DP-203 Develop data processing Practice Question
You are designing a data pipeline to ingest streaming data from IoT devices into Azure Synapse Analytics. The data must be available for querying with minimal latency, but you also need to handle spikes in throughput without data loss. Which service should you use as the ingestion layer?
⚠ Common exam trap
Many exam-takers confuse Azure IoT Hub with Event Hubs, assuming IoT Hub is the default for all IoT streaming, but IoT Hub is designed for device management and lower-throughput telemetry, whereas Event Hubs is the dedicated high-throughput ingestion service for analytics pipelines.
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
Azure Event Hubs is the correct choice because it is a fully managed, real-time data ingestion service optimized for high-throughput streaming data from millions of IoT devices. It provides at-least-once delivery, supports partitioning for massive scale, and integrates natively with Azure Synapse Analytics via the Synapse Pipeline or Event Hubs Capture to handle throughput spikes without data loss.
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 Lake Storage Gen2
Why it's wrong here
Data Lake Storage Gen2 is object storage, not a streaming ingestion service; it cannot absorb device throughput spikes or buffer events without loss. It is the correct landing zone once Stream Analytics or Event Hubs has captured and written the stream.
- ✗
Azure Blob Storage
Why it's wrong here
Blob Storage is batch object storage; it offers no native event-stream ingestion or back-pressure buffering, so throughput spikes cause loss or latency. It suits storing landed files, whereas Event Hubs provides the partitioned consumer buffer this pipeline requires.
- ✗
Azure IoT Hub
Why it's wrong here
IoT Hub is for device connectivity and management, not generic streaming.
- ✓
Azure Event Hubs
Why this is correct
Azure Event Hubs ingests millions of events per second with partitioned consumer groups, buffering telemetry during throughput spikes so no data is dropped. Its native capture and Stream Analytics integration feed Synapse with minimal latency, satisfying both the spike-tolerance and low-latency querying constraints in the stem.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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