Update apache-spark-cdm-connector.md

Author: kecheung

articles/synapse-analytics/spark/data-sources/apache-spark-cdm-connector.md

@@ -234,7 +234,7 @@ Once permissions are created, you can pass the app ID, app key, and tenant ID to
 
 The following examples all use appId, appKey and tenantId variables initialized earlier in the code based on an Azure app registration that has been given Storage Blob Data Contributor permissions on the storage for write and Storage Blob Data Reader permissions for read.
 
-## Read
+### Read
 
 This code reads the Person entity from the CDM folder with manifest in `mystorage.dfs.core.windows.net/cdmdata/contacts/root.manifest.cdm.json`.
 
@@ -246,7 +246,7 @@ val df = spark.read.format("com.microsoft.cdm")
  .load()
 ```
 
-## Implicit Write – using dataframe schema only
+### Implicit Write – using dataframe schema only
 
 This code writes the dataframe _df_ to a CDM folder with a manifest to `mystorage.dfs.core.windows.net/cdmdata/Contacts/default.manifest.cdm.json` with an Event entity.
 
@@ -265,7 +265,7 @@ df.write.format("com.microsoft.cdm")
  .save()
 ```
 
-## Explicit Write - using an entity definition stored in ADLS
+### Explicit Write - using an entity definition stored in ADLS
 
 This code writes the dataframe _df_ to a CDM folder with manifest at
 `https://_mystorage_.dfs.core.windows.net/cdmdata/Contacts/root.manifest.cdm.json` with the entity Person. Person data is written as new CSV files (by default) which overwrite existing files in the folder.