Key points

• Synapse combines data integration with SQL, Spark, and analytical serving in one workspace.
• Workload isolation, lake layout, curated models, security, and serving patterns still require architecture choices.

Best-known use cases

• Build a governed analytical layer over historical lake and warehouse data for reporting and exploration.

What candidates often confuse it with

• Synapse is an integrated analytics workspace; Data Factory focuses on orchestration and movement, while operational databases serve transactions.

Key takeaway

Choose Synapse when a governed analytics solution needs coordinated SQL, Spark, integration, and serving capabilities.

Relevant exam tasks

• D2.3.S2 — Recommend a solution for data analysis

Learn more

• Azure analytics architecture