Quick Answer
Azure Event Hubs is the correct choice because it is purpose-built for high-throughput event ingestion, capable of handling millions of events per second while supporting exactly-once processing semantics through checkpointing and offset management, and it retains events for up to 7 days by default—configurable to 90 days—allowing reliable replay. On the AZ-305 exam, this scenario tests your ability to distinguish between event ingestion and message queuing services; a common trap is choosing Azure Service Bus, which offers message brokering but lacks the massive throughput and long-term replay capabilities of Event Hubs. Remember that Event Hubs is a “big data pipeline” service, not a traditional queue—think of it as a durable, replayable event log. A useful memory tip: “Event Hubs for high-throughput, Service Bus for ordered messaging.”
This AZ-305 practice question tests your understanding of design data storage solutions. 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 need to design a data storage solution for a high-throughput event processing pipeline. The solution must ingest millions of events per second, support exactly-once processing semantics, and allow replay of events from the past 7 days. Which Azure service should you use as the event ingestion store?
Azure Service Bus
Why wrong: Service Bus has lower throughput and is not designed for event streaming.
Azure IoT Hub
Why wrong: IoT Hub is for device connectivity, not general event ingestion.
Azure Queue Storage
Why wrong: Queue Storage has lower throughput and does not support exactly-once processing.
Azure Event Hubs
Event Hubs supports high-throughput ingestion, exactly-once processing, and event replay via Capture.
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 big data streaming platform and event ingestion service designed for high-throughput scenarios, capable of ingesting millions of events per second. It supports exactly-once processing semantics through checkpointing and offset management, and it provides event retention for up to 7 days by default (configurable up to 90 days), enabling event replay. This makes it ideal for a high-throughput event processing pipeline that requires reliable ingestion and replay capabilities.
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 Service Bus
Why it's wrong here
Service Bus has lower throughput and is not designed for event streaming.
Azure IoT Hub
Why it's wrong here
IoT Hub is for device connectivity, not general event ingestion.
Azure Queue Storage
Why it's wrong here
Queue Storage has lower throughput and does not support exactly-once processing.
Azure Event Hubs
Why this is correct
Event Hubs supports high-throughput ingestion, exactly-once processing, and event replay via Capture.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse Azure Event Hubs with Azure Service Bus, assuming both are interchangeable for messaging, but Event Hubs is optimized for massive-scale event ingestion and replay, while Service Bus is for reliable message delivery with lower throughput and transactional support.
Detailed technical explanation
Azure Event Hubs uses a partitioned consumer model with an AMQP 1.0 protocol for high-throughput ingestion, and it supports checkpointing via Azure Blob Storage to track offsets, enabling exactly-once processing in conjunction with idempotent consumers. The retention of events is managed at the partition level, and replay is achieved by resetting consumer offsets to an earlier point within the retention window. In real-world scenarios, this is critical for scenarios like financial transaction processing or log analytics where data must be reprocessed for debugging or compliance.
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
Design data storage solutions — This question tests Design data storage solutions — 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 big data streaming platform and event ingestion service designed for high-throughput scenarios, capable of ingesting millions of events per second. It supports exactly-once processing semantics through checkpointing and offset management, and it provides event retention for up to 7 days by default (configurable up to 90 days), enabling event replay. This makes it ideal for a high-throughput event processing pipeline that requires reliable ingestion and replay capabilities.
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
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