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 developing a data processing solution in Azure Synapse Analytics. The solution must support both batch and streaming data ingestion into a dedicated SQL pool. You need to ensure that data from streaming sources is available for queries within 5 seconds. Which approach should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Azure Stream Analytics with a custom SQL function that writes directly to the dedicated SQL pool
Using Azure Stream Analytics with a custom function to write to the dedicated SQL pool via a stored procedure can achieve low latency. Option A is wrong because Azure Data Factory is batch-only. Option B is wrong because Event Hubs Capture writes in batches (minutes). Option D is wrong because Spark Structured Streaming to Data Lake and then PolyBase introduces additional latency.
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.
✓
Use Azure Stream Analytics with a custom SQL function that writes directly to the dedicated SQL pool
Why this is correct
Stream Analytics can achieve sub-second latency and write directly to SQL pool via a stored procedure.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Azure Databricks with Structured Streaming, write to Data Lake Storage, and then use PolyBase to load into SQL pool
Why it's wrong here
PolyBase loads are batch-oriented and introduce latency.
✗
Use Azure Data Factory with tumbling window triggers to load data from Event Hubs every 5 seconds
Why it's wrong here
Data Factory is not designed for sub-minute latency.
✗
Use Event Hubs Capture to write to Data Lake Storage, then use PolyBase to load into the SQL pool every 5 seconds
Why it's wrong here
Capture has a minimum interval of 1 minute.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
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.
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: Use Azure Stream Analytics with a custom SQL function that writes directly to the dedicated SQL pool — Using Azure Stream Analytics with a custom function to write to the dedicated SQL pool via a stored procedure can achieve low latency. Option A is wrong because Azure Data Factory is batch-only. Option B is wrong because Event Hubs Capture writes in batches (minutes). Option D is wrong because Spark Structured Streaming to Data Lake and then PolyBase introduces additional latency.
What should I do if I get this DP-203 question wrong?
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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