The correct combination is Azure Event Hubs, Azure Functions, and Azure Cosmos DB because this architecture enables real-time streaming ingestion, serverless processing, and low-latency storage in a single pipeline. Event Hubs captures high-throughput clickstream data, Azure Functions performs lightweight transformations like sessionization or enrichment on each event, and Cosmos DB provides millisecond response times for key-value queries on user sessions. On the DP-203 exam, this scenario tests your understanding of choosing the right services for near real-time ingestion and operational storage, often contrasting with analytical pipelines that use Stream Analytics or batch-oriented sinks like Blob Storage. A common trap is selecting Azure SQL Database for low-latency queries, but Cosmos DB’s distributed, schema-agnostic design is purpose-built for this workload. Remember the memory tip: “Event Hubs for the stream, Functions for the transform, Cosmos for the query—keep it real-time and lean.”
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 a retail company. The solution must ingest clickstream data from a website, process it in near real-time to update user session information, and store the results in Azure Cosmos DB for low-latency queries. Which combination of Azure services should you use?
Why wrong: Stream Analytics can output to Cosmos DB, but for sessionization, Functions may be more flexible; however, this is also plausible but less common for custom logic.
D
Azure Event Hubs -> Azure Functions -> Azure Cosmos DB
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Event Hubs -> Azure Functions -> Azure Cosmos DB
Option D is correct because Azure Event Hubs ingests streaming data, Azure Functions processes it (e.g., for sessionization), and Cosmos DB stores it. Option A is wrong because Azure SQL Database is not ideal for low-latency key-value queries. Option B is wrong because Blob Storage is not designed for real-time querying. Option C is wrong because Stream Analytics is more for analytical processing, but Cosmos DB is correct, but the combination with Azure SQL DB is not optimal.
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.
Stream Analytics can output to Cosmos DB, but for sessionization, Functions may be more flexible; however, this is also plausible but less common for custom logic.
✓
Azure Event Hubs -> Azure Functions -> Azure Cosmos DB
Static NAT maps one inside address to one outside address.
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.
Trap categories for this question
Command / output trap
Stream Analytics can output to Cosmos DB, but for sessionization, Functions may be more flexible; however, this is also plausible but less common for custom logic.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
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.
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 Event Hubs -> Azure Functions -> Azure Cosmos DB — Option D is correct because Azure Event Hubs ingests streaming data, Azure Functions processes it (e.g., for sessionization), and Cosmos DB stores it. Option A is wrong because Azure SQL Database is not ideal for low-latency key-value queries. Option B is wrong because Blob Storage is not designed for real-time querying. Option C is wrong because Stream Analytics is more for analytical processing, but Cosmos DB is correct, but the combination with Azure SQL DB is not optimal.
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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Question Discussion
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