Link fixed.

Author: v-rajagt-zz

articles/machine-learning/how-to-deploy-with-triton.md

@@ -48,7 +48,7 @@ Before attempting to use Triton for your own model, it's important to understand
 
 ### Setting the number of workers
 
-To set the number of workers in your deployment, set the environment variable `WORKER_COUNT`. Given you have an [Environment](/python/api/azureml-core/azureml.core.environment.environment?view=azure-ml-py) object called `env`, you can do the following:
+To set the number of workers in your deployment, set the environment variable `WORKER_COUNT`. Given you have an [Environment](/python/api/azureml-core/azureml.core.environment.environment?view=azure-ml-py&preserve-view=true) object called `env`, you can do the following:
 
 ```{py}
 env.environment_variables["WORKER_COUNT"] = "1"