Answer-first summary for fast verification
Answer: No
## Analysis of the Proposed Solution The proposed solution suggests using an Azure Data Factory pipeline with a schedule trigger to: 1. Copy data from Azure Data Lake Storage to a staging table in Azure Synapse Analytics 2. Execute an R script using a stored procedure ### Why This Solution Does NOT Meet the Goal **1. Stored Procedure Activity Limitations in Azure Data Factory** - The Stored Procedure activity in Azure Data Factory is designed to execute SQL stored procedures within databases - It cannot directly execute R scripts, as R is a separate programming language that requires specific execution environments **2. Azure Synapse Analytics R Support Limitations** - Azure Synapse Analytics (formerly SQL Data Warehouse) does not natively support executing R scripts through stored procedures - While SQL Server supports `sp_execute_external_script` for R execution, this functionality is not available in Azure Synapse Analytics - The external script execution capability is limited to specific Azure SQL services and not supported in the data warehouse context **3. Architectural Mismatch** - The solution copies data to Synapse Analytics BEFORE transformation, which contradicts the requirement to transform data using an R script - R script execution should occur before loading into the data warehouse, not after - This approach would require moving data out of Synapse Analytics for R processing, which is inefficient ### Better Alternative Approaches To properly meet the goal, consider these alternatives: - **Azure Databricks**: Use Azure Data Factory to trigger a Databricks notebook that executes the R script for transformation - **Azure Machine Learning**: Execute the R script using Azure ML services and integrate with Data Factory - **Custom Activities**: Implement a custom .NET activity in Data Factory that can execute R scripts - **HDInsight**: Use an HDInsight cluster with R installed for script execution ### Conclusion The proposed solution fails because stored procedures in Azure Data Factory cannot execute R scripts, and Azure Synapse Analytics does not support R script execution through stored procedures. The architectural approach of transforming data after loading into the data warehouse is also suboptimal for this scenario.
Author: LeetQuiz Editorial Team
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You have an Azure Data Lake Storage account with a staging zone. You need to design a daily process to ingest incremental data from this staging zone, transform the data by running an R script, and then load the transformed data into an Azure Synapse Analytics data warehouse.
Proposed Solution: You use an Azure Data Factory schedule trigger to run a pipeline. This pipeline copies the data to a staging table in the data warehouse and then uses a stored procedure to execute the R script.
Does this solution meet the goal?
A
Yes
B
No