You are building a secure enterprise data lake that must enforce fine-grained folder-level permissions and integrate with Azure Databricks and Azure Synapse serverless SQL. Access must be granted via Azure AD and managed identities. Which two design decisions should you implement?

Enabling the hierarchical namespace on the storage account is crucial because it transforms Azure Blob Storage into Azure Data Lake Storage Gen2 (ADLS Gen2), which supports directories and POSIX-compliant Access Control Lists (ACLs). This allows for fine-grained, folder-level permissions, a key requirement. Using only Azure RBAC at the storage account level would not provide the necessary folder-level granularity. Mounting data in Azure Databricks using the abfss:// driver with a managed identity is the recommended secure and performant way to connect Databricks to ADLS Gen2. The abfss:// driver leverages the hierarchical namespace and Azure AD for authentication. Using blob containers without hierarchical namespace would prevent folder-level ACLs. Storing data in Azure SQL Database is not a data lake solution and would not integrate with Databricks and Synapse serverless SQL in the requested manner.