CLF-C02 Cloud Concepts Practice Question
A company deploys their web application across two Availability Zones using an Application Load Balancer. If one AZ experiences an outage, traffic is automatically routed to the other AZ and the application continues to function. Which cloud benefit does this demonstrate?
⚠ Common exam trap
It's easy for candidates to confuse high availability/fault tolerance with rapid elasticity, because both involve automatic responses to changing conditions, but elasticity handles scaling capacity while fault tolerance handles failure recovery.
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
✓
High availability and fault tolerance
This scenario demonstrates high availability and fault tolerance because the application is deployed across two Availability Zones with an Application Load Balancer (ALB) distributing traffic. If one AZ fails, the ALB automatically reroutes traffic to the healthy AZ, ensuring continuous operation. This design eliminates a single point of failure and maintains service availability, which is the core of fault tolerance in AWS.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Economies of scale
Why it's wrong here
Economies of scale in AWS refers to the cost-per-unit reduction that customers gain because AWS aggregates massive purchasing power for infrastructure and passes savings along. This is fundamentally a financial benefit from the provider's scale, unrelated to the operational resilience of running your application across multiple Availability Zones. Multi-AZ high availability requires deliberately architecting redundancy, which incurs cost rather than saving it, so this option mistakes a price advantage for an uptime guarantee.
- ✗
On-demand self-service
Why it's wrong here
On-demand self-service means users can provision and configure computing resources automatically via a web console, CLI, or API, without requiring manual intervention from AWS staff. This characteristic reduces procurement lead time and enables agility, but it does not address what happens when an Availability Zone becomes unavailable. Multi-AZ deployment is about architectural redundancy—replicating infrastructure across physically isolated zones—which is a continuity concern, not a provisioning convenience.
- ✓
High availability and fault tolerance
Why this is correct
Deploying an application across multiple Availability Zones, with services like Elastic Load Balancing and Auto Scaling spanning those zones, creates an architecture that automatically shifts traffic away from a failed zone and continues serving users. Because AZs are geographically distinct with independent power, cooling, and networking, a failure in one does not impact the others, enabling both high availability (minimized downtime) and fault tolerance (continued operation). This is a unique benefit of cloud infrastructure—on-premises data centers would require building entire duplicate sites, whereas AWS regions already provide the physical separation needed for such resilience.
- ✗
Rapid elasticity
Why it's wrong here
Rapid elasticity concerns dynamically scaling compute resources up or down to match fluctuating workload demand, which is a horizontal/vertical scaling property, not a resiliency property. Multi-AZ deployment keeps the system running after an Availability Zone failure by running redundant workloads in parallel, and it does not require altering capacity in response to load. Therefore, while both are cloud benefits, rapid elasticity addresses performance/cost agility, not the fault-tolerant continuity that multi-AZ provides.
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