Consult user data available and any findings from user studies to determine if we should simplify our input to create_translation_job to optimize for the use case of only one source and target.

This currently requires you to import and instantiate a few objects

    from azure.ai.translation.document import (
        DocumentTranslationClient,
        DocumentTranslationInput,
        TranslationTarget
    )

    client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))

    job = client.create_translation_job(inputs=[
            DocumentTranslationInput(
                source_url=source_container_url,
                targets=[
                    TranslationTarget(
                        target_url=target_container_url,
                        language_code="es"
                    )
                ]
            )
        ]
    )

Some ideas - we could consider "overloading" the method itself or accepting additional kwargs in DocumentTranslationInput.

1. def create_translation_job(**kwargs):

• requires inputs. Must pass inputs if you need to pass more than one source and/or target.
• requires source_url, target_url, and language_code along with any other optional kwargs

2. DocumentTranslationInput takes kwargs target_url and language_code. Consider other optional kwargs. Must supply targets if planning on passing more than one target in.