DP-203 Develop data processing Practice Question
You are designing a near-real-time data processing solution for a retail company. The source is a Kafka cluster on-premises. The target is an Azure Synapse Dedicated SQL Pool. The solution must handle up to 10,000 events per second with less than 5-minute latency. Which Azure service should you use to ingest the data?
⚠ Common exam trap
Test-takers frequently confuse Azure Stream Analytics as an ingestion service, but it is a processing engine that requires an ingestion layer (like Event Hubs) first, and they may overlook that Azure Event Hubs natively supports the Kafka protocol, making it the direct replacement for Kafka ingestion in Azure.
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 (with Kafka protocol support)
Azure Event Hubs with Kafka protocol support is the correct choice because it provides a fully managed, high-throughput data ingestion service that can handle up to 10,000 events per second with sub-second latency, and it natively supports the Kafka protocol, allowing direct integration with your on-premises Kafka cluster without custom code or additional gateways. This meets the near-real-time requirement (<5-minute latency) and scales to the specified throughput.
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 Event Hubs (with Kafka protocol support)
Why this is correct
Event Hubs supports Kafka protocol and can ingest 10K events/sec with low latency.
- ✗
Azure Data Lake Storage Gen2
Why it's wrong here
ADLS Gen2 is a storage service, not an ingestion service.
- ✗
Azure IoT Hub
Why it's wrong here
IoT Hub is for IoT device telemetry, not Kafka streams.
- ✗
Azure Stream Analytics
Why it's wrong here
Stream Analytics is for processing, not direct ingestion from Kafka.
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Senior Network & Security Engineer · founder of Courseiva
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