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articles/ai-services/openai/concepts/content-filter.md

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* GPT model series
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* GPT-4 Turbo Vision GA<sup>*</sup> (turbo-2024-04-09)
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* GPT-4o
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* GPT-4o
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* GPT-4o mini
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* DALL-E 2 and 3
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<sup>*</sup>Only available for GPT-4 Turbo Vision GA, does not apply to GPT-4 Turbo Vision preview

articles/ai-services/openai/includes/assistants-javascript.md

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ms.custom: passwordless-js, devex-track-javascript
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---
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<a href="/javascript/api/@azure/openai-assistants" target="_blank">Reference documentation</a> | <a href="https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai-assistants" target="_blank">Library source code</a> | <a href="https://www.npmjs.com/package/@azure/openai-assistants" target="_blank">Package (npm)</a> |
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<a href="/javascript/api/@azure/openai-assistants" target="_blank">Reference documentation</a> | <a href="https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai" target="_blank">Library source code</a> | <a href="https://www.npmjs.com/package/@azure/openai-assistants" target="_blank">Package (npm)</a> |
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## Prerequisites
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articles/ai-services/openai/includes/chatgpt-javascript.md

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[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai)
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> [!NOTE]
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> This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v1-beta/javascript).
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> This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v2-beta/javascript).
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## Prerequisites
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articles/ai-services/openai/includes/javascript.md

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[Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai)
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> [!NOTE]
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> This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v1-beta/javascript).
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> This article has been updated to use the [latest OpenAI npm package](https://www.npmjs.com/package/openai) which now fully supports Azure OpenAI. If you are looking for code examples for the legacy Azure OpenAI JavaScript SDK they are currently still [available in this repo](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/v2-beta/javascript).
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## Prerequisites
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articles/automation/runbook-input-parameters.md

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#### Start a runbook using an SDK and assign parameters
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* **Azure Resource Manager method:** You can start a runbook using the SDK of a programming language. Below is a C# code snippet for starting a runbook in your Automation account. You can view all the code at our [GitHub repository](https://github.com/Azure/azure-sdk-for-net/blob/master/sdk/automation/Microsoft.Azure.Management.Automation/tests/TestSupport/AutomationTestBase.cs).
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* **Azure Resource Manager method:** You can start a runbook using the SDK of a programming language. Below is a C# code snippet for starting a runbook in your Automation account. You can view all the code at our [GitHub repository](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/automation/Azure.ResourceManager.Automation/tests/AutomationManagementTestBase.cs).
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```csharp
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public Job StartRunbook(string runbookName, IDictionary<string, string> parameters = null)
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}
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```
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* **Azure classic deployment model method:** You can start a runbook by using the SDK of a programming language. Below is a C# code snippet for starting a runbook in your Automation account. You can view all the code at our [GitHub repository](https://github.com/Azure/azure-sdk-for-net/blob/master/sdk/automation/Microsoft.Azure.Management.Automation/tests/TestSupport/AutomationTestBase.cs).
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* **Azure classic deployment model method:** You can start a runbook by using the SDK of a programming language. Below is a C# code snippet for starting a runbook in your Automation account. You can view all the code at our [GitHub repository](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/automation/Azure.ResourceManager.Automation/tests/AutomationManagementTestBase.cs).
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```csharp
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public Job StartRunbook(string runbookName, IDictionary<string, string> parameters = null)

articles/azure-arc/data/release-notes.md

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services: azure-arc
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ms.service: azure-arc
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ms.subservice: azure-arc-data
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ms.date: 07/17/2024
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ms.date: 08/22/2024
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ms.topic: conceptual
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#Customer intent: As a data professional, I want to understand why my solutions would benefit from running with Azure Arc-enabled data services so that I can leverage the capability of the feature.
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This article highlights capabilities, features, and enhancements recently released or improved for Azure Arc-enabled data services.
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## August 13, 2024
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**Image tag**: `v1.32.0_2024-08-13`
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For complete release version information, review [Version log](version-log.md#august-13-2024).
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## July 9, 2024
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**Image tag**: `v1.31.0_2024-07-09`

