Answer: Load the data to the primary storage account of workspace1., From workspace1, create a linked service for the dl1.

To enable an Apache Spark pool in Azure Synapse Analytics to query data from an external Azure Data Lake Storage account, the following approaches are valid: **Option B (Load the data to the primary storage account of workspace1)** is correct because when data is loaded into the workspace's primary storage account, it becomes automatically accessible to all Spark pools within that workspace without requiring additional configuration. This is the most straightforward approach for making data available to Spark pools. **Option C (From workspace1, create a linked service for dl1)** is correct because linked services establish secure connections between Synapse Analytics and external data sources. By creating a linked service for dl1, you configure the authentication and connection details that allow Pool1 to access and query the data directly from the external storage account. **Why other options are less suitable:** - **Option A (Implement Azure Synapse Link)** is incorrect because Azure Synapse Link is designed for near real-time data replication from operational databases (like Cosmos DB or SQL) to Synapse Analytics, not for connecting to existing Azure Data Lake Storage accounts. - **Option D (From Microsoft Purview, register dl1 as a data source)** is incorrect because Microsoft Purview is a data governance and cataloging tool that helps with data discovery, lineage tracking, and classification. Registering a data source in Purview does not grant access permissions or enable connectivity for querying data from Spark pools.

Author: LeetQuiz Editorial Team