- A
Hybrid cloud
Why wrong: Hybrid cloud combines on-premises and public cloud — the concept here specifically involves processing at the data source location.
- B
Edge computing
Edge computing processes data locally near the source (factory floor) to reduce latency before sending to the cloud.
- C
Public cloud
Why wrong: Public cloud is provider-hosted infrastructure — it doesn't describe local processing at the data source.
- D
Disaster recovery
Why wrong: Disaster recovery is about business continuity after failures — not about reducing processing latency.
Quick Answer
The answer is edge computing. This is correct because the scenario describes processing IoT sensor data locally on the factory floor to reduce latency, which is the defining characteristic of edge computing—bringing computation and data storage closer to the data source rather than relying on a centralized cloud data center. On the Microsoft Azure Fundamentals AZ-900 exam, this concept tests your ability to distinguish edge computing from hybrid cloud, where hybrid cloud would involve a mix of on-premises and public cloud resources but not necessarily local processing for latency reduction. A common trap is confusing edge computing with hybrid cloud, but remember: edge computing focuses on local processing to minimize delay, while hybrid cloud is about workload placement across environments. Memory tip: think of the “edge” of the network—like the factory floor—where data is born, and you process it there before sending summaries to the cloud.
AZ-900 Describe cloud concepts Practice Question
This AZ-900 practice question tests your understanding of describe cloud concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 wants to process IoT sensor data locally at their factory floor to reduce latency before sending summarized data to the cloud. Which cloud computing concept does this represent?
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
Edge computing
Edge computing is the correct concept because it involves processing data near the source (the factory floor) rather than sending it to a centralized cloud data center. This reduces latency by performing initial analysis locally, with only summarized results transmitted to the cloud. The scenario explicitly describes local processing to minimize delay, which is the core purpose of edge computing.
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.
- ✗
Hybrid cloud
Why it's wrong here
Hybrid cloud combines on-premises and public cloud — the concept here specifically involves processing at the data source location.
- ✓
Edge computing
Why this is correct
Edge computing processes data locally near the source (factory floor) to reduce latency before sending to the cloud.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Public cloud
Why it's wrong here
Public cloud is provider-hosted infrastructure — it doesn't describe local processing at the data source.
- ✗
Disaster recovery
Why it's wrong here
Disaster recovery is about business continuity after failures — not about reducing processing latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse hybrid cloud with edge computing, thinking that any on-premises component automatically implies hybrid cloud, but edge computing specifically focuses on local data processing for latency reduction, not just a mix of cloud and on-premises resources.
Detailed technical explanation
How to think about this question
Edge computing typically uses lightweight gateways or IoT Edge devices (e.g., Azure IoT Edge) that run containerized modules locally to filter, aggregate, or analyze data before sending summaries to the cloud. This reduces bandwidth usage and enables sub-100ms response times critical for industrial automation. A real-world scenario is predictive maintenance on a factory line, where vibration sensor data is processed locally to detect anomalies instantly, while only trend data is sent to Azure for long-term analysis.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AZ-900 question test?
Describe cloud concepts — This question tests Describe cloud concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Edge computing — Edge computing is the correct concept because it involves processing data near the source (the factory floor) rather than sending it to a centralized cloud data center. This reduces latency by performing initial analysis locally, with only summarized results transmitted to the cloud. The scenario explicitly describes local processing to minimize delay, which is the core purpose of edge computing.
What should I do if I get this AZ-900 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 11, 2026
This AZ-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 AZ-900 exam.
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