Explanation:
Note: The data warehouse workload encompasses:
The entire process of loading data into the warehouse
Performing data warehouse analysis and reporting
Managing data in the data warehouse
Exporting data from the data warehouse
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data- warehouse-workload-management

B: Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.
D: SQL Database delivers predictable performance with multiple resource types, service tiers, and compute sizes. It provides dynamic scalability with no downtime, built-in intelligent optimization, global scalability and availability, and advanced security options. These capabilities allow you to focus on rapid app development and accelerating your time-to-market, rather than on managing virtual machines and infrastructure.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-paas-overview

https://learn.microsoft.com/en-us/azure/storage/blobs/lifecycle-management-overview

Whereas structured data requires a fixed schema defined in advance, semi-structured data does not require a prior schema definition. For this reason, it can constantly evolve - new attributes can be added at any time.