Merge pull request #176261 from MicrosoftDocs/master

10/18 OOB publish

Author: huypub

articles/applied-ai-services/form-recognizer/concept-invoice.md

@@ -106,6 +106,24 @@ You can see how invoice data is extracted by trying our Sample Labeling tool. Yo
 | ServiceEndDate | date | End date for the service period (for example, a utility bill service period) | yyyy-mm-dd|
 | PreviousUnpaidBalance | number | Explicit previously unpaid balance | integer |
 
+### Line items
+
+Following are the line items extracted from an invoice in the JSON output response (the output below uses this [sample invoice](media/sample-invoice.jpg))
+
+|Name| Type | Description | Text (line item #1) | Value (standardized output) |
+|:-----|:----|:----|:----| :----|
+| Items | string | Full string text line of the line item | 3/4/2021 A123 Consulting Services 2 hours $30.00 10% $60.00 | |
+| Amount | number | The amount of the line item | $60.00 | 100 |
+| Description | string | The text description for the invoice line item | Consulting service | Consulting service |
+| Quantity | number | The quantity for this invoice line item | 2 | 2 |
+| UnitPrice | number | The net or gross price (depending on the gross invoice setting of the invoice) of one unit of this item | $30.00 | 30 |
+| ProductCode | string| Product code, product number, or SKU associated with the specific line item | A123 | |
+| Unit | string| The unit of the line item, e.g,  kg, lb etc. | hours | |
+| Date | date| Date corresponding to each line item. Often it is a date the line item was shipped | 3/4/2021| 2021-03-04 |
+| Tax | number | Tax associated with each line item. Possible values include tax amount, tax %, and tax Y/N | 10% | |
+
+The invoice key-value pairs and line items extracted are in the `documentResults` section of the JSON output. 
+
 ## Form Recognizer preview v3.0
 
  The Form Recognizer preview introduces several new features and capabilities.

articles/iot-hub/tutorial-x509-self-sign.md

@@ -14,10 +14,7 @@ ms.custom: [mvc, 'Role: Cloud Development', 'Role: Data Analytics']
 
 # Tutorial: Using OpenSSL to create self-signed certificates
 
-You can authenticate a device to your IoT Hub using two self-signed device certificates. This is sometimes called thumbprint authentication because the certificates contain thumbprints (hash values) that you submit to the IoT hub. The following steps tell you how to create two self-signed certificates.
-
-> [!NOTE]
-> This example was created using Cygwin64 for Windows. Cygwin is an open source tool collection that allows Unix or Linux applications to be run on Windows from within a Linux-like interface. CygWin64 is bundled with OpenSSL. If you are using Linux, you probably already have OpenSSL installed. 
+You can authenticate a device to your IoT Hub using two self-signed device certificates. This is sometimes called thumbprint authentication because the certificates contain thumbprints (hash values) that you submit to the IoT hub. The following steps tell you how to create two self-signed certificates. This type of certificate is mainly used for testing.
 
 ## Step 1 - Create a key for the first certificate
 
@@ -105,4 +102,8 @@ Navigate to your IoT Hub in the Azure portal and create a new IoT device identit
 
 ## Next Steps
 
-Go to [Testing Certificate Authentication](tutorial-x509-test-certificate.md) to determine if your certificate can authenticate your device to your IoT Hub.
+Go to [Testing Certificate Authentication](tutorial-x509-test-certificate.md) to determine if your certificate can authenticate your device to your IoT Hub. The code on that page requires that you use a PFX certificate. Use the following OpenSSL command to convert your device .crt certificate to .pfx format.
+
+```bash
+openssl pkcs12 -export -in device.crt -inkey device.key -out device.pfx
+```

articles/media-services/previous/media-services-specifications-live-timed-metadata.md

