What should a solutions architect do to meet these requirements?
Process the audio files by using Amazon Kinesis Video Streams. Use an AWS Lambda function to scan for known PII patterns.
When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start an Amazon Textract task to analyze the call recordings.
Configure an Amazon Transcribe transcription job with PII redaction turned on. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start the transcription job. Store the output in a separate S3 bucket.
Create an Amazon Connect contact flow that ingests the audio files with transcription turned on. Embed an AWS Lambda function to scan for known PII patterns. Use Amazon EventBridge (Amazon CloudWatch Events) to start the contact flow when an audio file is uploaded to the S3 bucket.
Explanations:
Kinesis Video Streams is primarily for video and not suitable for audio transcription. Additionally, scanning for PII patterns is not integrated directly with audio processing in this context.
Amazon Textract is designed for extracting text from documents, not for audio files. This option would not fulfill the requirement of transcribing audio into text.
Amazon Transcribe can convert audio to text and offers PII redaction features. This option allows for automatic processing of audio files upon upload, ensuring that PII is removed from the transcribed text.
Amazon Connect is not the appropriate service for processing audio files stored in S3 in this context. While it can handle calls, it does not offer direct integration for S3 file uploads in the way required here.
I outline that the answer is:
Configure an Amazon Transcribe transcription job with PII redaction turned on. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start the transcription job. Store the output in a separate S3 bucket.