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.
A company wants to ingest streaming data from IoT devices into Azure for real-time analytics. The data must be available for immediate querying and also stored long-term in a cost-effective format. Which Azure service should be used as the primary ingestion endpoint?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "primary"
Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
Azure SQL Database
Why wrong: Not designed for high-velocity streaming data.
Azure Event Hubs
Optimized for high-throughput streaming ingestion.
Azure Data Lake Storage Gen2
Why wrong: Not a real-time ingestion endpoint; used for storage.
Azure Blob Storage
Why wrong: Used for batch storage, not real-time streaming.
Answer choices
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 the correct primary ingestion endpoint for streaming IoT data because it is a fully managed, real-time data ingestion service optimized for high-throughput, low-latency event streaming. It can ingest millions of events per second from IoT devices and integrates natively with Azure Stream Analytics and other analytics services for immediate querying, while also supporting long-term retention via Event Hubs Capture to cost-effective storage like Azure Blob Storage or Data Lake Storage.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure SQL Database
Why it's wrong here
Not designed for high-velocity streaming data.
Azure Event Hubs
Why this is correct
Optimized for high-throughput streaming ingestion.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Azure Data Lake Storage Gen2
Why it's wrong here
Not a real-time ingestion endpoint; used for storage.
Azure Blob Storage
Why it's wrong here
Used for batch storage, not real-time streaming.
Common exam traps
The trap here is that candidates often confuse Azure Blob Storage or Data Lake Storage as ingestion endpoints because they are cost-effective for storage, but they lack the real-time streaming capabilities and event-ordering guarantees that Event Hubs provides for immediate querying.
Detailed technical explanation
Under the hood, Event Hubs uses a partitioned consumer model with a publish-subscribe pattern, where each partition is an ordered sequence of events that guarantees ordering within the partition. The Capture feature automatically writes ingested events to Azure Blob Storage or Data Lake Storage in Avro format, enabling cost-effective long-term storage without additional code. In a real-world scenario, a fleet of IoT sensors sending telemetry at 10,000 events per second can use Event Hubs with multiple throughput units to scale ingestion, then route data to Stream Analytics for real-time dashboards while Capture archives raw data for historical analysis.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Event Hubs — Azure Event Hubs is the correct primary ingestion endpoint for streaming IoT data because it is a fully managed, real-time data ingestion service optimized for high-throughput, low-latency event streaming. It can ingest millions of events per second from IoT devices and integrates natively with Azure Stream Analytics and other analytics services for immediate querying, while also supporting long-term retention via Event Hubs Capture to cost-effective storage like Azure Blob Storage or Data Lake Storage.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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