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| Maximum prompt tokens per request | Varies per model. For more information, see [Azure OpenAI Service models](./concepts/models.md)|
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| Max fine-tuned model deployments | 5 |
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| Total number of training jobs per resource | 100 |
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| GPT-4o max images per request (# of images in the messages array/conversation history) | 10 |
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| GPT-4 `vision-preview` & GPT-4 `turbo-2024-04-09` default max tokens | 16 <br><br> Increase the `max_tokens` parameter value to avoid truncated responses. GPT-4o max tokens defaults to 4096. |
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|Azure for Students, Free Trials | 1 K (all models)|
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| Monthly credit card based accounts <sup>1</sup> | GPT 3.5 Turbo Series: 30 K <br> GPT-4 series: 8 K <br> |
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<sup>1</sup>This currently applies to [offer type 0003P](https://azure.microsoft.com/support/legal/offer-details/)
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<sup>1</sup>This currently applies to [offer type 0003P](https://azure.microsoft.com/support/legal/offer-details/)
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In the Azure portal you can view what offer type is associated with your subscription by navigating to your subscription and checking the subscriptions overview pane. Offer type corresponds to the plan field in the subscription overview.
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services: azure-monitor
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ms.topic: conceptual
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ms.custom:
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ms.date: 03/12/2024
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ms.date: 06/13/2024
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ms.reviewer: lualderm
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---
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There are three sources for diagnostic information:
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-**[Platform metrics](./metrics-supported.md)** are sent automatically to [Azure Monitor Metrics](./data-platform-metrics.md) by default and without configuration.
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-**[Platform logs](./platform-logs-overview.md)** - provide detailed diagnostic and auditing information for Azure resources and the Azure platform they depend on.
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-**Resource logs** aren't collected until they're routed to a destination.
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- Platform metrics are sent automatically to [Azure Monitor Metrics](./data-platform-metrics.md) by default and without configuration. For more information on supported metrics, see [Supported metrics with Azure Monitor](./metrics-supported.md)
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- Platform logs provide detailed diagnostic and auditing information for Azure resources and the Azure platform they depend on.
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-**Resource logs** aren't collected until they're routed to a destination. For more information on supported logs, see [Supported Resource log categories for Azure Monitor](/azure/azure-monitor/reference/supported-logs/logs-index)
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- The **Activity log** provides information about resources from outside the resource, such as when the resource was created or deleted. Entries exist on their own but can be routed to other locations.
|[Bring your own certificate](cdn-custom-ssl.md?tabs=option-2-enable-https-with-your-own-certificate#tlsssl-certificates)|**✓**|**✓**|**✓**|
Copy file name to clipboardExpand all lines: articles/open-datasets/dataset-boston-safety.md
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ms.service: open-datasets
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ms.custom: devx-track-python
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ms.topic: sample
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ms.date: 04/16/2021
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ms.reviewer: franksolomon
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ms.date: 06/13/2024
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---
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# Boston Safety Data
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311 calls reported to the city of Boston.
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Refer to this link to learn more about [BOS:311](https://www.cityofboston.gov/311/).
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Boston 311 call data covers 311 nonemergency calls made to the Boston 311 call system. For more information, visit the [BOS:311](https://www.cityofboston.gov/311/) resource.
This dataset is stored in Parquet format. It is updated daily, and contains about 100-K rows (10 MB) in total as of 2019.
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This dataset contains historical records accumulated from 2011 to the present. You can use parameter settings in our SDK to fetch data within a specific time range.
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This dataset is stored in Parquet format. Starting in 2011, Boston provides its 311 data in different files, one file resource for each different year. The data is updated daily. The 2023 dataset contains about receives daily updates, and it contains about 313-K rows (179 MB) in total as of 2019. You can use parameter settings in our SDK to fetch data within a specific time range.
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## Storage location
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This dataset is stored in the East US Azure region. Allocating compute resources in East US is recommended for affinity.
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This dataset is stored in the East US Azure region. For affinity, we recommend allocation of compute resources in the East US region.
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## Additional information
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This dataset is sourced from city of Boston government. For more information, see [Boston's dataset site](https://data.boston.gov/dataset/311-service-requests). For dataset licensing, see [Open Data Commons Public Domain Dedication and License (ODC PDDL)](http://opendefinition.org/licenses/odc-pddl/).
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This dataset is sourced from the government of the City of Boston. For more information, visit the [Boston dataset site](https://data.boston.gov/dataset/311-service-requests). For dataset licensing information, visit the [Open Data Commons Public Domain Dedication and License (ODC PDDL)](http://opendefinition.org/licenses/odc-pddl/) resource.
