DP-203 Design and implement data storage Practice Question
Which TWO Azure services can be used to ingest streaming data into Azure Synapse Analytics?
⚠ Common exam trap
Many candidates confuse batch ingestion tools (like Azure Data Factory or Auto Loader) with real-time streaming services, or mistakenly think Event Hubs alone can ingest into Synapse without a processing layer like Stream Analytics.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Stream Analytics.
Azure Stream Analytics is correct because it is a fully managed stream processing engine that can ingest streaming data from sources like Azure Event Hubs and output directly to Azure Synapse Analytics (via SQL pool or dedicated SQL pool). It enables real-time analytics on streaming data before landing it in Synapse for further analysis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Databricks Auto Loader.
Why it's wrong here
Auto Loader ingests files incrementally but is not a streaming ingestion service itself; it reads from storage.
- ✓
Azure Stream Analytics.
Why this is correct
Stream Analytics can output to Synapse SQL pool or ADLS Gen2.
- ✗
Azure Data Factory.
Why it's wrong here
Data Factory is for batch and scheduled data movement, not real-time streaming.
- ✓
Azure Event Hubs.
Why this is correct
Event Hubs can ingest millions of events per second and integrate with Synapse.
- ✗
Azure Logic Apps.
Why it's wrong here
Logic Apps are for orchestrating workflows, not high-throughput streaming.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
Key term
Azure Stream Analytics
Azure Stream Analytics is a fully managed, real-time data processing service that analyzes and transforms high volumes of streaming data from various sources to deliver low-latency insights and trigger actions.
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