AI-102 Question 28
Single answerYou are tasked with building a knowledge mining solution for your organization to extract insights from a large collection of unstructured documents, such as PDFs, images, and Word files. The solution should enable capabilities like document search, entity recognition, and key phrase extraction. Which Azure service should you use as the foundation for this solution?
- A
Azure Cognitive Search
- B
Azure Machine Learning
- C
Azure Data Factory
- D
Azure Synapse Analytics
Show answer and explanation
Correct answer: A
Explanation
Azure Cognitive Search is designed specifically for knowledge mining scenarios. It provides tools for indexing and enriching data from unstructured sources, leveraging AI capabilities such as entity recognition and key phrase extraction. This makes it the most appropriate choice for building a knowledge mining solution.
- A. Correct.
Azure Cognitive Search is the correct choice for building a knowledge mining solution. It provides built-in AI capabilities like document indexing, natural language processing, and entity recognition, making it ideal for extracting insights from unstructured data.
- B. Incorrect.
Azure Machine Learning is primarily used for building, training, and deploying custom machine learning models. While it can be integrated into a knowledge mining solution, it is not the foundational service for this specific use case.
- C. Incorrect.
Azure Data Factory is a data integration service designed for orchestrating data workflows. It is not specifically designed for knowledge mining or document indexing.
- D. Incorrect.
Azure Synapse Analytics is a data platform for big data analytics and data warehousing. While it can store and analyze large datasets, it does not provide the AI-driven capabilities required for knowledge mining.