DP-203 Develop data processing Practice Question
You are designing a data processing solution for a global company. Data must be processed in near real-time and aggregated by region. You need to minimize latency for downstream consumers. Which Azure service should you use for stream processing?
⚠ Common exam trap
Test-takers frequently confuse Azure Data Factory or Synapse Pipelines with stream processing because they support 'real-time' triggers, but these services are fundamentally batch-oriented and cannot achieve the sub-second latency required for continuous stream aggregation.
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 the correct choice because it is a fully managed stream processing engine designed for near real-time analytics on high-volume data streams. It can ingest data from sources like Azure Event Hubs or IoT Hub, apply SQL-based transformations, and output aggregated results to sinks such as Azure Synapse or Power BI with sub-second latency, meeting the requirement for minimal downstream latency.
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 Batch
Why it's wrong here
Azure Batch is for large-scale parallel batch processing.
- ✓
Azure Stream Analytics
Why this is correct
Stream Analytics provides real-time stream processing with SQL-like queries.
- ✗
Azure Data Factory
Why it's wrong here
Data Factory is primarily for batch data movement and orchestration.
- ✗
Azure Synapse Pipelines
Why it's wrong here
Synapse Pipelines are similar to Data Factory, focused on batch.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.