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articles/active-directory/authentication/how-to-mfa-registration-campaign.md

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@@ -266,9 +266,14 @@ No. This feature is available only for users using Azure AD Multi-Factor Authent
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Nudge is available only on browsers and not on applications.
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**Can users be nudged on a mobile device?**
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Nudge is not available on mobile devices.
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**How long will the campaign run for?**
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You can use the APIs to enable the campaign for as long as you like. Whenever you want to be done running the campaign, simply use the APIs to disable the campaign.
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**Can each group of users have a different snooze duration?**
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No. The snooze duration for the prompt is a tenant-wide setting and applies to all groups in scope.
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**Is there a way for me to hide the snooze option and force my users to setup the Authenticator app?**
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There is no way to hide the snooze option on the nudge. You can set the snoozeDuration to 0, which will ensure that users will see the nudge during each MFA attempt.
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Users in organizations with free and trial subscriptions can postpone the app setup up to three times. There is no way to hide the snooze option on the nudge for organizations with paid subscriptions yet. You can set the snoozeDuration to 0, which will ensure that users will see the nudge during each MFA attempt.
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**Will I be able to nudge my users if I am not using Azure AD Multi-Factor Authentication?**
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It's the same as snoozing.
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**Why don’t some users see a nudge when there is a conditional access policy for "Register security information"?**
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**Why don’t some users see a nudge when there is a Conditional Access policy for "Register security information"?**
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A nudge won't appear if a user is in scope for a Conditional Access policy that blocks access to the **Register security information** page.
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A nudge won't appear if a user is in scope for a conditional access policy that blocks access to the **Register security information** page.
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**Do users see a nudge when there is a terms of use (ToU) screen presented to the user during sign-in?**
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A nudge won't appear if a user is presented with the [terms of use (ToU)](/azure/active-directory/conditional-access/terms-of-use) screen during sign-in.
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**Do users see a nudge when Conditional Access custom controls are applicable to the sign-in?**
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A nudge won't appear if a user is redirected during sign-in due to [Conditional Access custom controls](/azure/active-directory/conditional-access/controls) settings.
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## Next steps
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[Enable passwordless sign-in with Microsoft Authenticator](howto-authentication-passwordless-phone.md)
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articles/aks/csi-secrets-store-driver.md

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```bash
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kubectl get pods -n kube-system -l 'app in (secrets-store-csi-driver,secrets-store-provider-azure)'
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```
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```output
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NAME READY STATUS RESTARTS AGE
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aks-secrets-store-csi-driver-4vpkj 3/3 Running 2 4m25s
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aks-secrets-store-csi-driver-ctjq6 3/3 Running 2 4m21s
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* Use the following commands to validate your secrets and print a test secret.
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To show secrets held in the secrets store:
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```bash
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## show secrets held in secrets-store
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kubectl exec busybox-secrets-store-inline -- ls /mnt/secrets-store/
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## print a test secret 'ExampleSecret' held in secrets-store
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kubectl exec busybox-secrets-store-inline -- cat /mnt/secrets-store/ExampleSecret
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```
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To display a secret in the store, for example this command shows the test secret `ExampleSecret`:
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```
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kubectl exec busybox-secrets-store-inline -- cat /mnt/secrets-store/ExampleSecret
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```
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## Obtain certificates and keys
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The Azure Key Vault design makes sharp distinctions between keys, secrets, and certificates. The Key Vault service’s certificates features were designed to make use of its key and secret capabilities. When a key vault certificate is created, an addressable key and secret are also created with the same name. The key allows key operations, and the secret allows the retrieval of the certificate value as a secret.
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* To disable autorotation, first disable the addon. Then, re-enable the addon without the `enable-secret-rotation` parameter.
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```azurecli-interactive
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# disable the addon
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az aks addon disable -g myResourceGroup -n myAKSCluster2 -a azure-keyvault-secrets-provider
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Disable the secrets provider addon:
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# re-enable the addon without the `enable-secret-rotation` parameter
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az aks addon enable -g myResourceGroup -n myAKSCluster2 -a azure-keyvault-secrets-provider
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```
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```azurecli-interactive
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az aks addon disable -g myResourceGroup -n myAKSCluster2 -a azure-keyvault-secrets-provider
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```
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Re-enable the secrets provider addon, but without the `enable-secret-rotation` parameter:
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```bash
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az aks addon enable -g myResourceGroup -n myAKSCluster2 -a azure-keyvault-secrets-provider
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```
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### Sync mounted content with a Kubernetes secret
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<!-- LINKS INTERNAL -->
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[az-aks-create]: /cli/azure/aks#az-aks-create
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[az-aks-enable-addons]: /cli/azure/aks#az-aks-enable-addons
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[az-aks-disable-addons]: /cli/azure/aks#az-aks-disable-addons
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[csi-storage-drivers]: ./csi-storage-drivers.md
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[identity-access-methods]: ./csi-secrets-store-identity-access.md
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[aad-pod-identity]: ./use-azure-ad-pod-identity.md
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[aad-workload-identity]: workload-identity-overview.md
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[az-keyvault-create]: /cli/azure/keyvault#az-keyvault-create.md
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[az-keyvault-secret-set]: /cli/azure/keyvault#az-keyvault-secret-set.md
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[az-aks-addon-update]: /cli/azure/aks#addon-update.md
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<!-- LINKS EXTERNAL -->
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[kube-csi]: https://kubernetes-csi.github.io/docs/
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[reloader]: https://github.com/stakater/Reloader
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[kubernetes-version-support]: ./supported-kubernetes-versions.md?tabs=azure-cli#kubernetes-version-support-policy
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articles/digital-twins/concepts-azure-digital-twins-explorer.md

