Final fixes

madeline-underwood · madeline-underwood · commit c40e10211570 · 2025-08-20T12:05:00.000Z
diff --git a/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/baseline.md b/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/baseline.md
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+## Validate Apache Spark installation with a baseline test
 
 With Apache Spark installed successfully on your GCP C4A Arm-based virtual machine, you can now perform simple baseline testing to validate that Spark runs correctly and produces the expected output.
 
diff --git a/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/benchmarking.md b/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/benchmarking.md
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 title: Apache Spark performance benchmarks on Arm64 and x86_64 in Google Cloud
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diff --git a/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/instance.md b/content/learning-paths/servers-and-cloud-computing/spark-on-gcp/instance.md
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-## GHow to create a Google Axion C4A Arm VM on Google Cloud
+## How to create a Google Axion C4A Arm VM on Google Cloud
 
 In this section, you learn how to provision a **Google Axion C4A Arm virtual machine** on Google Cloud Platform (GCP) using the **c4a-standard-4 (4 vCPUs, 16 GB memory)** machine type in the **Google Cloud Console**.  
 
