpm.html): <br/>
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1. Upgrade the nss-pem package to [v1.0.3-5.el7_6.1](https://pkgs.org/download/nss-pem): <br/>
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`sudo yum upgrade nss-pem`
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1. If nss-pem isn't available for upgrade, which mostly happens on CentOS, downgrade curl to 7.29.0-46. If you run "yum update" by mistake, curl will be upgraded to 7.29.0-51 and the issue will happen again: <br/>

articles/azure-monitor/includes/get-authentication-token.md

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When requesting a token, you must provide a `resource` parameter. The `resource` parameter is the URL of the resource you want to access.
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Resources include:
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- https://management.azure.com
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- https://api.loganalytics.io
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- https://monitoring.azure.com
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- `https://management.azure.com`
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- `https://api.loganalytics.io`
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- `https://monitoring.azure.com`
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## [REST](#tab/rest)

articles/backup/backup-azure-arm-userestapi-restoreazurevms.md

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#### Step 2:
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Use the [Get Access Token API](/rest/api/backup/recovery-points-get-access-token-for-crr/get-access-token) to authorize your request to access replicated restore points in the secondary region:
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Use the Get Access Token API to authorize your request to access replicated restore points in the secondary region:
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```http
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POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/protectionContainers/{containerName}/protectedItems/{protectedItemName}/recoveryPoints/{recoveryPointId}/accessToken?api-version=2018-12-20

articles/backup/restore-azure-sql-vm-rest-api.md

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}
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```
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1. Use the [Get Access Token API](/rest/api/backup/recovery-points-get-access-token-for-crr/get-access-token) to get an access token to enable communication between the Azure Backup services.
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1. Use the Get Access Token API to get an access token to enable communication between the Azure Backup services.
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```http
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POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/protectionContainers/{containerName}/protectedItems/{protectedItemName}/recoveryPoints/{recoveryPointId}/accessToken?api-version=2018-12-20

articles/cloud-services/cloud-services-guestos-msrc-releases.md

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[5004335]: https://support.microsoft.com/kb/5004335
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[5008244]: https://support.microsoft.com/kb/5008244
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[5008277]: https://support.microsoft.com/kb/5008277
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[5008263]: https://support.microsoft.com/kb/5008263
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[5008263]: https://support.microsoft.com/topic/december-14-2021-kb5008263-monthly-rollup-513a39f5-b624-4214-b2be-b93f5a775e12
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[5001401]: https://support.microsoft.com/kb/5001401
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[5001403]: https://support.microsoft.com/kb/5001403
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[4578013]: https://support.microsoft.com/kb/4578013

articles/cosmos-db/nosql/migrate-hbase-to-cosmos-db.md

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**HBase**
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* [Custom filters](https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/filter/Filter.html)
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* [Custom filters](https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/filter/package-summary.html)
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Various filters are available as default in HBase, but you can also implement your own custom filters. Custom filters may be implemented if the filters available as default on HBase do not meet your requirements.
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articles/digital-twins/concepts-ontologies-adopt.md

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| Industry | Ontology repository | Description | Learn more |
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| --- | --- | --- | --- |
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| Smart buildings | [Digital Twins Definition Language-based RealEstateCore ontology for smart buildings](https://github.com/Azure/opendigitaltwins-building) | Microsoft has partnered with [RealEstateCore](https://www.realestatecore.io/) to deliver this open-source DTDL ontology for the real estate industry. [RealEstateCore](https://www.realestatecore.io/) is a consortium of real estate owners, software vendors, and research institutions.<br><br>This smart buildings ontology provides common ground for modeling smart buildings, using industry standards (like [BRICK Schema](https://brickschema.org/ontology/) or [W3C Building Topology Ontology](https://w3c-lbd-cg.github.io/bot/index.html)) to avoid reinvention. The ontology also comes with best practices for how to consume and properly extend it. | You can read more about the partnership with RealEstateCore and goals for this initiative in the following blog post and embedded video: [RealEstateCore, a smart building ontology for digital twins, is now available](https://techcommunity.microsoft.com/t5/internet-of-things/realestatecore-a-smart-building-ontology-for-digital-twins-is/ba-p/1914794). |
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| Smart buildings | [Digital Twins Definition Language-based RealEstateCore ontology for smart buildings](https://github.com/Azure/opendigitaltwins-building) | Microsoft has partnered with [RealEstateCore](https://www.realestatecore.io/) to deliver this open-source DTDL ontology for the real estate industry. [RealEstateCore](https://www.realestatecore.io/) is a consortium of real estate owners, software vendors, and research institutions.<br><br>This smart buildings ontology provides common ground for modeling smart buildings, using industry standards (like [BRICK Schema](https://ontology.brickschema.org/) or [W3C Building Topology Ontology](https://w3c-lbd-cg.github.io/bot/index.html)) to avoid reinvention. The ontology also comes with best practices for how to consume and properly extend it. | You can read more about the partnership with RealEstateCore and goals for this initiative in the following blog post and embedded video: [RealEstateCore, a smart building ontology for digital twins, is now available](https://techcommunity.microsoft.com/t5/internet-of-things/realestatecore-a-smart-building-ontology-for-digital-twins-is/ba-p/1914794). |
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| Smart cities | [Digital Twins Definition Language (DTDL) ontology for Smart Cities](https://github.com/Azure/opendigitaltwins-smartcities) | Microsoft has collaborated with [Open Agile Smart Cities (OASC)](https://oascities.org/) and [Sirus](https://sirus.be/) to provide a DTDL-based ontology for smart cities, starting with [ETSI CIM NGSI-LD](https://www.etsi.org/committee/cim). | You can also read more about the partnerships and approach for smart cities in the following blog post and embedded video: [Smart Cities Ontology for Digital Twins](https://techcommunity.microsoft.com/t5/internet-of-things/smart-cities-ontology-for-digital-twins/ba-p/2166585). |
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| Energy grids | [Digital Twins Definition Language (DTDL) ontology for Energy Grid](https://github.com/Azure/opendigitaltwins-energygrid/) | This ontology was created to help solution providers accelerate development of digital twin solutions for energy use cases like monitoring grid assets, outage and impact analysis, simulation, and predictive maintenance. Additionally, the ontology can be used to enable the digital transformation and modernization of the energy grid. It's adapted from the [Common Information Model (CIM)](https://cimug.ucaiug.org/), a global standard for energy grid assets management, power system operations modeling, and physical energy commodity market. | You can also read more about the partnerships and approach for energy grids in the following blog post: [Energy Grid Ontology for Digital Twins](https://techcommunity.microsoft.com/t5/internet-of-things/energy-grid-ontology-for-digital-twins-is-now-available/ba-p/2325134). |
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| Manufacturing | [Manufacturing Ontologies](https://github.com/digitaltwinconsortium/ManufacturingOntologies) | These ontologies were created to help solution providers accelerate development of digital twin solutions for manufacturing use cases like asset condition monitoring, simulation, OEE calculation, and predictive maintenance. Additionally, the ontologies can be used to enable the digital transformation and modernization of factories and plants. They are adapted from [OPC UA](https://opcfoundation.org), [ISA95](https://www.isa.org/standards-and-publications/isa-standards/isa-standards-committees/isa95) and the [Asset Administration Shell](https://reference.opcfoundation.org/I4AAS/v100/docs/4.1), three global standards widely used in the manufacturing space. | Visit the repository to read more about this ontology and explore a sample solution for ingesting OPC UA data into Azure Digital Twins. |

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