fix warning

Author: likebupt

articles/machine-learning/prompt-flow/how-to-troubleshoot-prompt-flow-deployment.md

@@ -73,7 +73,7 @@ Could not find driver program in the request
 
 There are 2 ways to fix this error.
 
-1. (Recommended) You can find the container image uri in your custom environment detail page, and set it as the flow base image in the flow.dag.yaml file. When you deploy the flow in UI, you just select **Use environment of current flow definition**, and the backend service will create the customized environment based on this base image and `requirement.txt` for your deployment. Learn more about [the environment specified in the flow definition](#use-environment-of-current-flow-definition). 
+1. (Recommended) You can find the container image uri in your custom environment detail page, and set it as the flow base image in the flow.dag.yaml file. When you deploy the flow in UI, you just select **Use environment of current flow definition**, and the backend service will create the customized environment based on this base image and `requirement.txt` for your deployment. Learn more about [the environment specified in the flow definition](how-to-deploy-for-real-time-inference.md#use-environment-of-current-flow-definition). 
 
     :::image type="content" source="./media/how-to-deploy-for-real-time-inference/custom-environment-image-uri.png" alt-text="Screenshot of custom environment detail page. " lightbox = "./media/how-to-deploy-for-real-time-inference/custom-environment-image-uri.png":::
 
@@ -118,12 +118,12 @@ After you deploy the endpoint and want to test it in the **Test tab** in the end
 
 :::image type="content" source="./media/how-to-deploy-for-real-time-inference/unable-to-fetch-deployment-schema.png" alt-text="Screenshot of the error unable to fetch deployment schema in Test tab in endpoint detail page. " lightbox = "./media/how-to-deploy-for-real-time-inference/unable-to-fetch-deployment-schema.png":::
 
-- Make sure you have granted the correct permission to the endpoint identity. Learn more about [how to grant permission to the endpoint identity](#grant-permissions-to-the-endpoint).
+- Make sure you have granted the correct permission to the endpoint identity. Learn more about [how to grant permission to the endpoint identity](how-to-deploy-for-real-time-inference.md#grant-permissions-to-the-endpoint).
 - It might be because you ran your flow in an old version runtime and then deployed the flow, the deployment used the environment of the runtime which was in old version as well. Update the runtime following [this guidance](./how-to-create-manage-runtime.md#update-a-runtime-on-the-ui) and rerun the flow in the latest runtime and then deploy the flow again.
 
 ## Access denied to list workspace secret
 
-If you encounter an error like "Access denied to list workspace secret", check whether you have granted the correct permission to the endpoint identity. Learn more about [how to grant permission to the endpoint identity](#grant-permissions-to-the-endpoint).
+If you encounter an error like "Access denied to list workspace secret", check whether you have granted the correct permission to the endpoint identity. Learn more about [how to grant permission to the endpoint identity](how-to-deploy-for-real-time-inference.md#grant-permissions-to-the-endpoint).
 
 ## Next steps