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## Columns
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| Name | Data type | Unique | Values (sample) | Description |
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|-|-|-|-|-|
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| address | string | 140,612 |\"\" 1 City Hall Plz Boston MA 02108 | Location. |
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| category | string | 54 | Street Cleaning Sanitation | Reason of the service request. |
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| dataSubtype | string | 1 | 311_All |“311_All”|
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| dataType | string | 1 | Safety |“Safety”|
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| dataSubtype | string | 1 | 311_All |"311_All"|
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| dataType | string | 1 | Safety |"Safety"|
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| dateTime | timestamp | 1,529,075 | 2015-07-23 10:51:00 2015-07-23 10:47:00 | Open date and time of the service request. |
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| latitude | double | 1,622 | 42.3594 42.3603 | This is the latitude value. Lines of latitude are parallel to the equator. |
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| longitude | double | 1,806 | -71.0587 -71.0583 | This is the longitude value. Lines of longitude run perpendicular to lines of latitude, and all pass through both poles. |
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| Safety | 311_All | 4/27/2021 11:05:00 PM | Enforcement & Abandoned Vehicles | Parking Enforcement | Open | 1 Nassau St Boston MA 02111 | 42.3486 | -71.0629 | Constituent Call ||
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| Safety | 311_All | 4/27/2021 11:00:55 PM | Code Enforcement | Poor Conditions of Property | Open | 17 Mercer St South Boston MA 02127 | 42.3332 | -71.0492 | Citizens Connect App ||
# You need to pip install azureml-opendatasets in Databricks cluster. https://learn.microsoft.com/azure/data-explorer/connect-from-databricks#install-the-python-library-on-your-azure-databricks-cluster
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# You need to pip install azureml-opendatasets in a Databricks cluster. https://learn.microsoft.com/azure/data-explorer/connect-from-databricks#install-the-python-library-on-your-azure-databricks-cluster
Copy file name to clipboardExpand all lines: articles/sentinel/connect-threat-intelligence-upload-api.md
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# Connect your threat intelligence platform to Microsoft Sentinel with the upload indicators API
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Many organizations use threat intelligence platform (TIP) solutions to aggregate threat indicator feeds from various sources. From the aggregated feed, the data is curated to apply to security solutions such as network devices, EDR/XDR solutions, or SIEMs such as Microsoft Sentinel. The **Threat Intelligence Upload Indicators API**data connector allows you to use these solutions to import threat indicators into Microsoft Sentinel. This data connector uses the Sentinel upload indicators API to ingest threat intelligence indicators into Microsoft Sentinel. For more information, see [Threat Intelligence](understand-threat-intelligence.md).
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Many organizations use threat intelligence platform (TIP) solutions to aggregate threat indicator feeds from various sources. From the aggregated feed, the data is curated to apply to security solutions such as network devices, EDR/XDR solutions, or SIEMs such as Microsoft Sentinel. The **Threat Intelligence Upload Indicators API** allows you to use these solutions to import threat indicators into Microsoft Sentinel. The upload indicators API ingests threat intelligence indicators into Microsoft Sentinel without the need of the data connector. The data connector only mirrors the instructions for connecting to the API endpoint detailed in this article and the supplemental API reference document [Microsoft Sentinel upload indicators API](upload-indicators-api.md).
For more information about threat intelligence, see [Threat Intelligence](understand-threat-intelligence.md).
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> [!IMPORTANT]
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> The Microsoft Sentinel upload indicators API and **Threat Intelligence Upload Indicators API**data connector are in **PREVIEW**. See the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/) for additional legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability.
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> The Microsoft Sentinel **Threat Intelligence Upload Indicators API**is in **PREVIEW**. See the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/) for additional legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability.
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**See also**: [Connect Microsoft Sentinel to STIX/TAXII threat intelligence feeds](connect-threat-intelligence-taxii.md)
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## Prerequisites
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- In order to install, update and delete standalone content or solutions in content hub, you need the **Microsoft Sentinel Contributor** role at the resource group level.
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- In order to install, update and delete standalone content or solutions in content hub, you need the **Microsoft Sentinel Contributor** role at the resource group level. Keep in mind, you don't need to install the data connector to use the API endpoint.
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- You must have read and write permissions to the Microsoft Sentinel workspace to store your threat indicators.
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- You must be able to register a Microsoft Entra application.
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- The Microsoft Entra application must be granted the Microsoft Sentinel contributor role at the workspace level.
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1. Register a Microsoft Entra application and record its application ID.
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1. Generate and record a client secret for your Microsoft Entra application.
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1. Assign your Microsoft Entra application the Microsoft Sentinel contributor role or equivalent.
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1. Enable the Threat Intelligence upload API data connector in Microsoft Sentinel.
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1. Configure your TIP solution or custom application.
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<aname='register-an-azure-ad-application'></a>
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For more information on assigning roles to applications, see [Assign a role to the application](../active-directory/develop/howto-create-service-principal-portal.md#assign-a-role-to-the-application).
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## Enable the Threat Intelligence upload indicators API data connector in Microsoft Sentinel
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## Install the Threat Intelligence upload indicators API data connector in Microsoft Sentinel (optional)
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Enable the **Threat Intelligence Upload Indicators API** data connector to allow Microsoft Sentinel to receive threat indicators sent from your TIP or custom solution. These indicators are available to the Microsoft Sentinel workspace you configure.
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Install the **Threat Intelligence Upload Indicators API** data connector to see the API connection instructions from your Microsoft Sentinel workspace.
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1. For Microsoft Sentinel in the [Azure portal](https://portal.azure.com), under **Content management**, select **Content hub**. <br>For Microsoft Sentinel in the [Defender portal](https://security.microsoft.com/), select **Microsoft Sentinel** > **Content management** > **Content hub**.
> RHEL/Oracle Linux 6.10 is the only RHEL/OL 6 version with Extended Lifecycle Support available. [The extended maintenance ends on June 30, 2024](https://access.redhat.com/support/policy/updates/errata).
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- Azure Disk Encryption (guest VM encryption via Bitlocker/DM-Crypt) isn't supported for VMs with Premium SSD v2 disks. We recommend you to use encryption at rest with platform-managed or customer-managed keys, which is supported for Premium SSD v2.
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- Currently, Premium SSD v2 disks can't be attached to VMs in Availability Sets.
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- Azure Site Recovery isn't supported for VMs with Premium SSD v2 disks.
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- Azure Backup support for VMs with Premium SSD v2 disks is [generally available](/azure/backup/backup-support-matrix-iaas#vm-storage-support).
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- The size of a Premium SSD v2 can't be expanded without either deallocating the VM or detaching the disk.
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