A media company needs to transcode video files that are uploaded by users. The company wants to use GCP for this task. The system should be able to scale based on the number of files uploaded, and it also needs to integrate with an existing machine learning model for content moderation. Which combination of GCP services should be used?

*Explanation:* Cloud Run with Auto ML Video and Cloud Pub/Sub. Cloud Functions may not be suitable for heavy computational tasks like video transcoding. App Engine is not designed for heavy computational tasks, and Video Intelligence API is not suited for custom models. Compute Engine does not provide auto-scaling based on the number of files. Cloud Run, on the other hand, can auto-scale and Auto ML Video can handle content moderation, making it the right choice for this task. Kubernetes Engine might be overkill for this use case.