edits

v-albemi · v-albemi · commit 14a9babb3566 · 2025-06-06T14:16:37.000-07:00
diff --git a/articles/machine-learning/how-to-create-component-pipelines-cli.md b/articles/machine-learning/how-to-create-component-pipelines-cli.md
@@ -189,7 +189,7 @@ The environment is the environment in which the component runs. It could be an A
 
 Although some components are specific to a particular pipeline, the real benefit of components comes from reuse and sharing. You can register a component in your Machine Learning workspace to make it available for reuse. Registered components support automatic versioning so you can update the component but ensure that pipelines that require an older version will continue to work.  
 
-In the `azureml-examples repository`, go to the `cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components` directory. 
+In the azureml-examples repository, go to the `cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components` directory. 
 
 To register a component, use the `az ml component create` command:
 
