- A
Use Azure IoT Hub to ingest data, Azure Stream Analytics for real-time processing, and Azure Blob Storage for long-term storage.
IoT Hub, Stream Analytics, and Blob Storage form a scalable real-time pipeline.
- B
Use Azure IoT Hub to ingest data, Azure Cosmos DB for storage, and Azure Functions for processing.
Why wrong: Cosmos DB is expensive for telemetry storage; Functions are not ideal for high-throughput streaming.
- C
Use Azure IoT Hub to ingest data, Azure Data Lake Storage for storage, and Azure Stream Analytics for processing.
Why wrong: Data Lake Storage is for analytics, not real-time processing.
- D
Use Azure Event Hubs to ingest data, Azure Databricks for processing, and Azure Blob Storage for storage.
Why wrong: Event Hubs is for ingestion, but Databricks adds complexity and cost.
Quick Answer
The correct design includes Azure IoT Hub for ingestion, Azure Stream Analytics for real-time processing, and Azure Blob Storage for long-term storage. This combination directly addresses the need for an IoT real-time data pipeline that handles high-throughput sensor telemetry with low-latency analytics, as Azure IoT Hub securely ingests millions of events per second, Stream Analytics applies windowed queries and filters on the fly, and Blob Storage provides durable, cost-effective storage for historical data used by Azure Machine Learning. On the AZ-305 exam, this scenario tests your ability to match Azure services to specific pipeline stages—ingestion, processing, and storage—without overcomplicating the architecture. A common trap is choosing Azure Data Lake Storage or Cosmos DB for the storage layer, but remember that Blob Storage is the standard for raw telemetry archives, while Data Lake Storage is better suited for structured big data analytics. Another trap is selecting Event Hubs with Databricks, which adds unnecessary complexity for straightforward stream processing. Memory tip: think “Ingest with Hub, Process with Stream, Store in Blob” to lock in the core pipeline.
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.
A manufacturing company is designing an IoT solution to monitor equipment in real-time. Thousands of sensors send telemetry data every second. The data must be ingested, processed, and stored for analysis. The solution must handle high throughput and provide low-latency analytics. Additionally, the company wants to use Azure Machine Learning to predict equipment failures based on historical data. You need to design a data pipeline that meets these requirements. What should you include in the design?
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
Use Azure IoT Hub to ingest data, Azure Stream Analytics for real-time processing, and Azure Blob Storage for long-term storage.
Option A is correct because Azure IoT Hub ingests sensor data, Azure Stream Analytics processes the stream in real-time with low latency, and Azure Blob Storage stores the data for historical analysis. Option B is wrong because Azure Data Lake Storage is for big data analytics, not real-time processing. Option C is wrong because Azure Cosmos DB is a NoSQL database, but the primary processing should be with Stream Analytics. Option D is wrong because Azure Event Hubs is for ingestion, but Azure Databricks is overkill for simple real-time analytics.
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.
- ✓
Use Azure IoT Hub to ingest data, Azure Stream Analytics for real-time processing, and Azure Blob Storage for long-term storage.
Why this is correct
IoT Hub, Stream Analytics, and Blob Storage form a scalable real-time pipeline.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Azure IoT Hub to ingest data, Azure Cosmos DB for storage, and Azure Functions for processing.
Why it's wrong here
Cosmos DB is expensive for telemetry storage; Functions are not ideal for high-throughput streaming.
- ✗
Use Azure IoT Hub to ingest data, Azure Data Lake Storage for storage, and Azure Stream Analytics for processing.
Why it's wrong here
Data Lake Storage is for analytics, not real-time processing.
- ✗
Use Azure Event Hubs to ingest data, Azure Databricks for processing, and Azure Blob Storage for storage.
Why it's wrong here
Event Hubs is for ingestion, but Databricks adds complexity and cost.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Identify which AZ-305 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
- →
Design infrastructure solutions — study guide chapter
Learn the concepts, then practise the questions
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure IoT Hub to ingest data, Azure Stream Analytics for real-time processing, and Azure Blob Storage for long-term storage. — Option A is correct because Azure IoT Hub ingests sensor data, Azure Stream Analytics processes the stream in real-time with low latency, and Azure Blob Storage stores the data for historical analysis. Option B is wrong because Azure Data Lake Storage is for big data analytics, not real-time processing. Option C is wrong because Azure Cosmos DB is a NoSQL database, but the primary processing should be with Stream Analytics. Option D is wrong because Azure Event Hubs is for ingestion, but Azure Databricks is overkill for simple real-time analytics.
What should I do if I get this AZ-305 question wrong?
Identify which AZ-305 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 2026
This AZ-305 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 AZ-305 exam.
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