AI-102 Question 26
Single answerA company wants to build a knowledge mining solution to extract insights from a diverse set of unstructured documents, including PDFs, Word files, and images. The solution must support AI models for extracting key phrases, entities, and relationships. Which Azure service should the company use to implement this solution?
- A
Azure Cognitive Search
- B
Azure Synapse Analytics
- C
Azure Machine Learning
- D
Azure Data Factory
Show answer and explanation
Correct answer: A
Explanation
Azure Cognitive Search is the correct choice because it offers built-in AI enrichments specifically designed for knowledge mining from unstructured data, such as PDFs, Word documents, and images. It enables the extraction of key phrases, entities, and relationships, making it the most appropriate service for the described scenario.
- A. Correct.
Azure Cognitive Search is a fully managed search service with built-in AI capabilities for knowledge mining, such as extracting key phrases, entities, and relationships from unstructured data. It is the most suitable service for this scenario.
- B. Incorrect.
Azure Synapse Analytics is designed for data integration, analysis, and big data processing. While it is powerful for data analytics, it lacks the AI-driven knowledge mining capabilities required in this scenario.
- C. Incorrect.
Azure Machine Learning is a platform to build, train, and deploy custom machine learning models. It does not provide a ready-to-use solution for extracting insights from unstructured data, making it less suitable for this scenario.
- D. Incorrect.
Azure Data Factory is primarily a data integration service used for moving and transforming data between sources. It does not have built-in AI capabilities for knowledge mining from unstructured documents.