Correct Answer: To orchestrate data movements and perform data transformations at scale (based on Azure Data Factory technology)
Pipelines allow you to build automated ETL/ELT processes within the Synapse workspace....
Correct Answer
To orchestrate data movements and perform data transformations at scale (based on Azure Data Factory technology)
Why This Answer Is Correct
Pipelines allow you to build automated ETL/ELT processes within the Synapse workspace.
This question evaluates your knowledge of Azure Synapse Analytics — a core concept tested in Microsoft Certified: Azure Administrator Associate (AZ-104). Understanding Azure Synapse Analytics is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?
What is the primary role of Azure Synapse Analytics in a modern data warehouse architecture?
Which Azure Synapse component allows you to query data directly from your data lake (S3/ADLS Gen2) using standard T-SQL without provisioning dedicated resources?
How does Azure Synapse interact with Azure Data Lake Storage Gen2 (ADLS Gen2)?
Which programming languages are supported in Azure Synapse Spark pools to process big data?