@@ -80,7 +80,7 @@ The following documents contain provisions, which, through reference in this tex
 | [MS-SSTR-Ingest]  | [Azure Media Services Fragmented MP4 Live Ingest Specification](./media-services-fmp4-live-ingest-overview.md)                                                      |
 | [RFC8216]         | R. Pantos, Ed.; W. May. HTTP Live Streaming. August 2017. Informational. [https://tools.ietf.org/html/rfc8216](https://tools.ietf.org/html/rfc8216)                                                            |
 | [RFC4648]         | The Base16, Base32, and Base64 Data Encodings - [https://tools.ietf.org/html/rfc4648](https://tools.ietf.org/html/rfc4648)                                                                                     |
-| [RTMP]            | ["Adobe's Real-Time Messaging Protocol", December 21, 2012](https://www.adobe.com/devnet/rtmp.html)                                                                                                            |
+| [RTMP]            | ["Adobe's Real-Time Messaging Protocol", December 21, 2012](https://rtmp.veriskope.com/docs/spec/)                                                                                                            |
 | [SCTE-35-2019]    | SCTE 35: 2019 - Digital Program Insertion Cueing Message for Cable - https://scte-cms-resource-storage.s3.amazonaws.com/ANSI_SCTE-35-2019a-1582645390859.pdf                                                                       |
 | [SCTE-214-1]      | SCTE 214-1 2016 – MPEG DASH for IP-Based Cable Services Part 1: MPD Constraints and Extensions                                                                                                                 |
 | [SCTE-214-3]      | SCTE 214-3 2015 MPEG DASH for IP-Based Cable Services Part 3: DASH/FF Profile                                                                                                                                  |

articles/virtual-machine-scale-sets/TOC.yml

@@ -190,7 +190,7 @@
   - name: Endorsed Linux distros
     href: ../virtual-machines/linux/endorsed-distros.md
     maintainContext: true
-  - name: Orchestration modes (preview)
+  - name: Orchestration modes
     items:
     - name: Overview 
       href: virtual-machine-scale-sets-orchestration-modes.md

articles/virtual-machine-scale-sets/orchestration-modes-api-comparison.md

@@ -10,15 +10,10 @@ ms.reviewer: jushiman
 ms.custom: mimckitt, devx-track-azurecli, vmss-flex
 ---
 
-# Preview: Orchestration modes API comparison 
+# Orchestration modes API comparison 
 
 This article compares the API differences between Uniform and [Flexible orchestration](..\virtual-machines\flexible-virtual-machine-scale-sets.md) modes for virtual machine scale sets. To learn more about Uniform and Flexible virtual machine scale sets, see [orchestration modes](virtual-machine-scale-sets-orchestration-modes.md).
 
-> [!IMPORTANT]
-> Virtual machine scale sets in Flexible orchestration mode is currently in public preview. An opt-in procedure is needed to use the public preview functionality described below.
-> This preview version is provided without a service level agreement and is not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
-
 
 ## Instance view
 
@@ -61,7 +56,7 @@ Invoke Single VM APIs:
 
 ### Uniform API
 `VMSS List Instances`: 
-- Returns the scale set ID associated with each instance during this preview 
+- Returns the scale set ID associated with each instance
 
 ### Flexible alternative
 Azure Resource Graph: 
@@ -90,6 +85,8 @@ Virtual machine scale sets Operations:
 ### Flexible alternative
 Invoke operations on individual VMs.
 
+Virtual machines Operations:
+- [Reimage](/rest/api/compute/virtual-machines/reimage): invoke single VM API - Reimage on Ephemeral OS VMs only
 
 ## VM extension
 

articles/virtual-machine-scale-sets/overview.md

@@ -11,8 +11,11 @@ ms.reviewer: mimckitt
 
 ---
 # What are virtual machine scale sets?
+
 Azure virtual machine scale sets let you create and manage a group of load balanced VMs. The number of VM instances can automatically increase or decrease in response to demand or a defined schedule. Scale sets provide high availability to your applications, and allow you to centrally manage, configure, and update a large number of VMs. With virtual machine scale sets, you can build large-scale services for areas such as compute, big data, and container workloads.
 
+> [!IMPORTANT]
+> This article is about virtual machine scale sets in Uniform orchestration mode. To learn more about Flexible scale sets, go to [Flexible orchestration mode for virtual machine scale sets](../virtual-machines/flexible-virtual-machine-scale-sets.md).
 
 ## Why use virtual machine scale sets?
 To provide redundancy and improved performance, applications are typically distributed across multiple instances. Customers may access your application through a load balancer that distributes requests to one of the application instances. If you need to perform maintenance or update an application instance, your customers must be distributed to another available application instance. To keep up with extra customer demand, you may need to increase the number of application instances that run your application.