Cloud Digital Leader Why cloud technology is transforming business Practice Question
An e-commerce company plans its infrastructure for peak shopping events (e.g., Black Friday) which drive 50× normal traffic. On-premises, they must maintain 50× capacity year-round. In the cloud, they provision 50× capacity only during peak periods. Which cloud characteristic enables this cost optimization?
⚠ Common exam trap
The GCDL exam often tests the distinction between elasticity (dynamic scaling of resources for a single customer) and resource pooling (sharing of resources among multiple customers), leading candidates to confuse the multi-tenant efficiency of pooling with the on-demand scaling characteristic of elasticity.
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
✓
Elasticity — the ability to rapidly scale resources up during peak demand and release them when no longer needed.
Elasticity is the cloud characteristic that allows resources to be automatically provisioned to handle 50× peak traffic and then de-provisioned when demand subsides, eliminating the need to maintain idle capacity year-round. This contrasts with on-premises infrastructure, where capacity must be statically over-provisioned to handle peak loads, leading to significant cost inefficiency. The ability to scale out and scale in dynamically based on real-time demand is the core enabler of the described cost optimization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Measured service — metering and reporting resource consumption.
Why it's wrong here
Measured service is a cloud characteristic involving metering and reporting resource usage to provide transparent billing and pay-per-use pricing. It tracks how much CPU, storage, or bandwidth a customer consumed after the fact, but it does not describe any mechanism for scaling resources up or down on demand. For the Black Friday scenario, metering merely bills for the 50x capacity if it is provisioned; it does not make that provisioning possible, so it is not the characteristic driving the cost optimization.
- ✓
Elasticity — the ability to rapidly scale resources up during peak demand and release them when no longer needed.
Why this is correct
Elasticity is the ability to rapidly and automatically provision or release cloud resources in response to changing workload demand. In this case, the company scales to 50x capacity for the Black Friday peak, runs for that period, then scales back to the normal 1x baseline, so it only pays for the extra capacity when it is actually used. This avoids the cost of permanently over-provisioning a data center for a short-lived surge, which is exactly the cost optimization described.
- ✗
Broad network access — accessing resources from any internet-connected device.
Why it's wrong here
Broad network access means cloud services are available over the network through standard protocols and can be accessed from a wide range of client platforms, such as laptops, tablets, and smartphones. While this allows employees, partners, and customers to reach the application from anywhere with internet connectivity, it has nothing to do with automatically adjusting compute capacity to handle seasonal traffic spikes. The Black Friday need for 50x capacity is solved by elasticity, not by network accessibility, so this characteristic does not explain the described cost reduction.
- ✗
Resource pooling — the provider's resources are shared among many customers.
Why it's wrong here
Resource pooling refers to the provider's compute, storage, and network resources being aggregated and shared among many customers, often via virtualization, so that physical assets can be dynamically assigned to different tenants. This multi-tenancy creates economies of scale, but it does not inherently give a single customer the ability to rapidly grow its own allocation from 1x to 50x and then shrink it back. The dynamic scaling of capacity to meet variable workload demand is specifically elasticity, not the shared-resource model itself.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud 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 GCDL exam.