Develop Data Transforms: Ensure learning objective attributes inside single source tag (#1606)

Author: kbatuigas

modules/develop/pages/data-transforms/build.adoc

@@ -3,10 +3,10 @@
 :page-categories: Development, Stream Processing, Data Transforms
 :page-topic-type: how-to
 :personas: streaming_developer, application_developer
+// tag::single-source[]
 :learning-objective-1: Initialize a data transforms project using the rpk CLI
 :learning-objective-2: Build transform functions that process records and write to output topics
 :learning-objective-3: Implement multi-topic routing patterns with Schema Registry integration
-// tag::single-source[]
 
 {description}
 
@@ -513,7 +513,7 @@ output_topics:
 
 The transform extracts each update and routes it to the appropriate topic based on the `table` field. Schemas are registered dynamically in the `main()` function using the Schema Registry client, which returns the schema IDs needed for encoding messages in the wire format.
 
-NOTE: In this example, it is assumed that you have created the output topics and have the schema definitions ready. The transform registers the schemas dynamically on startup using the `{topic-name}-value` naming convention for schema subjects (for example, `orders-value`, `inventory-value`).
+NOTE: In this example, it is assumed that you have created the output topics and have the schema definitions ready. The transform registers the schemas dynamically on startup using the `\{topic-name}-value` naming convention for schema subjects (for example, `orders-value`, `inventory-value`).
 
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