In Vertex AI, to enable logging for predictions, you must undeploy and then redeploy your model with logging enabled. This is because logging settings cannot be dynamically adjusted post-deployment. There are two main types of logs: Container logging, which captures detailed information from the containers hosting your model, including system outputs and errors, and is essential for debugging; and Access logging, which records access and latency information but does not provide detailed debugging information. Therefore, the correct actions are to undeploy and redeploy the model to enable logging and to implement Container logging. Options suggesting enabling logs dynamically or solely using Access logging are incorrect as they do not provide the detailed logs needed for debugging. For more information, refer to the Vertex AI documentation on logging.