A company has a media metadata extraction pipeline running on AWS. Notifications containing a reference to a file in Amazon S3 are sent to an Amazon Simple Notification Service (Amazon SNS) topic. The pipeline consists of a number of AWS Lambda functions that are subscribed to the SNS topic. The Lambda functions extract the S3 tile and write metadata to an Amazon RDS PostgreSQL DB instance. Users report that updates to the metadata are sometimes slow to appear or are lost. During these times, the CPU utilization on the database is high and the number of failed Lambda invocations increases. Which combination of actions should a solutions architect take to help resolve this issue? (Choose two.)

Topic #: - All AWS Certified Solutions Architect - Professional Questions

A. Enable message delivery status on the SNS topic. Configure the SNS topic delivery policy to enable retries with exponential backoff.
B. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue and subscribe the queue to the SNS topic. Configure the Lambda functions to consume messages from the SQS queue.
C. Create an RDS proxy for the RDS instance. Update the Lambda functions to connect to the RDS instance using the proxy. Most Voted
D. Enable the RDS Data API for the RDS instance. Update the Lambda functions to connect to the RDS instance using the Data API.
E. Create an Amazon Simple Queue Service (Amazon SQS) standard queue for each Lambda function and subscribe the queues to the SNS topic. Configure the Lambda functions to consume messages from their respective SQS queue. Most Voted

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