DP-203 Develop data processing Practice Question
A company is ingesting streaming data from IoT devices into Azure Event Hubs. The data must be processed in near real-time and stored in Azure Synapse Analytics for reporting. The solution must handle late-arriving data and ensure exactly-once semantics. Which Azure service should you use for stream processing?
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 supports exactly-once semantics for output to Azure Synapse Analytics, handles late-arriving data via adjustable event ordering policies, and is purpose-built for real-time stream processing. Option A (Azure Data Factory) is incorrect as it is primarily a batch ETL service and not designed for near-real-time streaming. Option B (Azure Synapse Spark Structured Streaming) can process streaming data but does not provide exactly-once semantics to Synapse out of the box without additional configuration. Option D (Azure Event Hubs with Capture) is incorrect because it only captures raw event data to storage and does not perform stream processing or guarantee exactly-once delivery to Synapse.
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 with Event Hubs source
Why it's wrong here
Data Factory is batch-oriented.
- ✗
Azure Synapse Spark Structured Streaming
Why it's wrong here
Complex to achieve exactly-once; checkpointing required.
- ✓
Azure Stream Analytics
Why this is correct
Provides exactly-once delivery and can handle late arrivals.
- ✗
Azure Event Hubs with Capture
Why it's wrong here
Capture is for storage, not processing.
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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JA
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.