- A
Azure Event Hubs, Azure Data Lake Storage, and Azure Stream Analytics
Event Hubs ingests high-velocity data, Data Lake Storage stores data for long-term analytics, and Stream Analytics provides real-time dashboards.
- B
Azure Service Bus, Azure SQL Database, and Power BI
Why wrong: Service Bus is for messaging, not high-velocity ingestion. SQL Database is not suitable for long-term analytics at scale.
- C
Azure Cosmos DB, Azure Data Explorer, and Azure Logic Apps
Why wrong: Cosmos DB is for operational workloads, not long-term analytics. Data Explorer is good for analytics but not for real-time dashboards.
- D
Azure IoT Hub, Azure Blob Storage, and Azure Functions
Why wrong: IoT Hub is for device management, not high-velocity ingestion. Blob Storage is not optimized for long-term analytics. Functions are not designed for real-time dashboards.
Quick Answer
The answer is Azure Event Hubs, Azure Data Lake Storage, and Azure Stream Analytics. This combination is correct because it forms a complete Azure IoT streaming data pipeline architecture: Event Hubs is purpose-built for high-velocity data ingestion from millions of devices, Data Lake Storage provides scalable, cost-effective long-term storage for analytics, and Stream Analytics enables real-time processing and dashboard outputs. On the AZ-305 exam, this scenario tests your ability to match Azure services to specific pipeline phases—ingestion, storage, and processing—rather than selecting services with overlapping functions. A common trap is choosing Azure IoT Hub, which is optimized for bidirectional device management and telemetry, not pure high-velocity ingestion at massive scale. Remember the pipeline flow: Ingest with Event Hubs, Store in Data Lake, Analyze with Stream Analytics. A useful memory tip is “Event In, Lake Store, Stream Analyze”—three distinct services for three distinct pipeline stages.
AZ-305 Design infrastructure solutions Practice Question
This AZ-305 practice question tests your understanding of design infrastructure solutions. 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.
Your organization is designing a solution to capture and analyze IoT data from millions of devices. The solution must ingest data at high velocity, store the data for long-term analytics, and provide real-time dashboards. Which combination of Azure services should you recommend?
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 Event Hubs, Azure Data Lake Storage, and Azure Stream Analytics
Option A is correct because Azure Event Hubs ingests high-velocity data, Azure Data Lake Storage stores data for long-term analytics, and Azure Stream Analytics provides real-time processing and dashboards. Option B is incorrect because Azure IoT Hub is for device management and telemetry, but it is not optimized for high-velocity ingestion from millions of devices. Option C is incorrect because Azure Service Bus is for messaging, not high-velocity ingestion. Option D is incorrect because Azure Cosmos DB is for operational workloads, not long-term analytics.
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 Lake Storage, and Azure Stream Analytics
Why this is correct
Event Hubs ingests high-velocity data, Data Lake Storage stores data for long-term analytics, and Stream Analytics provides real-time dashboards.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Azure Service Bus, Azure SQL Database, and Power BI
Why it's wrong here
Service Bus is for messaging, not high-velocity ingestion. SQL Database is not suitable for long-term analytics at scale.
- ✗
Azure Cosmos DB, Azure Data Explorer, and Azure Logic Apps
Why it's wrong here
Cosmos DB is for operational workloads, not long-term analytics. Data Explorer is good for analytics but not for real-time dashboards.
- ✗
Azure IoT Hub, Azure Blob Storage, and Azure Functions
Why it's wrong here
IoT Hub is for device management, not high-velocity ingestion. Blob Storage is not optimized for long-term analytics. Functions are not designed for real-time dashboards.
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 AZ-305 NAT questions on configuration and troubleshooting.
- →
Design infrastructure solutions — study guide chapter
Learn the concepts, then practise the questions
- →
Design infrastructure solutions practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this AZ-305 question test?
Design infrastructure solutions — This question tests Design infrastructure solutions — 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 Data Lake Storage, and Azure Stream Analytics — Option A is correct because Azure Event Hubs ingests high-velocity data, Azure Data Lake Storage stores data for long-term analytics, and Azure Stream Analytics provides real-time processing and dashboards. Option B is incorrect because Azure IoT Hub is for device management and telemetry, but it is not optimized for high-velocity ingestion from millions of devices. Option C is incorrect because Azure Service Bus is for messaging, not high-velocity ingestion. Option D is incorrect because Azure Cosmos DB is for operational workloads, not long-term analytics.
What should I do if I get this AZ-305 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 AZ-305 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
2 more ways this is tested on AZ-305
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is designing a solution for a data analytics workload. The company receives streaming data from multiple sources, including IoT devices and social media feeds. The data must be ingested, processed in real-time, and stored for historical analysis. The company also wants to use Power BI to create real-time dashboards from the streaming data. You need to recommend a data pipeline architecture. What should you include?
hard- A.Use Azure IoT Hub for ingestion, Azure Stream Analytics for processing, and Power BI for dashboards.
- B.Use Azure Event Hubs for ingestion, Azure Data Lake Analytics for processing, and Power BI for dashboards.
- ✓ C.Use Azure Event Hubs for ingestion, Azure Stream Analytics for real-time processing, and Power BI for dashboards.
- D.Use Azure Event Hubs for ingestion, Azure Synapse Analytics for processing, and Power BI for dashboards.
Why C: Option A is correct because Azure Event Hubs ingests streaming data, Azure Stream Analytics processes it in real-time, and outputs to Power BI for real-time dashboards. Data can also be stored in Azure Blob Storage for historical analysis. Option B is wrong because Azure IoT Hub is for IoT devices only. Option C is wrong because Azure Data Lake Analytics is for batch processing. Option D is wrong because Azure Synapse Analytics is for big data analytics, not real-time streaming.
Variation 2. Your organization is designing a data platform for real-time analytics on streaming data from IoT devices. The solution must ingest millions of events per second, process the data with low latency, and store results in a format optimized for analytical queries. Which THREE Azure services should you include in the design? (Choose THREE.)
hard- ✓ A.Azure Event Hubs
- ✓ B.Azure Stream Analytics
- C.Azure Functions
- ✓ D.Azure Synapse Analytics
- E.Azure IoT Hub
Why A: Option A (Azure Event Hubs) is for high-throughput ingestion. Option C (Azure Stream Analytics) for real-time processing. Option E (Azure Synapse Analytics) for analytical storage. Option B (Azure IoT Hub) is for device management, not high-throughput ingestion. Option D (Azure Functions) is for serverless compute, not stream processing at scale.
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Last reviewed: Jun 20, 2026
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