diff --git a/docs/fundamentals/code-analysis/code-quality-rule-options.md b/docs/fundamentals/code-analysis/code-quality-rule-options.md
index 9aa8cec9a55f1..f3ebbf2e22015 100644
--- a/docs/fundamentals/code-analysis/code-quality-rule-options.md
+++ b/docs/fundamentals/code-analysis/code-quality-rule-options.md
@@ -4,7 +4,7 @@ description: Learn how to specify additional configuration options for code qual
 ms.date: 05/19/2023
 no-loc: ["EditorConfig"]
 ---
-# Code quality rule configuration options
+# Code quality rule configuration options - test
 
 The *code quality* rules have additional configuration options, besides just [configuring their severity](configuration-options.md#severity-level). For example, each code quality analyzer can be configured to only apply to specific parts of your codebase. You specify these options by adding key-value pairs to the same [EditorConfig](https://editorconfig.org) file where you specify rule severities and general editor preferences.
 
diff --git a/docs/machine-learning/automate-training-with-cli.md b/docs/machine-learning/automate-training-with-cli.md
index f1b1394ea2619..5a21077c7765c 100644
--- a/docs/machine-learning/automate-training-with-cli.md
+++ b/docs/machine-learning/automate-training-with-cli.md
@@ -5,7 +5,7 @@ ms.date: 11/10/2022
 ms.custom: how-to, mlnet-tooling
 #Customer intent: As a developer, I want to use ML.NET CLI to automatically train the "best model" from the command-prompt. I also want to understand the output provided by the tool (metrics and output assets)
 ---
-# Automate model training with the ML.NET CLI
+# Automate model training with the ML.NET CLI - test
 
 The ML.NET CLI automates model generation for .NET developers.