Merge pull request #95371 from v-maudel/patch-352

M44869: Removing extra parenthesis

Author: PRMerger14

articles/azure-monitor/app/app-map.md

@@ -231,7 +231,7 @@ Alternatively, **cloud role instance** can be helpful for scenarios where **clou
 
 A scenario where you might want to override the value for cloud role instance could be if your app is running in a containerized environment where just knowing the individual server might not be enough information to locate a given issue.
 
-For more information about how to override the cloud role name property with telemetry initializers, see [Add properties: ITelemetryInitializer](api-filtering-sampling.md#add-properties-itelemetryinitializer).
+For more information about how to override the cloud role name property with telemetry initializers, see [Add properties: ITelemetryInitializer](api-filtering-sampling.md#addmodify-properties-itelemetryinitializer).
 
 ## Troubleshooting
 

articles/azure-monitor/app/sampling.md

@@ -535,7 +535,7 @@ apply sampling to those items already sampled in the SDK itself.'
 
 *There are certain rare events I always want to see. How can I get them past the sampling module?*
 
-* The best way to achieve this is to write a custom [TelemetryInitializer](../../azure-monitor/app/api-filtering-sampling.md#add-properties-itelemetryinitializer), which sets the `SamplingPercentage` to 100 on the telemetry item you want retained, as shown below. As initializers are guaranteed to be run before telemetry processors (including sampling), this ensures that all sampling techniques will ignore this item from any sampling considerations.
+* The best way to achieve this is to write a custom [TelemetryInitializer](../../azure-monitor/app/api-filtering-sampling.md#addmodify-properties-itelemetryinitializer), which sets the `SamplingPercentage` to 100 on the telemetry item you want retained, as shown below. As initializers are guaranteed to be run before telemetry processors (including sampling), this ensures that all sampling techniques will ignore this item from any sampling considerations.
 
 ```csharp
      public class MyTelemetryInitializer : ITelemetryInitializer

articles/cognitive-services/Custom-Vision-Service/iot-visual-alerts-tutorial.md

@@ -113,7 +113,7 @@ To repeat this process with your own scenario:
 
 Once the app downloads the trained model, it will switch to the **Scoring** state and start scoring images from the camera in a continuous loop.
 
-For each captured image, the app will display the top tag on the screen. If it doesn't recognize the visual state, it will display **No Matches**). The app also sends these messages to the IoT Hub, and if there is a class being detected, the message will include the label, the confidence score, and a property called `detectedClassAlert`, which can be used by IoT Hub clients interested in doing fast message routing based on properties.
+For each captured image, the app will display the top tag on the screen. If it doesn't recognize the visual state, it will display **No Matches**. The app also sends these messages to the IoT Hub, and if there is a class being detected, the message will include the label, the confidence score, and a property called `detectedClassAlert`, which can be used by IoT Hub clients interested in doing fast message routing based on properties.
 
 In addition, the sample uses a [Sense HAT library](https://github.com/emmellsoft/RPi.SenseHat) to detect when it's running on a Raspberry Pi with a Sense HAT unit, so it can use it as an output display by setting all display lights to red whenever it detects a class and blank when it doesn't detect anything.
 
@@ -140,4 +140,4 @@ In this tutorial, you set up and ran an application that detects visual state in
 
 * Add an IoT Hub method to switch the app directly to the **Waiting For Trained Model** state. This way, you can train the model with images that aren't captured by the device itself and then push the new model to the device on command.
 * Follow the [Visualize real-time sensor data](https://docs.microsoft.com/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi) tutorial to create a Power BI Dashboard to visualize the IoT Hub alerts sent by the sample.
-* Follow the [IoT remote monitoring](https://docs.microsoft.com/azure/iot-hub/iot-hub-monitoring-notifications-with-azure-logic-apps) tutorial to create a Logic App that responds to the IoT Hub alerts when visual states are detected.
+* Follow the [IoT remote monitoring](https://docs.microsoft.com/azure/iot-hub/iot-hub-monitoring-notifications-with-azure-logic-apps) tutorial to create a Logic App that responds to the IoT Hub alerts when visual states are detected.