- A
Azure Data Lake Storage Gen2
Why wrong: Azure Data Lake Storage Gen2 is a scalable data lake for storing structured and unstructured data, but it is not optimized for real-time ingestion. It is better suited for storage after ingestion, not the initial raw data capture.
- B
Azure Event Hubs
Azure Event Hubs is a fully managed, real-time data ingestion service optimized for high-throughput streaming data from IoT devices. It can receive millions of events per second, store them in a partitioned, ordered log for immediate processing, and retain them for later transformation. This makes it the correct choice for raw data ingestion.
- C
Azure Stream Analytics
Why wrong: Azure Stream Analytics is a real-time analytics service that processes and transforms data in motion. It is used for processing data after ingestion, not for the initial raw data capture. Therefore, it is not the service for raw data ingestion.
- D
Azure Data Factory
Why wrong: Azure Data Factory is a data integration service used for orchestrating and managing data pipelines, typically for batch processing and ETL. It is not designed for high-throughput real-time ingestion of streaming data.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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 storage solution for real-time streaming data from IoT devices. The data must be stored in its original format for immediate processing and later transformed for analytics. Which Azure service should you use for raw data ingestion?
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 Event Hubs is a fully managed, real-time data ingestion service optimized for high-throughput streaming data from IoT devices. It can receive millions of events per second, store them in a partitioned, ordered log for immediate processing, and retain them for up to 7 days (or longer with Event Hubs Capture) for later transformation and analytics. This makes it the correct choice for raw data ingestion before any transformation occurs.
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.
- ✗
Azure Data Lake Storage Gen2
Why it's wrong here
Azure Data Lake Storage Gen2 is a scalable data lake for storing structured and unstructured data, but it is not optimized for real-time ingestion. It is better suited for storage after ingestion, not the initial raw data capture.
- ✓
Azure Event Hubs
Why this is correct
Azure Event Hubs is a fully managed, real-time data ingestion service optimized for high-throughput streaming data from IoT devices. It can receive millions of events per second, store them in a partitioned, ordered log for immediate processing, and retain them for later transformation. This makes it the correct choice for raw data ingestion.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Stream Analytics
Why it's wrong here
Azure Stream Analytics is a real-time analytics service that processes and transforms data in motion. It is used for processing data after ingestion, not for the initial raw data capture. Therefore, it is not the service for raw data ingestion.
- ✗
Azure Data Factory
Why it's wrong here
Azure Data Factory is a data integration service used for orchestrating and managing data pipelines, typically for batch processing and ETL. It is not designed for high-throughput real-time ingestion of streaming data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse data ingestion (Event Hubs) with data storage (Data Lake Storage) or data processing (Stream Analytics), assuming a single service must handle both raw capture and transformation, when in fact the question explicitly asks for raw data ingestion only.
Detailed technical explanation
How to think about this question
Event Hubs uses an AMQP 1.0 and HTTPS-based protocol for ingestion, with each event stored in a partitioned log that guarantees ordering within a partition. The Capture feature automatically writes raw events to Azure Blob Storage or Data Lake Storage in Avro format, enabling seamless later transformation without additional code. In a real-world scenario, a fleet of thousands of sensors sending telemetry every second would overwhelm a batch service, but Event Hubs can handle this with auto-inflate and throughput units (TUs) scaling.
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.
TExam Day Tips
- 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.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Event Hubs — Azure Event Hubs is a fully managed, real-time data ingestion service optimized for high-throughput streaming data from IoT devices. It can receive millions of events per second, store them in a partitioned, ordered log for immediate processing, and retain them for up to 7 days (or longer with Event Hubs Capture) for later transformation and analytics. This makes it the correct choice for raw data ingestion before any transformation occurs.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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