diff --git a/docs/website/docs/dlt-ecosystem/destinations/synapse.md b/docs/website/docs/dlt-ecosystem/destinations/synapse.md
index ff46efb272..4d249e3d35 100644
--- a/docs/website/docs/dlt-ecosystem/destinations/synapse.md
+++ b/docs/website/docs/dlt-ecosystem/destinations/synapse.md
@@ -95,6 +95,36 @@ pipeline = dlt.pipeline(
     dataset_name='chess_data'
 )
 ```
+To use **Active Directory Principal**, you can use the `sqlalchemy.engine.URL.create` method to create the connection URL using your Active Directory Service Principal credentials. First create the connection string as:
+```py
+conn_str = (
+    f"DRIVER={{ODBC Driver 18 for SQL Server}};"
+    f"SERVER={server_name};"
+    f"DATABASE={database_name};"
+    f"UID={service_principal_id}@{tenant_id};"
+    f"PWD={service_principal_secret};"
+    f"Authentication=ActiveDirectoryServicePrincipal"
+)
+```
+
+Next, create the connection URL:
+```py
+connection_url = URL.create(
+    "mssql+pyodbc",
+    query={"odbc_connect": conn_str}
+)
+```
+
+Once you have the connection URL, you can directly use it in your pipeline configuration or convert it to a string.
+```py
+pipeline = dlt.pipeline(
+    pipeline_name='chess',
+    destination=dlt.destinations.synapse(
+        credentials=connection_url.render_as_string(hide_password=True)
+    ),
+    dataset_name='chess_data'
+)
+```
 
 ## Write disposition
 All write dispositions are supported.