articles/azure-arc/data/version-log.md

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- ignite-2023
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ms.date: 07/09/2024
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ms.date: 08/22/2024
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#Customer intent: As a data professional, I want to understand what versions of components align with specific releases.
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This article identifies the component versions with each release of Azure Arc-enabled data services.
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## July 9 2024
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## August 13, 2024
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|Component|Value|
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|-----------|-----------|
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|Container images tag |`v1.32.0_2024-08-13`|
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|**CRD names and version:**| |
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|`activedirectoryconnectors.arcdata.microsoft.com`| v1beta1, v1beta2, v1, v2|
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|`datacontrollers.arcdata.microsoft.com`| v1beta1, v1 through v5|
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|`exporttasks.tasks.arcdata.microsoft.com`| v1beta1, v1, v2|
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|`failovergroups.sql.arcdata.microsoft.com`| v1beta1, v1beta2, v1, v2|
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|`kafkas.arcdata.microsoft.com`| v1beta1 through v1beta4|
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|`monitors.arcdata.microsoft.com`| v1beta1, v1, v3|
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|`postgresqls.arcdata.microsoft.com`| v1beta1 through v1beta6|
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|`postgresqlrestoretasks.tasks.postgresql.arcdata.microsoft.com`| v1beta1|
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|`sqlmanagedinstances.sql.arcdata.microsoft.com`| v1beta1, v1 through v13|
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|`sqlmanagedinstancemonitoringprofiles.arcdata.microsoft.com`| v1beta1, v1beta2|
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|`sqlmanagedinstancereprovisionreplicatasks.tasks.sql.arcdata.microsoft.com`| v1beta1|
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|`sqlmanagedinstancerestoretasks.tasks.sql.arcdata.microsoft.com`| v1beta1, v1|
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|`telemetrycollectors.arcdata.microsoft.com`| v1beta1 through v1beta5|
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|`telemetryrouters.arcdata.microsoft.com`| v1beta1 through v1beta5|
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|Azure Resource Manager (ARM) API version|2023-11-01-preview|
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|`arcdata` Azure CLI extension version|1.5.17 ([Download](https://aka.ms/az-cli-arcdata-ext))|
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|Arc-enabled Kubernetes helm chart extension version|1.32.0|
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|Azure Arc Extension for Azure Data Studio<br/>`arc`<br/>`azcli`|<br/>1.8.0 ([Download](https://aka.ms/ads-arcdata-ext))</br>1.8.0 ([Download](https://aka.ms/ads-azcli-ext))|
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|SQL Database version | 972 |
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## July 9, 2024
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|Component|Value|
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|-----------|-----------|

articles/azure-monitor/agents/azure-monitor-agent-migration.md

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Migration is a complex task. Start planning your migration to Azure Monitor Agent using the information in this article as a guide.
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> [!IMPORTANT]
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> The Log Analytics agent will be [retired on **August 31, 2024**](https://azure.microsoft.com/updates/were-retiring-the-log-analytics-agent-in-azure-monitor-on-31-august-2024/). You can expect the following when you use the MMA or OMS agent after this date.
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> The Log Analytics agent will be [retired on **August 31, 2024**](https://azure.microsoft.com/updates/were-retiring-the-log-analytics-agent-in-azure-monitor-on-31-august-2024/). The depreciation does not apply to MMA agent connected exclusively to an On-Prem SCOM installation.
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>
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> You can expect the following when you use the MMA or OMS agent after August 31, 2024.
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> - **Data upload:** Cloud ingestion services will gradually reduce support for MMA agents, which may result in decreased support and potential compatibility issues for MMA agents over time. Ingestion for MMA will be unchanged until February 1 2025.
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> - **Installation:** The ability to install the legacy agents will be removed from the Azure Portal and installation policies for legacy agents will be removed. You can still install the MMA agents extension as well as perform offline installations.
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> - **Customer Support:** You will not be able to get support for legacy agent issues.

articles/azure-monitor/agents/azure-monitor-agent-mma-removal-tool.md

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2. *Removal*: The utility removes the legacy agent from machines listed in the CSV file. You should edit the list of machine in the CSV file to ensure that only machines you want the agent removed from are present.
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>!Note
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> The removal does not work on MMA agents that were installed using the MSI installer. It only works on the VM extensions.
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>
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## Prerequisites
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articles/azure-monitor/containers/kubernetes-monitoring-enable.md

