AZ-305 · Question #219
You have to design a Data Engineering solution for your company. The company currently has an Azure subscription. They also have application data hosted in a database on a Microsoft SQL Server…
The correct answer is D. Azure Synapse Analytics. Azure Synapse Analytics is the comprehensive solution for designing a data engineering platform that includes on-premises SQL data transfer, scheduled jobs, an Azure data warehouse, a managed Spark cluster with multi-language notebooks, and an integrated data lake.
Question
Options
- AAzure Data Factory
- BAzure Databricks
- CAzure Data Lake Gen2 Storage accounts
- DAzure Synapse Analytics
How the community answered
(37 responses)- A27% (10)
- B5% (2)
- C14% (5)
- D54% (20)
Why each option
Azure Synapse Analytics is the comprehensive solution for designing a data engineering platform that includes on-premises SQL data transfer, scheduled jobs, an Azure data warehouse, a managed Spark cluster with multi-language notebooks, and an integrated data lake.
Azure Data Factory is an ETL orchestration service but does not include the data warehouse, managed Spark cluster, or data lake store as an integrated analytics platform.
Azure Databricks provides a managed Spark environment with notebooks but does not inherently include the data warehousing capabilities or full ETL orchestration and data lake store components of a complete solution.
Azure Data Lake Gen2 Storage accounts provide the data lake storage component but do not offer data warehousing, ETL orchestration, or managed Spark clusters for analytics.
Azure Synapse Analytics unifies enterprise data warehousing, big data analytics, and data integration capabilities, offering dedicated SQL pools, Apache Spark pools supporting Scala, R, and Python notebooks, and pipelines for scheduled data transfer, all integrated with Azure Data Lake Storage Gen2.
Concept tested: Azure Synapse Analytics capabilities and integrated features
Source: https://learn.microsoft.com/en-us/azure/synapse-analytics/overview-what-is
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