- A
Azure Event Hubs, Azure Data Factory, and Azure SQL Database.
Why wrong: Event Hubs ingests events but Data Factory is batch-oriented; SQL Database is not optimized for high-velocity data.
- B
Azure IoT Hub, Azure Stream Analytics, and Azure Functions.
IoT Hub ingests device data, Stream Analytics performs per-minute aggregation and alerting, and Functions can output to Data Lake Storage.
- C
Azure IoT Hub, Azure Databricks with Structured Streaming, and Azure Data Lake Storage Gen2.
Why wrong: Databricks can do streaming but is overkill for simple aggregation; alerting would require additional components.
- D
Azure Event Hubs, Azure Data Explorer, and Power BI.
Why wrong: Data Explorer is for analytics, not for real-time alerting; Power BI is for visualization.
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 near-real-time data processing solution that ingests millions of events per second from IoT devices. The data must be aggregated on a per-minute basis and stored in Azure Data Lake Storage Gen2 for long-term analytics. The solution must also support alerting when certain thresholds are exceeded. Which combination of Azure services 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
Azure IoT Hub, Azure Stream Analytics, and Azure Functions.
Option D is correct because Azure IoT Hub ingests device data, Azure Stream Analytics performs real-time aggregation and alerting, and Azure Functions can write aggregated results to Data Lake Storage. Option A (Azure Event Hubs) is a generic event broker but lacks device management capabilities. Option B (Azure Databricks) is more suited for complex analytics than simple aggregation. Option C (Azure Data Explorer) is for ad-hoc analytics, not for streaming aggregation with alerting.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 Event Hubs, Azure Data Factory, and Azure SQL Database.
Why it's wrong here
Event Hubs ingests events but Data Factory is batch-oriented; SQL Database is not optimized for high-velocity data.
- ✓
Azure IoT Hub, Azure Stream Analytics, and Azure Functions.
Why this is correct
IoT Hub ingests device data, Stream Analytics performs per-minute aggregation and alerting, and Functions can output to Data Lake Storage.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Azure IoT Hub, Azure Databricks with Structured Streaming, and Azure Data Lake Storage Gen2.
Why it's wrong here
Databricks can do streaming but is overkill for simple aggregation; alerting would require additional components.
- ✗
Azure Event Hubs, Azure Data Explorer, and Power BI.
Why it's wrong here
Data Explorer is for analytics, not for real-time alerting; Power BI is for visualization.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
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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 — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Azure IoT Hub, Azure Stream Analytics, and Azure Functions. — Option D is correct because Azure IoT Hub ingests device data, Azure Stream Analytics performs real-time aggregation and alerting, and Azure Functions can write aggregated results to Data Lake Storage. Option A (Azure Event Hubs) is a generic event broker but lacks device management capabilities. Option B (Azure Databricks) is more suited for complex analytics than simple aggregation. Option C (Azure Data Explorer) is for ad-hoc analytics, not for streaming aggregation with alerting.
What should I do if I get this DP-203 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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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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