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Using the Azure portal, you can enable both Managed Prometheus and Container insights at the same time.
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> If you want to enabled Managed Prometheus without Container insights, then [enable it from the Azure Monitor workspace](./kubernetes-monitoring-enable.md#enable-prometheus-and-grafana) as described below.
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### New AKS cluster (Prometheus and Container insights)
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:::image type="content" source="media/prometheus-metrics-enable/aks-integrations.png" lightbox="media/prometheus-metrics-enable/aks-integrations.png" alt-text="Screenshot of integrations tab for new AKS cluster.":::
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### Existing cluster (Prometheus and Container insights)
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This option enables Container insights and optionally Prometheus and Grafana on an existing AKS cluster.
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1. Either select **Insights** from the cluster's menu OR select **Containers** from the **Monitor** menu, **Unmonitored clusters** tab, and click **Enable** next to a cluster.
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:::image type="content" source="media/aks-onboard/configure-monitoring-screen.png" lightbox="media/aks-onboard/configure-monitoring-screen.png" alt-text="Screenshot that shows the configuration screen for a cluster.":::
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When you create a new AKS cluster in the Azure portal, you can enable Prometheus, Container insights, and Grafana from the **Monitoring** tab. Make sure that you check the **Enable Container Logs**, **Enable Prometheus metrics**, and **Enable Grafana** checkboxes.
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2. If Container insights has already been enabled on the cluster, select the **Monitoring Settings** button to modify the configuration.
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:::image type="content" source="media/prometheus-metrics-enable/aks-integrations.png" lightbox="media/prometheus-metrics-enable/aks-integrations.png" alt-text="Screenshot of Monitoring tab for new AKS cluster.":::
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:::image type="content" source="media/aks-onboard/monitor-settings-button.png" lightbox="media/aks-onboard/monitor-settings-button.png" alt-text="Screenshot that shows the monitoring settings button for a cluster.":::
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### Existing cluster (Prometheus, Container insights, and Grafana)
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2. **Container insights** will be enabled. **Select** the checkboxes for **Enable Prometheus metrics** and **Enable Grafana** if you also want to enable them for the cluster. If you have existing Azure Monitor workspace and Grafana workspace, then they're selected for you.
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:::image type="content" source="media/prometheus-metrics-enable/configure-container-insights.png" lightbox="media/prometheus-metrics-enable/configure-container-insights.png" alt-text="Screenshot that shows the dialog box to configure Container insights with Prometheus and Grafana.":::
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3. Click **Advanced settings** to select alternate workspaces or create new ones. The **Cost presets** setting allows you to modify the default collection details to reduce your monitoring costs. See [Enable cost optimization settings in Container insights](./container-insights-cost-config.md) for details.
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2. In the service menu, under **Monitoring**, select **Insights** > **Configure monitoring**.
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3. Container insights is already enabled. Select the **Enable Prometheus metrics** and **Enable Grafana** checkboxes. If you have existing Azure Monitor workspace and Grafana workspace, then they're selected for you.
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4. Select **Advanced settings** if you want to select alternate workspaces or create new ones. The **Cost presets** setting allows you to modify the default collection details to reduce your monitoring costs. See [Enable cost optimization settings in Container insights](./container-insights-cost-config.md) for details.
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5. Select **Configure**.
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:::image type="content" source="media/prometheus-metrics-enable/azure-monitor-workspace-configure-prometheus.png" lightbox="media/prometheus-metrics-enable/azure-monitor-workspace-configure-prometheus.png" alt-text="Screenshot that shows an Azure Monitor workspace with a Prometheus configuration.":::
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### Existing cluster (Add Prometheus)
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2. In the service menu, under **Monitoring**, select **Insights** > **Configure monitoring**.
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3. Select the **Enable Prometheus metrics** checkbox.
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4. Select **Advanced settings** if you want to select alternate workspaces or create new ones. The **Cost presets** setting allows you to modify the default collection details to reduce your monitoring costs.
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5. Select **Configure**.
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## Enable Windows metrics collection (preview)
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