AI-102 exam dumps

AI-102 practice question 423 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 423

Select 3

You are tasked with implementing a custom Azure AI Search skill that extracts structured data from invoices, such as invoice numbers, dates, and total amounts, to enhance search capabilities in a knowledge mining solution. Which steps should you include in your implementation pipeline?

  1. A

    Integrate a pre-trained Azure Form Recognizer model as part of the skillset pipeline to extract key fields from the invoices.

  2. B

    Configure the Azure AI Search skillset to output the extracted data as searchable fields in the Azure Cognitive Search index.

  3. C

    Write a custom skill in Azure Functions to preprocess the invoices by converting them to a text-based format before passing them to the Azure Form Recognizer.

  4. D

    Use Azure Blob Storage to store the invoices and configure Cognitive Search to directly index the data without using a skillset.

  5. E

    Define a custom cognitive skill to translate the extracted data into multiple languages for multilingual search capabilities.

Show answer and explanation

Correct answers: A, B, C

Explanation

To implement a document intelligence model as a custom Azure AI Search skill, you need to use a pre-trained Azure Form Recognizer model to extract structured data from invoices. This data should then be configured as searchable fields in the Azure Cognitive Search index. Preprocessing the documents using a custom Azure Function skill might be necessary to ensure they are in a compatible format for extraction. The pipeline does not involve direct indexing without a skillset, and translating data into multiple languages is not a core requirement for this scenario.

  • A. Correct.

    Integrating a pre-trained Azure Form Recognizer model is essential for extracting structured data from invoices as part of the custom skillset pipeline.

  • B. Correct.

    Configuring the skillset to output the extracted data into searchable fields ensures the data becomes usable in the Azure Cognitive Search index.

  • C. Correct.

    Preprocessing the invoices using a custom Azure Function skill may be necessary if the invoices are not already in a format that the Azure Form Recognizer can process, such as converting images or PDFs to text.

  • D. Incorrect.

    Using Azure Blob Storage to directly index the data without a skillset is incorrect because the task requires structured data extraction, which necessitates a custom skillset pipeline.

  • E. Incorrect.

    While translating extracted data into multiple languages could be a feature, it is not a required step for implementing the document intelligence model in this scenario.

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