Store the API keys and access tokens in plain text within the notebooks and manually adjust request intervals to manage API rate limits, despite the security risks and potential for human error.

Utilize Databricks secrets management for secure storage of API keys and access tokens, and implement a retry mechanism with exponential backoff to efficiently handle API rate limits.

Develop a custom encryption solution for API keys and access tokens, store them in a shared storage accessible to all notebooks, and manually monitor API usage to avoid exceeding rate limits.

Pass API keys and access tokens as environment variables in the notebooks and rely on a basic script to pause requests when nearing rate limits, without implementing secure storage or advanced retry logic.