Question 179 of 999
Design data storage solutionsmediumMultiple SelectObjective-mapped

Quick Answer

The answer is Azure Event Hubs and Azure Stream Analytics. This combination is correct because Event Hubs provides the high-throughput, low-latency ingestion layer capable of handling millions of events per second from IoT devices, while Stream Analytics natively integrates to perform complex event processing (CEP) on that streaming telemetry data, enabling real-time pattern matching, aggregation, and alerting for both live dashboards and durable historical storage. On the AZ-305 exam, this pairing tests your understanding of designing a high-velocity IoT telemetry pipeline that balances real-time analytics with long-term retention; a common trap is choosing Azure IoT Hub instead of Event Hubs for pure telemetry ingestion, but remember that IoT Hub is for device management and bidirectional communication, whereas Event Hubs is optimized for massive-scale event streaming. For a memory tip, think of Event Hubs as the “firehose” and Stream Analytics as the “brain” that processes the deluge—together they handle velocity and complexity without a single bottleneck.

AZ-305 Design data storage solutions Practice Question

This AZ-305 practice question tests your understanding of design data storage 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.

A company is designing a data storage solution for its IoT devices that generate telemetry data. The data is ingested at high velocity (millions of events per second) and must be stored for real-time dashboards and historical analysis. The solution must also support complex event processing and alerting. Which two Azure services should the company use together? (Choose two.)

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 the correct choice because it is a high-throughput data ingestion service designed to handle millions of events per second from IoT devices, providing low-latency, durable event capture for real-time dashboards and historical analysis. Azure Stream Analytics is the correct companion service because it natively integrates with Event Hubs to perform complex event processing (CEP), such as pattern matching, aggregation, and alerting, on the streaming telemetry data in real time.

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 IoT Hub

    Why it's wrong here

    More suited for device management, not as high-throughput.

  • Azure Event Hubs

    Why this is correct

    High-throughput event ingestion.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure Stream Analytics

    Why this is correct

    Real-time stream processing and alerting.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure Synapse Analytics

    Why it's wrong here

    Not for real-time stream processing.

  • Azure Data Lake Storage Gen2

    Why it's wrong here

    Storage only, no real-time processing.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Azure IoT Hub with Event Hubs, assuming IoT Hub is the default for all IoT data ingestion, but IoT Hub is for device management and lower-throughput scenarios, while Event Hubs is the correct choice for high-velocity, multi-million-events-per-second telemetry ingestion.

Detailed technical explanation

How to think about this question

Event Hubs uses a partitioned consumer model with AMQP 1.0 and HTTPS protocols, enabling parallel processing of millions of events per second across multiple consumer groups. Stream Analytics uses a temporal SQL-like query language to define windowed aggregations, pattern matches (e.g., missing events), and alert conditions, and it can output results to multiple sinks (e.g., Power BI, SQL Database) simultaneously. In a real-world scenario, IoT telemetry from thousands of sensors can be ingested into Event Hubs, then Stream Analytics can detect anomalies like temperature spikes and trigger alerts within seconds.

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 AZ-305 question test?

Design data storage solutions — This question tests Design data storage solutions — 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 the correct choice because it is a high-throughput data ingestion service designed to handle millions of events per second from IoT devices, providing low-latency, durable event capture for real-time dashboards and historical analysis. Azure Stream Analytics is the correct companion service because it natively integrates with Event Hubs to perform complex event processing (CEP), such as pattern matching, aggregation, and alerting, on the streaming telemetry data in real time.

What should I do if I get this AZ-305 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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