DP-203 Develop data processing Practice Question
Which TWO components are required to set up a streaming data pipeline using Azure Synapse Analytics? (Select two.)
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 Event Hubs
To set up a streaming data pipeline in Azure Synapse Analytics, you need a streaming ingestion source and a processing engine. Azure Event Hubs (Option B) is the correct ingestion service for real-time streaming data. Azure Synapse Pipelines (or Spark) (Option E) provides the processing engine to transform and analyze the streaming data. Azure Data Factory (Option A) is primarily for batch data integration, not streaming. Azure Analysis Services (Option C) is for OLAP modeling, not streaming. Azure Blob Storage (Option D) is a storage destination, not a required component for streaming ingestion or processing.
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 Data Factory
Why it's wrong here
Data Factory is for batch orchestration, not streaming.
- ✓
Azure Event Hubs
Why this is correct
Event Hubs ingests streaming events.
- ✗
Azure Analysis Services
Why it's wrong here
Analysis Services is for semantic modeling, not streaming.
- ✗
Azure Blob Storage
Why it's wrong here
Blob Storage is a possible sink, but not required.
- ✓
Azure Synapse Pipelines (or Spark)
Why this is correct
Synapse pipelines or Spark can process streaming data.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
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.
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