AI-102 exam dumps

AI-102 practice question 212 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 212

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You are designing a custom speech solution for a retail company that wants to transcribe customer service calls in real-time. The transcriptions must recognize industry-specific terms such as product names and abbreviations, and the solution must support multiple languages. Which steps should you take to implement the solution using Azure Cognitive Services?

  1. A

    Train a custom acoustic model using Azure Speech Studio.

  2. B

    Create a custom language model and upload industry-specific terms using the Speech-to-Text Customization feature.

  3. C

    Enable real-time transcription using the Azure Speech SDK.

  4. D

    Use the Translation feature in Azure Cognitive Services to support multiple languages.

  5. E

    Deploy the custom models to an Azure Speech endpoint for real-time processing.

Show answer and explanation

Correct answers: B, C, E

Explanation

To implement a custom speech solution with Azure, you need to create and deploy a custom language model to recognize industry-specific terms. The Azure Speech SDK enables real-time transcription, and deploying the models to an endpoint allows the solution to process calls in real-time. Custom acoustic model training is not supported, and while the Translation feature supports multiple languages, it does not fulfill the requirement for real-time transcription.

  • A. Incorrect.

    Azure does not currently support custom acoustic model training. The Speech-to-Text Customization feature allows for customizing language, not acoustic models.

  • B. Correct.

    Creating a custom language model and uploading industry-specific terms ensures that the speech service can accurately recognize domain-specific vocabulary.

  • C. Correct.

    The Azure Speech SDK enables real-time transcription, which is a requirement for the solution.

  • D. Incorrect.

    While the Translation feature supports multiple languages, it is not directly related to real-time transcription or customization of speech solutions.

  • E. Correct.

    Deploying the custom models to an Azure Speech endpoint is the final step required to enable real-time transcription with the customizations applied.

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