Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are building a contact-center analytics dashboard. VoIP audio streams must be transcribed in real time with automatic punctuation and speaker diarization, so supervisors can view live captions that identify each agent and customer. Latency must stay below two seconds and you prefer not to train custom models. Which Azure AI service should you use?
Integrate the Azure AI Speech service by calling its real-time speech-to-text endpoint.
Send the streams to Azure Video Indexer to extract the spoken words and speakers.
Process the audio with Azure AI Language Conversation Analysis to obtain live transcripts.
Use the Whisper batch transcription model available in Azure OpenAI Service.
The Azure AI Speech service provides a real-time speech-to-text API that adds automatic punctuation and can perform speaker diarization on live audio streams. These capabilities satisfy the low-latency requirement without requiring you to collect data or train custom acoustic models. Azure Video Indexer and Azure AI Language Conversation Analysis both rely on prerecorded media or already-transcribed text, so they do not meet the real-time constraint. A batch Whisper model hosted in Azure OpenAI is optimized for offline transcription and would not deliver sub-second latency.
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Microsoft Azure AI Engineer Associate AI-102
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