A company wants to use AI to evaluate the quality of customer service calls. Calls are managed in four languages including English, and more languages will be added later. The company cannot maintain custom ML models and needs written sentiment analysis reports from call recordings; recorded text must be translated into English. Which combination of steps meets these requirements? (Choose three.)

The correct solution involves a three-step process using AWS AI services. First, Amazon Transcribe is used to convert the audio recordings into text. Transcribe supports multiple languages and can identify the language spoken, which is crucial for the company's multi-lingual needs. Second, Amazon Translate is then used to translate the transcribed text from any language into English. This meets the requirement for all recorded text to be translated into English. Finally, Amazon Comprehend is employed to perform sentiment analysis on the English text, generating the required sentiment analysis reports. Comprehend is a natural language processing (NLP) service that can detect sentiment without needing custom ML models, fulfilling another key requirement. Incorrect options: Amazon Comprehend does not translate audio recordings; it performs NLP tasks on text. Amazon Lex is a service for building conversational interfaces (chatbots), not for generating sentiment analysis reports. Amazon Polly converts text to speech, which is the opposite of what's needed here.