The answer is Azure Stream Analytics and Azure Event Hubs. Azure Stream Analytics is a fully managed stream processing engine that ingests real-time data from Event Hubs and outputs directly to Azure Synapse Analytics, enabling low-latency analytics on streaming data before it lands in a dedicated SQL pool for deeper analysis. Event Hubs serves as the high-throughput ingestion gateway, capturing millions of events per second from sources like IoT devices or application logs, while Stream Analytics applies transformations, aggregations, or windowed functions before writing to Synapse. On the DP-203 exam, this pairing tests your understanding of real-time data pipelines, often appearing in scenario-based questions where you must choose services that handle both ingestion and processing without requiring custom code. A common trap is selecting Azure Data Factory, which is for batch, not streaming. Memory tip: think of Event Hubs as the “door” for streaming data and Stream Analytics as the “brain” that processes it before Synapse stores it.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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.
Which TWO Azure services can be used to ingest streaming data into Azure Synapse Analytics?
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 correct because it is a fully managed stream processing engine that can ingest streaming data from sources like Azure Event Hubs and output directly to Azure Synapse Analytics (via SQL pool or dedicated SQL pool). It enables real-time analytics on streaming data before landing it in Synapse for further analysis.
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 Auto Loader.
Why it's wrong here
Auto Loader ingests files incrementally but is not a streaming ingestion service itself; it reads from storage.
✓
Azure Stream Analytics.
Why this is correct
Stream Analytics can output to Synapse SQL pool or ADLS Gen2.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Data Factory.
Why it's wrong here
Data Factory is for batch and scheduled data movement, not real-time streaming.
✓
Azure Event Hubs.
Why this is correct
Event Hubs can ingest millions of events per second and integrate with Synapse.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Logic Apps.
Why it's wrong here
Logic Apps are for orchestrating workflows, not high-throughput streaming.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse batch ingestion tools (like Azure Data Factory or Auto Loader) with real-time streaming services, or mistakenly think Event Hubs alone can ingest into Synapse without a processing layer like Stream Analytics.
Detailed technical explanation
How to think about this question
Azure Stream Analytics uses a SQL-like query language to process streaming data in-memory with sub-second latency, and its output to Azure Synapse Analytics leverages the Synapse SQL pool's bulk insert capabilities for efficient ingestion. Under the hood, it partitions the stream and uses checkpointing to ensure exactly-once semantics, making it suitable for scenarios like IoT telemetry or clickstream analytics where low-latency data landing is critical.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Design and implement data storage — This question tests Design and implement data storage — 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 correct because it is a fully managed stream processing engine that can ingest streaming data from sources like Azure Event Hubs and output directly to Azure Synapse Analytics (via SQL pool or dedicated SQL pool). It enables real-time analytics on streaming data before landing it in Synapse for further analysis.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.