Microsoft Azure Architect Design (AZ-304) Practice Test

Does including Azure Data Lake Storage in the design for on-premises storage with built-in replication to Azure meet the requirement?

1. Yes

2. No

3. Only for structured data

4. Only under certain conditions

The correct answer is: No

Including Azure Data Lake Storage in the design for on-premises storage with built-in replication to Azure does not meet the requirement as it typically emphasizes the need for a fully integrated and efficient replication strategy rather than just the inclusion of a service. Data Lake Storage is primarily designed for big data analytics and is most suitable for storing large volumes of structured, semi-structured, and unstructured data. When considering on-premises storage replication to Azure, key factors include the architecture, network connectivity, and consistency requirements. While Data Lake Storage offers robust capabilities for data analytics, it may not fulfill specific requirement criteria like data synchronization, data access speeds, or efficient handling of transactional workloads that a more traditional storage solution would provide. In scenarios where seamless integration and high availability are critical, relying solely on Data Lake Storage may not optimize these aspects fully. Solutions that ensure comprehensive integration, performance, and support for various data types – beyond just the capabilities of Data Lake Storage – are often necessary for meeting those complex requirements.