- A
The ability to automatically scale resources during peak usage
Why wrong: Automatic scaling describes elasticity, not fault tolerance.
- B
The ability to continue operating correctly despite component failures
Fault tolerance means the system keeps working even when individual components fail, thanks to redundancy.
- C
The ability to restore data after a major disaster
Why wrong: Restoring data after disasters describes disaster recovery, not fault tolerance.
- D
The ability to deploy applications in multiple geographic regions
Why wrong: Multi-region deployment describes geo-distribution, not specifically fault tolerance.
AZ-900 Describe cloud concepts Practice Question
This AZ-900 practice question tests your understanding of describe cloud concepts. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
What is 'fault tolerance' in cloud computing?
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
The ability to continue operating correctly despite component failures
Fault tolerance in cloud computing refers to a system's ability to continue operating correctly, without interruption, even when one or more of its components fail. This is achieved through redundancy—such as duplicate hardware, software, or data paths—so that if a component fails, another automatically takes over without any impact on the user. It is a core design principle for high-availability systems, ensuring zero downtime despite failures.
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.
- ✗
The ability to automatically scale resources during peak usage
Why it's wrong here
Automatic scaling describes elasticity, not fault tolerance.
- ✓
The ability to continue operating correctly despite component failures
Why this is correct
Fault tolerance means the system keeps working even when individual components fail, thanks to redundancy.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The ability to restore data after a major disaster
Why it's wrong here
Restoring data after disasters describes disaster recovery, not fault tolerance.
- ✗
The ability to deploy applications in multiple geographic regions
Why it's wrong here
Multi-region deployment describes geo-distribution, not specifically fault tolerance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'fault tolerance' with 'disaster recovery' (Option C) or 'high availability' (which is related but not identical), leading them to pick a broader or adjacent concept instead of the precise definition of continued operation during component failures.
Detailed technical explanation
How to think about this question
Under the hood, fault tolerance often relies on redundant arrays of independent disks (RAID), redundant power supplies, or clustered servers with failover mechanisms like Microsoft's Failover Clustering or Azure Availability Zones. A subtle behavior is that fault-tolerant systems must detect failures instantly (e.g., via heartbeat signals) and switch to a redundant component without data loss or session interruption, which requires synchronous replication or active-active configurations. In a real-world scenario, an Azure SQL Database configured with zone-redundancy uses synchronous data replication across three availability zones to ensure that if one zone fails, the database continues operating with no data loss.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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-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: The ability to continue operating correctly despite component failures — Fault tolerance in cloud computing refers to a system's ability to continue operating correctly, without interruption, even when one or more of its components fail. This is achieved through redundancy—such as duplicate hardware, software, or data paths—so that if a component fails, another automatically takes over without any impact on the user. It is a core design principle for high-availability systems, ensuring zero downtime despite failures.
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.
About these practice questions
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Last reviewed: Jun 11, 2026
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