AI-102 Question 29
Single answerYour company needs to implement a knowledge mining solution to analyze and extract insights from a large repository of unstructured documents, such as PDFs, images, and scanned files. The solution should enable search capabilities and provide enriched metadata for the documents. Which Azure service should you choose?
- A
Azure Cognitive Search
- B
Azure Machine Learning
- C
Azure Synapse Analytics
- D
Azure Blob Storage
Show answer and explanation
Correct answer: A
Explanation
Azure Cognitive Search is the most suitable service for a knowledge mining solution. It allows you to ingest, enrich, and search through unstructured data, enabling you to extract useful insights and metadata. Additionally, it integrates with AI skills like OCR, entity recognition, and image analysis to enhance the data extraction process. Other services mentioned have different primary purposes and do not directly address the requirements of knowledge mining.
- A. Correct.
Azure Cognitive Search is the appropriate service for building a knowledge mining solution. It provides capabilities like indexing, search, and integration with AI enrichment to extract insights from unstructured data.
- B. Incorrect.
Azure Machine Learning is primarily used for creating, training, and deploying machine learning models. While it can be used in conjunction with Azure Cognitive Search, it is not specifically tailored for knowledge mining solutions.
- C. Incorrect.
Azure Synapse Analytics is designed for big data analytics and data warehousing, which is not directly related to knowledge mining or building search capabilities for unstructured documents.
- D. Incorrect.
Azure Blob Storage is used for storing unstructured data such as documents, images, and videos. While it serves as storage for the documents in a knowledge mining solution, it does not provide the necessary search or enrichment capabilities.