Microsoft Certified: Azure AI Engineer AssociateImplement natural language processing solutionsHard
A customer support center wants to implement a system that automatically transcribes incoming customer calls in real-time, and simultaneously extracts specific entities such as product names, order numbers, and customer IDs from the conversation. This information will then be used to pre-fill CRM forms and trigger relevant knowledge base lookups. Which combination of Azure AI services should be used?
- AAzure AI Speech - Neural Text-to-Speech and Azure AI Language - Sentiment Analysis
- BAzure AI Speech - Speech-to-text (real-time) and Azure AI Language - Named Entity Recognition (NER)
- CAzure AI Speech - Batch Speech-to-text and Azure AI Language - Text Summarization
- DAzure AI Speech - Speaker Diarization and Azure AI Language - Key Phrase Extraction
Show answer & explanationAnswer & explanation
Correct answer: B. Azure AI Speech - Speech-to-text (real-time) and Azure AI Language - Named Entity Recognition (NER)
Real-time transcription of incoming calls requires Azure AI Speech's real-time Speech-to-text capability. To extract specific entities like product names and order numbers from the transcribed text, Azure AI Language's Named Entity Recognition (NER) is the appropriate service.
Why the other options are wrong
- A. Neural Text-to-Speech converts text to speech, and Sentiment Analysis determines tone, neither addresses real-time transcription or entity extraction.
- C. Batch Speech-to-text is for files, not real-time, and Text Summarization doesn't extract specific entities.
- D. Speaker Diarization identifies speakers, and Key Phrase Extraction identifies general concepts, not specific entities for pre-filling forms.
Real-time Transcription & NER
An AI solution pattern that combines real-time speech-to-text conversion with named entity recognition to transcribe live audio and simultaneously extract specific, predefined entities from the spoken content.
- Requires low-latency speech-to-text for live streams.
- Leverages NER to identify and categorize specific information (e.g., names, dates, product codes).
- Enables automation like form pre-filling, data enrichment, and intelligent routing.
- Critical for enhancing live customer interactions.
Memory trick: Hear the call, Write the words, Find the facts.