You have recently deployed a model to a Vertex AI endpoint, and you are encountering frequent data drift. To address this, you have enabled request-response logging and established a Vertex AI Model Monitoring job. However, you've noticed that your model is receiving higher traffic than initially anticipated. Your goal is to reduce the cost of model monitoring while still maintaining the ability to promptly detect drift. What step should you take?