Quick Answer
The correct choice is Azure Event Hubs because it is a fully managed, real-time data ingestion service designed to stream millions of events per second into Azure Synapse Analytics for immediate processing. Unlike batch-oriented tools, Event Hubs captures and buffers streaming data from sources like IoT devices or application logs, enabling Synapse to consume it via dedicated SQL pools or Spark pipelines. On the DP-203 exam, this question tests your ability to distinguish between ingestion services: a common trap is confusing Azure Data Factory’s batch orchestration with Event Hubs’ streaming capability. Remember that Event Hubs is the “firehose” for real-time data, while Data Factory handles scheduled, bulk transfers. For a quick memory tip, think “Events go to Hubs, batches go to Factories.”
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 support both batch and streaming data ingestion. Which Azure service should you use to ingest streaming data into Synapse Analytics?
Azure Data Factory
Why wrong: Azure Data Factory is for batch orchestration, not real-time streaming.
Azure Blob Storage
Why wrong: Blob Storage is a destination, not an ingestion service.
Azure Event Hubs
Event Hubs is designed for streaming data ingestion and works with Synapse.
Azure Analysis Services
Why wrong: Analysis Services is for semantic models, not data ingestion.
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
Option A is correct because Azure Event Hubs is a big data streaming platform and event ingestion service that integrates with Synapse. Option B is wrong because Azure Data Factory is primarily for batch data integration. Option C is wrong because Azure Blob Storage is a storage service, not an ingestion service. Option D is wrong because Azure Analysis Services is for semantic modeling, not streaming ingestion.
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 Data Factory
Why it's wrong here
Azure Data Factory is for batch orchestration, not real-time streaming.
Azure Blob Storage
Why it's wrong here
Blob Storage is a destination, not an ingestion service.
Azure Event Hubs
Why this is correct
Event Hubs is designed for streaming data ingestion and works with Synapse.
Related concept
Read the scenario before looking for a memorised answer.
Azure Analysis Services
Why it's wrong here
Analysis Services is for semantic models, not data ingestion.
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 DP-203 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
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Event Hubs — Option A is correct because Azure Event Hubs is a big data streaming platform and event ingestion service that integrates with Synapse. Option B is wrong because Azure Data Factory is primarily for batch data integration. Option C is wrong because Azure Blob Storage is a storage service, not an ingestion service. Option D is wrong because Azure Analysis Services is for semantic modeling, not streaming ingestion.
Identify which DP-203 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.
About these practice questions
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Last reviewed: Jun 21, 2026
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.
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