Question 31 of 846
Develop data processingmediumMultiple ChoiceObjective-mapped

DP-203 Develop data processing Practice Question

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 processing solution in Azure Synapse Analytics. The solution must process streaming data from Azure Event Hubs and store the results in a dedicated SQL pool. You need to choose the most appropriate service for near real-time ingestion with minimal latency. What should you use?

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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

Azure Stream Analytics

Azure Stream Analytics is the correct choice because it is purpose-built for near real-time stream processing with sub-second latency, directly integrates with Azure Event Hubs as an input source and dedicated SQL pool as an output sink, and provides a SQL-like query language for defining transformations. This minimizes architectural complexity and latency compared to other services.

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 Databricks with Structured Streaming

    Why it's wrong here

    While capable, it introduces additional complexity and latency compared to Stream Analytics for this use case.

  • Azure Stream Analytics

    Why this is correct

    Azure Stream Analytics is optimized for low-latency streaming and can directly ingest from Event Hubs and write to SQL pools.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure Data Factory

    Why it's wrong here

    Azure Data Factory is primarily for batch data integration, not near real-time streaming.

  • Azure Functions with Event Hub trigger

    Why it's wrong here

    Azure Functions are not designed for high-throughput streaming scenarios.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse 'near real-time' with 'batch processing' and choose Azure Data Factory (option C) because it is a familiar data integration tool, overlooking that it lacks native streaming capabilities and introduces latency from scheduled pipeline runs.

Trap categories for this question

  • Scenario analysis trap

    Azure Functions are not designed for high-throughput streaming scenarios.

Detailed technical explanation

How to think about this question

Azure Stream Analytics uses a continuous query execution engine that processes events as they arrive, maintaining state for windowed aggregations (e.g., tumbling, hopping, sliding windows) with exactly-once delivery guarantees when writing to dedicated SQL pool via the built-in output adapter. Under the hood, it leverages a distributed job topology that partitions the input stream across compute nodes, ensuring scalability and low latency even at high throughput (e.g., 1 GB/s). A real-world scenario is real-time dashboarding for IoT telemetry, where Stream Analytics can aggregate sensor data from Event Hubs and write to a SQL pool every second without manual checkpointing.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-203 question test?

Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Stream Analytics — Azure Stream Analytics is the correct choice because it is purpose-built for near real-time stream processing with sub-second latency, directly integrates with Azure Event Hubs as an input source and dedicated SQL pool as an output sink, and provides a SQL-like query language for defining transformations. This minimizes architectural complexity and latency compared to other services.

What should I do if I get this DP-203 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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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.