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.openpublishing.redirection.sentinel.json

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"redirect_url": "/azure/sentinel/data-connectors/rubrik-security-cloud-data-connector-using-azure-functions",
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"redirect_document_id": true
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},
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{
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"source_path": "articles/sentinel/data-connectors/cisco-asa-ftd-via-ama.md",
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"redirect_url": "/azure/sentinel/data-connectors-reference",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/sentinel/data-connectors/okta-single-sign-on-using-azure-function.md",
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"redirect_url": "/azure/sentinel/data-connectors/okta-single-sign-on-using-azure-functions",
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"source_path": "articles/sentinel/data-connectors/cyberpion-security-logs.md",
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"redirect_url": "/azure/sentinel/data-connectors-reference",
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"redirect_document_id": false
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}
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},
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{
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"source_path": "articles/sentinel/data-connectors/azure-active-directory-identity-protection.md",
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"redirect_url": "/azure/sentinel/data-connectors/microsoft-entra-id-protection",
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"redirect_document_id": true
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}
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]
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}

articles/ai-services/openai/how-to/provisioned-get-started.md

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--sku-name ProvisionedManaged
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```
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REST, ARM template, Bicep and Terraform can also be used to create deployments. See the section on automating deployments in the [Managing Quota](https://learn.microsoft.com/azure/ai-services/openai/how-to/quota?tabs=rest#automate-deployment) how-to guide and replace the `sku.name` with "ProvisionedManaged" rather than "Standard."
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REST, ARM template, Bicep and Terraform can also be used to create deployments. See the section on automating deployments in the [Managing Quota](quota.md?tabs=rest#automate-deployment) how-to guide and replace the `sku.name` with "ProvisionedManaged" rather than "Standard."
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## Make your first calls
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The inferencing code for provisioned deployments is the same a standard deployment type. The following code snippet shows a chat completions call to a GPT-4 model. For your first time using these models programmatically, we recommend starting with our [quickstart guide](../quickstart.md). Our recommendation is to use the OpenAI library with version 1.0 or greater since this includes retry logic within the library.
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## Next Steps
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* For more information on cloud application best practices, check out [Best practices in cloud applications](https://learn.microsoft.com/azure/architecture/best-practices/index-best-practices)
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* For more information on cloud application best practices, check out [Best practices in cloud applications](/azure/architecture/best-practices/index-best-practices)
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* For more information on provisioned deployments, check out [What is provisioned throughput?](../concepts/provisioned-throughput.md)
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* For more information on retry logic within each SDK, check out:
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* [Python reference documentation](https://github.com/openai/openai-python?tab=readme-ov-file#retries)
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* [.NET reference documentation](https://learn.microsoft.com/dotnet/api/azure.ai.openai.openaiclientoptions?view=azure-dotnet-preview)
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* [Java reference documentation](https://learn.microsoft.com/java/api/com.azure.ai.openai.openaiclientbuilder?view=azure-java-preview#com-azure-ai-openai-openaiclientbuilder-retryoptions(com-azure-core-http-policy-retryoptions))
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* [JavaScript reference documentation](https://learn.microsoft.com/javascript/api/@azure/openai/openaiclientoptions?view=azure-node-preview#@azure-openai-openaiclientoptions-retryoptions)
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* [GO reference documentation](https://pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai#ChatCompletionsOptions)
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* [.NET reference documentation](/dotnet/api/azure.ai.openai.openaiclientoptions?view=azure-dotnet-preview&preserve-view=true)
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* [Java reference documentation](/java/api/com.azure.ai.openai.openaiclientbuilder?view=azure-java-preview&preserve-view=true#com-azure-ai-openai-openaiclientbuilder-retryoptions(com-azure-core-http-policy-retryoptions))
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* [JavaScript reference documentation](/javascript/api/@azure/openai/openaiclientoptions?view=azure-node-preview&preserve-view=true#@azure-openai-openaiclientoptions-retryoptions)
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* [GO reference documentation](https://pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai#ChatCompletionsOptions)

articles/aks/developer-best-practices-pod-security.md

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title: Developer best practices - Pod security in Azure Kubernetes Services (AKS)
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description: Learn the developer best practices for how to secure pods in Azure Kubernetes Service (AKS)
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ms.topic: conceptual
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ms.date: 10/27/2022
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ms.date: 01/12/2024
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ms.author: zarhoads
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---
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articles/aks/gpu-cluster.md

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## Limitations
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* AKS does not support Windows GPU-enabled node pools.
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* If you're using an Azure Linux GPU-enabled node pool, automatic security patches aren't applied, and the default behavior for the cluster is *Unmanaged*. For more information, see [auto-upgrade](./auto-upgrade-node-image.md).
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* [NVadsA10](https://learn.microsoft.com/azure/virtual-machines/nva10v5-series) v5-series are not a recommended SKU for GPU VHD.
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* [NVadsA10](../virtual-machines/nva10v5-series.md) v5-series are not a recommended SKU for GPU VHD.
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## Before you begin
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