You are a machine learning engineer managing an ML aws video
machine-learning video for you are a machine learning engineer managing an ML model deployed on Amazon SageMaker to provide real-time predictions for a
Full Certification Question
You are a machine learning engineer managing an ML model deployed on Amazon SageMaker to provide real-time predictions for a financial application. The model is critical for fraud detection and must operate with high availability and low latency. Recently, users have reported increased latency in receiving predictions, and there have been occasional timeout errors. To maintain the performance and reliability of the model, you need to configure monitoring and alerting tools to troubleshoot and resolve these issues promptly. Which of the following approaches is the MOST EFFECTIVE for configuring and using Amazon CloudWatch tools to troubleshoot and analyze the performance of your ML solution?