def METHOD_NAME():
    """
    API Endpoint to use S3 Presigned URLs to retrieve result files from S3 given an execution id
    Most training requests will output 3 file types:
      * dl_results.csv: Performance of user's model over each epoch
      * model.pt: File storing pytorch weights of the DL model
      * my_deep_learning_model.onnx: A convenient file in Pytorch that lets users visualize the architecture of their model
    Params:
      - exec_id: Execution Id
    Results:
      - 200: Successfully retrieved result files
      - 400: Something went wrong in retrieving the training result files. Maybe execution id was specified incorrectly or
      there was a problem with updating the execution db in Dynamo DB
    """
    try:
        request_data = json.loads(request.data)
        exec_id = request_data["exec_id"]
        dl_results = get_presigned_url_from_exec_file(
            EXECUTION_BUCKET_NAME, exec_id, "dl_results.csv"
        )
        model_pt = get_presigned_url_from_exec_file(
            EXECUTION_BUCKET_NAME, exec_id, "model.pt"
        )
        model_onnx = get_presigned_url_from_exec_file(
            EXECUTION_BUCKET_NAME, exec_id, "my_deep_learning_model.onnx"
        )
        return send_success(
            {"dl_results": dl_results, "model_pt": model_pt, "model_onnx": model_onnx}
        )
    except Exception:
        print(traceback.format_exc())
        return send_traceback_error()