A. Wrap the API call within a 'try...except' block. Inside the `except' block, use `time.sleep()' to introduce a delay, and then recursively call the function containing the API call until the maximum number of retries is reached. If all retries fail, log the error and re-raise the exception.

B. Implement a custom decorator function that handles retries. The decorator should catch exceptions from the API call, log the error, introduce a delay, and retry the API call until the maximum number of attempts is reached. Apply this decorator to the function containing the API call.

C. Use the `snowflake.snowpark.functions.call_udf function with the 'retry_count' parameter set to the desired number of retries. This will automatically handle retries for IJDF calls within the notebook.

D. Utilize the Snowflake Task's built-in error handling capabilities to automatically retry the task upon failure. Configure the task to retry a specific number of times with a specified delay between retries.

E. Use a dedicated Python library like 'tenacity' within the Snowflake Notebook. Configure `tenacity' to retry the API call with exponential backoff and custom exception handling. Log all retry attempts and final error messages.