The correct choice is Azure Functions with an Event Hubs trigger. This combination is ideal for real-time IoT telemetry processing because Azure Functions provides a serverless, event-driven compute model that automatically scales with Event Hubs partitions, ensuring minimal latency even under high-throughput ingestion. The Event Hubs trigger binds directly to the stream, processing each event as it arrives, and the function output can seamlessly write processed telemetry to Azure Blob Storage for long-term analytics. On the AZ-204 exam, this scenario tests your understanding of choosing the right trigger for event-driven workloads, often contrasting Event Hubs (high-throughput, ordered processing) with Service Bus (message queuing) or Blob Storage triggers (batch-oriented). A common trap is selecting Azure Stream Analytics for this serverless compute question, but remember that Stream Analytics is a real-time analytics service, not a general-purpose serverless compute trigger. Memory tip: think “Event Hubs for firehose ingestion, Functions for per-event processing.”
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute 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 are building a solution that processes real-time telemetry from IoT devices. The telemetry data must be ingested, processed with minimal latency, and stored in Azure Blob Storage for long-term analytics. You need to choose the serverless compute service that is best suited for this scenario. What should you use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Functions with Event Hubs trigger
Azure Functions with an Event Hubs trigger is the best choice because it provides a serverless, event-driven compute model that can process high-throughput telemetry data with minimal latency. The Event Hubs trigger scales automatically based on the number of partitions and events, ensuring real-time processing, and the output can directly write to Azure Blob Storage for long-term analytics.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 Functions with Event Hubs trigger
Why this is correct
Functions are serverless and the Event Hubs trigger is designed for high-throughput, low-latency event ingestion.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Batch with Event Hubs input
Why it's wrong here
Azure Batch is for parallel batch processing, not real-time.
✗
Azure Logic Apps with Event Hubs connector
Why it's wrong here
Logic Apps are more for workflow orchestration, not real-time processing.
✗
Azure WebJobs with Event Hubs SDK
Why it's wrong here
WebJobs are not serverless and require an App Service plan.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Logic Apps (which also has an Event Hubs connector) with Azure Functions, but Logic Apps are designed for orchestration and have higher latency, making them inappropriate for real-time, high-throughput telemetry processing.
Detailed technical explanation
How to think about this question
Under the hood, Azure Functions with Event Hubs uses the EventProcessorHost pattern, where each function instance leases one or more partitions from the Event Hubs consumer group. This ensures exactly-once processing semantics per partition and allows the function to scale out to match the number of partitions, achieving sub-second latency. In a real-world scenario, if telemetry spikes, the Event Hubs trigger automatically adds more function instances without manual intervention, while Blob Storage output bindings handle checkpointing and data persistence.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Functions with Event Hubs trigger — Azure Functions with an Event Hubs trigger is the best choice because it provides a serverless, event-driven compute model that can process high-throughput telemetry data with minimal latency. The Event Hubs trigger scales automatically based on the number of partitions and events, ensuring real-time processing, and the output can directly write to Azure Blob Storage for long-term analytics.
What should I do if I get this AZ-204 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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