Quick Answer
The answer is Azure IoT Hub. This service is specifically designed for bidirectional communication with IoT devices, supporting protocols like MQTT, AMQP, and HTTPS to enable real-time data ingestion from millions of devices while providing per-device authentication and built-in message routing to downstream services. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your ability to distinguish between services optimized for device-centric ingestion versus general event processing. A common trap is selecting Azure Event Hubs, which is a great choice for high-throughput telemetry but lacks the device management and bidirectional capabilities that IoT Hub offers. Remember the memory tip: "IoT Hub talks to things; Event Hubs listens to events." For real-time ingestion directly from IoT devices, always think of IoT Hub as the dedicated gateway.
This DP-900 practice question tests your understanding of describe core data concepts. 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.
Which TWO Azure services are appropriate for real-time data ingestion from IoT devices?
Azure IoT Hub
Specifically built for IoT device connectivity and ingestion.
Azure Data Factory
Why wrong: Primarily for batch ETL, not real-time ingestion.
Azure SQL Database
Why wrong: Relational database, not for real-time ingestion.
Azure Blob Storage
Why wrong: Storage service, not an ingestion service.
Azure Event Hubs
Designed for high-throughput event ingestion.
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 IoT Hub
Azure IoT Hub is designed specifically for bidirectional communication with IoT devices, supporting protocols like MQTT, AMQP, and HTTPS for real-time data ingestion. It provides per-device authentication, device management, and built-in message routing to downstream services, making it ideal for ingesting telemetry data from millions of devices in real time.
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 IoT Hub
Why this is correct
Specifically built for IoT device connectivity and ingestion.
Related concept
Read the scenario before looking for a memorised answer.
Azure Data Factory
Why it's wrong here
Primarily for batch ETL, not real-time ingestion.
Azure SQL Database
Why it's wrong here
Relational database, not for real-time ingestion.
Azure Blob Storage
Why it's wrong here
Storage service, not an ingestion service.
Azure Event Hubs
Why this is correct
Designed for high-throughput event ingestion.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse Azure IoT Hub (which provides device identity and management) with Azure Event Hubs (which is a generic event ingestion service), or mistakenly think that Azure Data Factory or Blob Storage can handle real-time IoT ingestion, when they are designed for batch or storage workloads respectively.
Detailed technical explanation
Azure IoT Hub supports device-to-cloud telemetry at scale using AMQP over WebSockets for firewalled environments, and can ingest up to 4 KB messages per device. It also integrates with Azure Event Hubs as a downstream endpoint for high-throughput event streaming, but Event Hubs itself is a separate service optimized for massive event ingestion from multiple sources, including IoT devices, with partition-based throughput units and checkpointing for replay.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Azure IoT Hub — Azure IoT Hub is designed specifically for bidirectional communication with IoT devices, supporting protocols like MQTT, AMQP, and HTTPS for real-time data ingestion. It provides per-device authentication, device management, and built-in message routing to downstream services, making it ideal for ingesting telemetry data from millions of devices in real time.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This DP-900 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-900 exam.
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