Quick Answer
Azure Event Hubs is the correct choice for the ingestion layer when designing a pipeline for streaming IoT data into Azure Synapse Analytics. As a fully managed, real-time ingestion service, Event Hubs is purpose-built for high-throughput scenarios, handling millions of events per second from IoT devices while providing at-least-once delivery and partitioning to ensure no data loss during throughput spikes. On the DP-203 exam, this question tests your understanding of the appropriate ingestion service for streaming workloads versus batch-oriented alternatives like Azure Data Lake Storage or Azure IoT Hub (which adds device management overhead). A common trap is selecting Azure IoT Hub because it also ingests IoT data, but the key differentiator here is the need for minimal latency and native Synapse integration—Event Hubs offers direct streaming via Synapse Pipeline or Event Hubs Capture without the extra device registry features. Remember the mnemonic: “Event Hubs for high-throughput streams, IoT Hub for device dreams.”
This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Azure Data Lake Storage Gen2
Why wrong: Data Lake Storage is a data lake, not a real-time ingestion service.
Azure Blob Storage
Why wrong: Blob Storage is not designed for real-time streaming ingestion; it's for batch storage.
Azure IoT Hub
Why wrong: IoT Hub is for device connectivity and management, not generic streaming.
Azure Event Hubs
Event Hubs is optimized for high-throughput streaming data ingestion with buffering.
Answer choices
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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 is a data lake, not a real-time ingestion service.
Azure Blob Storage
Why it's wrong here
Blob Storage is not designed for real-time streaming ingestion; it's for batch storage.
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
Event Hubs is optimized for high-throughput streaming data ingestion with buffering.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often 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.
Detailed technical explanation
Event Hubs uses a partitioned consumer model with an AMQP 1.0 or HTTPS protocol, allowing multiple consumers to read from separate partitions in parallel, which enables horizontal scaling. The 'Capture' feature can automatically persist streaming data to Azure Data Lake Storage or Blob Storage in Avro format, providing a checkpoint for replay and ensuring no data loss during spikes. In a real-world IoT scenario, Event Hubs can ingest millions of events per second with sub-second latency, while Synapse can query the data via PolyBase or COPY INTO for near-real-time analytics.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
The correct answer is: 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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