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The explorer's main purpose is to help you visualize and understand your graph, and update your graph as needed. For large-scale solutions and for work that should be repeated or automated, consider using the [APIs and SDKs](./concepts-apis-sdks.md) to interact with your instance through code instead.
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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## How to access
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The main way to access Azure Digital Twins Explorer is through the [Azure portal](https://portal.azure.com).
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Azure Digital Twins Explorer is organized into panels, each with a different set of capabilities for exploring and managing your models, twins, and relationships.
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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The sections of the explorer are as follows:
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* **Query Explorer**: Run queries against the twin graph and see the visual results in the **Twin Graph** panel.
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For detailed instructions on how to use each feature, see [Use Azure Digital Twins Explorer](how-to-use-azure-digital-twins-explorer.md).
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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## How to contribute
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Azure Digital Twins Explorer is an open-source tool that welcomes contributions to the code and documentation. The hosted application is deployed regularly from a source code repository in GitHub.

articles/digital-twins/how-to-use-azure-digital-twins-explorer.md

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* [Show and hide twin graph elements](#show-and-hide-twin-graph-elements)
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* [Filter and highlight twin graph elements](#filter-and-highlight-twin-graph-elements)
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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Run a query using the [Query Explorer](#query-your-digital-twin-graph) to see the twins and relationships in the query result displayed in the **Twin Graph** panel.
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For information about the viewing experience for twins and relationships, see [Explore twins and the Twin Graph](#explore-the-twin-graph).
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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### View flat list of twins and relationships
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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To create a twin from a model, find that model in the list and choose the menu dots next to the model name. Then, select **Create a Twin**. You'll be asked to enter a **name** for the new twin, which must be unique. Then save the twin, which will add it to your graph.
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:::image type="content" source="media/how-to-use-azure-digital-twins-explorer/models-panel-create-a-twin.png" alt-text="Screenshot of Azure Digital Twins Explorer Models panel. The menu dots for a single model are highlighted, and the menu option to Create a Twin is also highlighted." lightbox="media/how-to-use-azure-digital-twins-explorer/models-panel-create-a-twin-large.png":::
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:::image type="content" source="media/how-to-use-azure-digital-twins-explorer/model-graph-panel.png" alt-text="Screenshot of Azure Digital Twins Explorer. The Model Graph panel is highlighted." lightbox="media/how-to-use-azure-digital-twins-explorer/model-graph-panel.png":::
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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To see the full definition of a model, find that model in the **Models** pane and select the menu dots next to the model name. Then, select **View Model**. Doing so will display a **Model Information** modal showing the raw DTDL definition of the model.
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You can upload models from your machine by selecting model files individually, or by uploading an entire folder of model files at once. If you're uploading one JSON file that contains the code for many models, be sure to review the [bulk model upload limitations](#limitations-of-bulk-model-upload).
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[!INCLUDE [digital-twins-explorer-dtdl](../../includes/digital-twins-explorer-dtdl.md)]
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:::image type="content" source="media/how-to-use-azure-digital-twins-explorer/models-panel-upload.png" alt-text="Screenshot of Azure Digital Twins Explorer Models panel. The Upload a model icon is highlighted.":::

articles/machine-learning/how-to-use-foundation-models.md

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You can quickly test out any pre-trained model using the Sample Inference widget on the model card, providing your own sample input to test the result. Additionally, the model card for each model includes a brief description of the model and links to samples for code based inferencing, finetuning and evaluation of the model.
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> [!NOTE]
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>If you are using a private workspace, your virtual network needs to allow outbound access in order to use foundation models in Azure Machine Learning
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> [!IMPORTANT]
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> Deploying foundational models to a managed online endpoint is currently supported with __public workspaces__ (and their public associated resources) only.
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> * When `egress_public_network_access` is set to `disabled`, the deployment can only access the workspace-associated resources secured in the virtual network.
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> * When `egress_public_network_access` is set to `enabled` for a managed online endpoint deployment, the deployment can only access the resources with public access. Which means that it cannot access resources secured in the virtual network.
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> For more information, see [Outbound resource access for managed online endpoints](how-to-secure-online-endpoint.md#outbound-resource-access).
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## How to evaluate foundation models using your own test data
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## How to finetune foundation models using your own training data
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In order to improve model performance in your workload, you might want to fine tune a foundation model using your own training data. You can easily finetune these foundation models by using either the finetune settings in the studio or by using the code based samples linked from the model card.
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### Finetune using the studio
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You can invoke the finetune settings form by selecting on the **Finetune** button on the model card for any foundation model.
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