Quick Answer
The answer is Azure Stream Analytics, which is the correct choice because it is purpose-built for real-time processing of streaming data from Azure Event Hubs and can directly output aggregated results to Azure SQL Database using simple, declarative SQL queries. This service excels at near real-time stream analytics SQL transformations, such as windowed aggregations and filtering, without requiring custom code or complex infrastructure. On the Microsoft Azure Developer Associate AZ-204 exam, this scenario tests your understanding of Azure’s real-time data pipeline services, often appearing as a trap where candidates confuse storage (Data Lake Storage) or batch processing (HDInsight) with streaming needs. A common pitfall is choosing Azure Functions, which can process events but lacks the native streaming SQL capabilities and built-in output bindings for SQL Database that Stream Analytics provides. Memory tip: think “Stream Analytics = SQL on streams” — if the question says “real-time” and “SQL output,” it’s always Stream Analytics.
This AZ-204 practice question tests your understanding of connect to and consume azure services and third-party services. 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.
An application uses Azure Event Hubs to ingest telemetry data. The team wants to process the data in near real-time and store aggregated results in Azure SQL Database. Which Azure service should they use?
Azure HDInsight
Why wrong: HDInsight is for batch processing, not real-time.
Azure Functions
Why wrong: Functions can process events but require custom logic; Stream Analytics provides built-in streaming SQL.
Azure Stream Analytics
Stream Analytics processes streaming data and outputs to SQL Database.
Azure Data Lake Storage Gen2
Why wrong: Data Lake Storage is for storing data, not processing streams.
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 Stream Analytics
Azure Stream Analytics is designed for real-time processing on streaming data from Event Hubs and can output to SQL Database. Option A is wrong because Data Lake Storage is for storage, not processing. Option B is wrong because HDInsight is for batch processing. Option D is wrong because Functions can process events but lack the built-in streaming SQL capabilities of Stream Analytics.
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 HDInsight
Why it's wrong here
HDInsight is for batch processing, not real-time.
Azure Functions
Why it's wrong here
Functions can process events but require custom logic; Stream Analytics provides built-in streaming SQL.
Azure Stream Analytics
Why this is correct
Stream Analytics processes streaming data and outputs to SQL Database.
Related concept
Read the scenario before looking for a memorised answer.
Azure Data Lake Storage Gen2
Why it's wrong here
Data Lake Storage is for storing data, not processing streams.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Connect to and consume Azure services and third-party services — This question tests Connect to and consume Azure services and third-party services — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Stream Analytics — Azure Stream Analytics is designed for real-time processing on streaming data from Event Hubs and can output to SQL Database. Option A is wrong because Data Lake Storage is for storage, not processing. Option B is wrong because HDInsight is for batch processing. Option D is wrong because Functions can process events but lack the built-in streaming SQL capabilities of Stream Analytics.
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This AZ-204 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 AZ-204 exam.
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