- A
Use Azure Stream Analytics to transform the JSON data and output directly to the dedicated SQL pool.
Why wrong: Less efficient for small frequent loads and adds complexity.
- B
Use Azure Data Factory with a Copy activity to copy data from Event Hubs to Azure Data Lake Storage Gen2 as JSON files, then use a PolyBase activity to load from ADLS Gen2 to the dedicated SQL pool.
Simplifies staging and leverages PolyBase for efficient loading.
- C
Use Azure Databricks to read from Event Hubs, transform the data, and write to the dedicated SQL pool using JDBC.
Why wrong: Higher cost due to continuous cluster.
- D
Use PolyBase directly from Event Hubs to dedicated SQL pool by creating an external data source that points to Event Hubs.
Why wrong: PolyBase does not support Event Hubs as a data source.
Quick Answer
The correct approach is to use Azure Data Factory with a Copy activity to move streaming JSON data from Event Hubs to Azure Data Lake Storage Gen2 as JSON files, then use a PolyBase activity to load from ADLS Gen2 into the dedicated SQL pool. This works because PolyBase requires a file-based staging layer—it cannot read directly from Event Hubs—and ADLS Gen2 provides the necessary high-throughput, low-latency storage for the 100 MB every 5 minutes. On the DP-203 exam, this scenario tests your understanding of PolyBase’s staging dependency and the need to decouple ingestion from loading for frequent, small batches. A common trap is assuming PolyBase can connect directly to streaming sources like Event Hubs, which is unsupported; instead, always stage in ADLS Gen2 first. Memory tip: “Stream to store, then PolyBase to the floor”—data must land in files before PolyBase can load.
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 for an e-commerce company that uses Azure Synapse Analytics. The solution must process clickstream data from a web application. The data arrives in JSON format through Azure Event Hubs. You need to load the data into a dedicated SQL pool every 5 minutes with minimal latency. The data volume is about 100 MB every 5 minutes. You want to use PolyBase for loading. Which approach should you use?
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
Use Azure Data Factory with a Copy activity to copy data from Event Hubs to Azure Data Lake Storage Gen2 as JSON files, then use a PolyBase activity to load from ADLS Gen2 to the dedicated SQL pool.
Option A is correct because using Azure Data Factory to copy JSON data to ADLS Gen2 as a staging area, then using PolyBase to load into dedicated SQL pool, is efficient for small frequent loads. Option B is wrong because loading directly from Event Hubs using PolyBase is not supported. Option C is wrong because using Azure Stream Analytics adds unnecessary complexity. Option D is wrong because using Azure Databricks would require a cluster running continuously, increasing cost.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
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 to transform the JSON data and output directly to the dedicated SQL pool.
Why it's wrong here
Less efficient for small frequent loads and adds complexity.
- ✓
Use Azure Data Factory with a Copy activity to copy data from Event Hubs to Azure Data Lake Storage Gen2 as JSON files, then use a PolyBase activity to load from ADLS Gen2 to the dedicated SQL pool.
Why this is correct
Simplifies staging and leverages PolyBase for efficient loading.
Related concept
OSPF neighbours must agree on key parameters.
- ✗
Use Azure Databricks to read from Event Hubs, transform the data, and write to the dedicated SQL pool using JDBC.
Why it's wrong here
Higher cost due to continuous cluster.
- ✗
Use PolyBase directly from Event Hubs to dedicated SQL pool by creating an external data source that points to Event Hubs.
Why it's wrong here
PolyBase does not support Event Hubs as a data source.
Common exam traps
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related DP-203 OSPF questions on adjacency and route selection.
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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 — OSPF neighbours must agree on key parameters..
What is the correct answer to this question?
The correct answer is: Use Azure Data Factory with a Copy activity to copy data from Event Hubs to Azure Data Lake Storage Gen2 as JSON files, then use a PolyBase activity to load from ADLS Gen2 to the dedicated SQL pool. — Option A is correct because using Azure Data Factory to copy JSON data to ADLS Gen2 as a staging area, then using PolyBase to load into dedicated SQL pool, is efficient for small frequent loads. Option B is wrong because loading directly from Event Hubs using PolyBase is not supported. Option C is wrong because using Azure Stream Analytics adds unnecessary complexity. Option D is wrong because using Azure Databricks would require a cluster running continuously, increasing cost.
What should I do if I get this DP-203 question wrong?
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related DP-203 OSPF questions on adjacency and route selection.
What is the key concept behind this question?
OSPF neighbours must agree on key parameters.
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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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