A payment processing company records customer voice calls and stores the audio files in an Amazon S3 bucket. The company needs to extract text from the audio files and remove any personally identifiable information (PII) from the transcriptions. What should a solutions architect do to meet these requirements?

The correct solution leverages Amazon Transcribe's built-in PII redaction capabilities, which directly addresses the requirement to remove PII. An S3 event notification can trigger a Lambda function when a new audio file is uploaded. This Lambda function then initiates an Amazon Transcribe job with PII redaction enabled, and the output is stored in a designated S3 bucket. Incorrect options: Amazon Kinesis Video Streams is for real-time video and audio processing, not for batch processing of existing audio files in S3. Manually scanning for PII patterns with Lambda is less efficient and robust than Transcribe's specialized PII redaction. Amazon Textract is designed for extracting text from documents and images, not for transcribing audio files. Amazon Connect is a cloud contact center service and is not the primary service for transcribing and redacting PII from standalone audio files stored in S3. While it can transcribe calls, it's not the most direct or efficient solution for this specific use case.