- A
Use Azure Synapse Pipeline with Auto-commit and checkpointing to process streaming data.
Why wrong: Incorrect because Azure Synapse Pipeline is batch-oriented and does not provide native streaming with checkpointing from Event Hubs.
- B
Use PolyBase to load data directly from Event Hubs to the dedicated SQL pool.
Why wrong: Incorrect because PolyBase cannot directly read from Event Hubs; it requires a file-based source.
- C
Use COPY INTO statement to ingest data from Event Hubs into the dedicated SQL pool.
Why wrong: Incorrect because COPY INTO is for loading files, not for streaming from Event Hubs.
- D
Enable Event Hubs Capture to write data to Azure Data Lake Storage and then load using PolyBase.
Correct because Event Hubs Capture provides persistent storage in ADLS, ensuring no data loss, and PolyBase then loads into SQL pool.
DP-203 Event Hubs Capture 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. A key principle to apply: event Hubs Capture. 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 pipeline in Azure Synapse Analytics that ingests streaming data from Azure Event Hubs and stores it in a dedicated SQL pool. The data volume is approximately 500 GB per hour with peak spikes. The pipeline must minimize data loss during transient failures. Which feature should you implement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Enable Event Hubs Capture to write data to Azure Data Lake Storage and then load using PolyBase.
Option D is correct because Event Hubs Capture continuously writes data to Azure Data Lake Storage, providing a durable buffer that prevents data loss during transient failures. Once data is in ADLS, PolyBase reliably loads it into the dedicated SQL pool. This architecture ensures data is persisted at the event hub level before any pipeline processing, minimizing loss.
Key principle: Event Hubs Capture
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure Synapse Pipeline with Auto-commit and checkpointing to process streaming data.
Why it's wrong here
Incorrect because Azure Synapse Pipeline is batch-oriented and does not provide native streaming with checkpointing from Event Hubs.
- ✗
Use PolyBase to load data directly from Event Hubs to the dedicated SQL pool.
Why it's wrong here
Incorrect because PolyBase cannot directly read from Event Hubs; it requires a file-based source.
- ✗
Use COPY INTO statement to ingest data from Event Hubs into the dedicated SQL pool.
Why it's wrong here
Incorrect because COPY INTO is for loading files, not for streaming from Event Hubs.
- ✓
Enable Event Hubs Capture to write data to Azure Data Lake Storage and then load using PolyBase.
Why this is correct
Correct because Event Hubs Capture provides persistent storage in ADLS, ensuring no data loss, and PolyBase then loads into SQL pool.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Event Hubs Capture
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap is that candidates may think A is correct, but Azure Synapse Pipeline does not natively support streaming checkpointing and auto-commit; it requires additional services. Option D uses Capture as a reliable staging area.
Detailed technical explanation
How to think about this question
Auto-commit and checkpointing in Azure Synapse Pipeline work by maintaining a checkpoint in a durable store (e.g., Azure Blob Storage) that records the last successfully processed Event Hubs offset; upon failure, the pipeline resumes from that offset, ensuring no data is lost. Under the hood, the pipeline uses the Event Processor Host (EPH) pattern with partition leasing and checkpointing, which is critical for high-throughput scenarios like 500 GB/hour where partition scaling and load balancing are essential to avoid backpressure.
KKey Concepts to Remember
- Event Hubs Capture
- PolyBase
- Dedicated SQL Pool
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
Event Hubs Capture
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.
What to study next
Got this wrong? Here's your next step.
Review event Hubs Capture, then practise related DP-203 questions on the same topic to reinforce the concept.
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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 — Event Hubs Capture.
What is the correct answer to this question?
The correct answer is: Enable Event Hubs Capture to write data to Azure Data Lake Storage and then load using PolyBase. — Option D is correct because Event Hubs Capture continuously writes data to Azure Data Lake Storage, providing a durable buffer that prevents data loss during transient failures. Once data is in ADLS, PolyBase reliably loads it into the dedicated SQL pool. This architecture ensures data is persisted at the event hub level before any pipeline processing, minimizing loss.
What should I do if I get this DP-203 question wrong?
Review event Hubs Capture, then practise related DP-203 questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Event Hubs Capture
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Last reviewed: Jun 24, 2026
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