Microsoft Azure Architect Design (AZ-301) Practice Exam

Using Azure Blob Storage to store large amounts of unstructured data is a key benefit because it is specifically designed to handle various types of data that do not have a predefined schema. Blob Storage can efficiently store text and binary data, such as documents, images, videos, backups, and logs, making it an ideal choice for applications that require scalable storage solutions for diverse unstructured data types.

Furthermore, Azure Blob Storage provides features like high availability, durability, and security, which contribute to its effectiveness as a storage solution for unstructured data. It supports scalable architectures, allowing for the handling of massive data sets and facilitating the use of big data applications.

In contrast, the other options do not accurately represent the primary attributes of Azure Blob Storage. Relational database services are covered by Azure SQL Database and other database offerings, while structured data analytics would typically involve services like Azure Synapse Analytics. Real-time data streaming is addressed by services such as Azure Stream Analytics and Azure Event Hubs, rather than Blob Storage.