CLF-C02 Cloud Concepts Practice Question
Which cloud concept describes the ability of cloud services to remain operational even when individual components fail, through techniques like redundancy, replication, and automatic failover?
⚠ Common exam trap
AWS often tests the distinction between fault tolerance and high availability (HA), where the trap is that candidates confuse 'remaining operational during failures' (fault tolerance) with 'quickly recovering from failures' (HA), but in this question the explicit mention of redundancy, replication, and automatic failover points directly to fault tolerance.
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
✓
Fault tolerance
Fault tolerance is the correct answer because it directly refers to a system's ability to continue operating without interruption when one or more of its components fail. This is achieved through techniques such as redundancy (e.g., deploying multiple EC2 instances across Availability Zones), replication (e.g., synchronously replicating data in Amazon RDS Multi-AZ), and automatic failover (e.g., Route 53 health checks triggering a switch to a standby resource). The core goal is to eliminate single points of failure and maintain service availability despite underlying failures.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Scalability
Why it's wrong here
Scalability is the ability to handle growing workloads by adding resources, either vertically by upgrading instance sizes or horizontally by adding more instances. It is fundamentally a capacity management concept that addresses demand growth rather than component failure. While scaling out can place multiple instances behind a load balancer, it does not inherently provide automatic health checks, failover, or data redundancy, so a single component failure can still cause downtime.
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Elasticity
Why it's wrong here
Elasticity is the automatic adjustment of computing capacity to match fluctuating demand, typically implemented with AWS Auto Scaling or architecture such as AWS Lambda. It is a cost-optimization and performance feature, not a fault-handling mechanism. Elasticity alone reacts to changes in load; it does not detect unhealthy instances, restart failed processes, or maintain data consistency during an infrastructure failure, so it does not ensure system continuity when a component fails.
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Fault tolerance
Why this is correct
Fault tolerance is the design principle that allows a system to continue operating correctly even when one or more of its components fail. It is achieved through redundancy, data replication, and automatic failover—for example, using multi-AZ deployments, Amazon RDS Multi-AZ, and Amazon S3's built-in durability. The goal is to provide zero or minimal disruption to service, ensuring continuous operation without requiring human intervention when a failure occurs.
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Agility
Why it's wrong here
Agility refers to the speed and flexibility with which an organization can provision, modify, and release cloud resources, enabling rapid experimentation and shorter development cycles. It emphasizes development velocity and the ability to adapt to changing business requirements, not operational resilience or recovery from component failures. AWS CloudFormation and CI/CD pipelines improve agility, but they do not inherently make a workload fault-tolerant unless combined with redundant, highly available architectures.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services 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 CLF-C02 exam.