message: Grammar review
diff: @@ -23,7 +23,7 @@ Follow these instructions to use this example as an `Invoke Azure Function` chec
  1. Deploy the `AzureFunctionBasicHandler` Azure Function
  2. In your Azure Pipelines, create a new [`Environment`](https://learn.microsoft.com/azure/devops/pipelines/process/environments) called _Demo_ with no resources
  3. Add a Check of type `Invoke Azure Function` to _Demo_ with the following configuration:
  - 1. _Azure function URL_: the URL of the Azure Function deployed in Step 1, for example, https://azurefunctionbasichandler.azurewebsites.net/api/MyBasicFunction. You can get this URL when you do _Copy Function Url_ in Visual Studio Code
  + 1. _Azure function URL_: the URL of the Azure Function deployed in Step 1, for example, https://azurefunctionbasichandler.azurewebsites.net/api/MyBasicFunction. You can get this URL using _Copy Function Url_ in Visual Studio Code
  2. _Function key_: a secret used to access the Azure Function, for example, the value of the _code_ query parameter after you do _Copy Function Url_ in Visual Studio Code
  3. _Headers_:
  ```json
  @@ -44,7 +44,7 @@ Follow these instructions to use this example as an `Invoke Azure Function` chec
  3. In the _Advanced_ section, choose _Callback_ as completion event. This makes the check run asynchronously
  4. In the _Control options_ section:
  1. Set _Time between evaluations (minutes)_ to 0
  - 2. Set _Timeout (minutes)_ to 5, so that build times out quickly
  + 2. Set _Timeout (minutes)_ to 5, so that the build times out quickly
  5. Your configuration should look like in the following screenshot<br/>
  ![Configuration settings for basic async Invoke Azure Function check](Pictures/BasicCheckAsyncConfiguration.png?raw=true)
  @@ -70,6 +70,6 @@ stages:
  - script: echo "Deploying to Demo"
  ```
  2. _Save and run_ your pipeline
  -3. Go to your pipeline's run details page, authorize it to use the _Demo_ environment
  +3. Go to your pipeline's run details page, and authorize it to use the _Demo_ environment
  4. Wait for your pipeline to run successfully
  5. Click on _1 check passed_ and explore the logs of your Invoke Azure Function check
  