AI-102 exam dumps

AI-102 practice question 27 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 27

Single answer

Your company wants to implement a knowledge mining solution to extract insights from thousands of unstructured documents, such as PDFs, Word files, and scanned images. The solution should allow searching and visualizing the extracted information. Which Azure service should you choose to implement this solution?

  1. A

    Azure Cognitive Search

  2. B

    Azure Data Factory

  3. C

    Azure Synapse Analytics

  4. D

    Azure Machine Learning

Show answer and explanation

Correct answer: A

Explanation

Azure Cognitive Search is the most suitable service for building a knowledge mining solution. It allows you to index unstructured data, apply AI skills like OCR and entity recognition to extract insights, and provides search capabilities to retrieve and visualize the enriched data. Other services like Azure Data Factory, Synapse Analytics, and Machine Learning have different purposes and do not directly fulfill the requirements for a knowledge mining solution.

  • A. Correct.

    Azure Cognitive Search is the correct choice for a knowledge mining solution. It enables indexing of unstructured and structured data, applies AI enrichment to extract insights, and provides search and visualization capabilities.

  • B. Incorrect.

    Azure Data Factory is used for data integration and orchestration, not for knowledge mining or building search solutions.

  • C. Incorrect.

    Azure Synapse Analytics is designed for big data processing and data warehousing but does not provide capabilities for indexing and enriching unstructured documents for knowledge mining.

  • D. Incorrect.

    Azure Machine Learning is focused on building, training, and deploying machine learning models, not for providing search or knowledge mining capabilities.

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