You are working on implementing a speech-to-text solution that can perform diarization for multi-speaker. It is also required that speakers in conversation are distinguished along with the time. 
Which of the below listed will help us implement this solution?

Answer options:

A.Speech-to-text SDK.
B.Speech-to-text API
C.Conversation Transcription
D.Batch Transcription

Corrcet Answer: C
Option A is INCORRECT. Speech SDK helps to develop speech-enabled applications. However, it is not suited for the transcription in scenarios as detailed in the question.
Option B is INCORRECT. Speech to text API is an ideal fit when we cannot use Speech SDK. Below are the important points to be considered while using Speech to text API.
- Only up to 60 seconds of audio could be contained for requests using REST API and transmitting audio directly. 
- Partial results are not available when we use speech-to-text API. Only the final results are available. Option C is CORRECT. Conversation Transcription is a speech-to-text solution that provides real-time and asynchronous transcription of conversation. Conversation Transcription has the below features
- speech recognition 
- speaker identification 
- sentence attribution to speaker (also known as diarization) Option D is INCORRECT. Set of REST API operations, the Batch transcription API, enables transcription of audio stored in storage. The transcription results could be asynchronously received by simply referring to audio storage by a typical URI or a shared access signature (SAS) URI.
References: 

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-sdk
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-speech-to-text
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/speech-service/conversation-transcription
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription