chore: address metadata and README items

Author: aBurmeseDev

.doc_gen/metadata/s3-control_metadata.yaml

@@ -212,7 +212,7 @@ s3-control_Basics:
           excerpts:
             - description: Learn S3 Batch Basics Scenario.
               snippet_tags:
-                - python.example_code.s3control.Batch.scenario
+                - python.example_code.s3control.helper.S3BatchScenario
   services:
     s3-control:
       {

python/example_code/s3/scenarios/batch/README.md

@@ -40,12 +40,12 @@ To run these examples, you need:
 To run this workflow, pull AWS tokens and run the command below:
 
 ```bash
-python s3_batch.py
+python s3_batch_scenario.py
 ```
 
 ## Additional resources
 
-- [Amazon S3 Developer Guide](https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html)
+- [Amazon S3 Developer Guide](https://docs.aws.amazon.com/AmazonS3/latest/userguide/batch-ops-create-job.html)
 - [Amazon S3 API Reference](https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html)
 - [boto3 Amazon S3 reference](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html)
 

python/example_code/s3/scenarios/batch/s3_batch_wrapper.py

@@ -306,6 +306,7 @@ def update_job_priority(self, job_id: str, account_id: str) -> None:
             return
     # snippet-end:[python.example_code.s3control.update_job_priority]
 
+    # snippet-start:[python.example_code.s3control.update_job_status]
     def cancel_job(self, job_id: str, account_id: str) -> None:
         """
         Cancel an S3 batch job.
@@ -324,6 +325,7 @@ def cancel_job(self, job_id: str, account_id: str) -> None:
         except ClientError as e:
             print(f"Error canceling job: {e}")
             raise
+    # snippet-end:[python.example_code.s3control.update_job_status]
 
     # snippet-start:[python.example_code.s3control.describe_job]
     def describe_job_details(self, job_id: str, account_id: str) -> None: