AI-200 Event Driven Integration Practice Question
You are architecting a real-time anomaly detection system. Sensor data is ingested into an Azure Event Hub. Due to intermittent network issues between the IoT gateway and Azure, duplicate events are occasionally sent. You need downstream Stream Analytics to process each unique event exactly once within a sliding window. Which Event Hub property should you leverage?
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
✓
Partition Key
Event Hubs supports publisher journaling and offset tracking, but for exact-once processing or deduplication, Stream Analytics utilizes the Event Hub Enqueued Time and Partition ID along with watermark definitions, or you can leverage Event Hubs partition keys to ensure identical events go to the same partition.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Service Bus Duplicate Detection History Window
Why it's wrong here
Duplicate detection is an Azure Service Bus feature, not an Event Hubs feature.
- ✓
Partition Key
Why this is correct
Assigning a partition key ensures that events with the same key always land on the same partition, enabling stateful stream processing and deduplication.
- ✗
Capture Window Size
Why it's wrong here
Capture window size controls storage file rotation, not stream deduplication.
- ✗
Event Grid Advanced Filtering
Why it's wrong here
Event Grid filtering does not apply to Azure Event Hub data streams processed by Stream Analytics.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
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