Cloud Digital Leader Why cloud technology is transforming business Practice Question
A global e-commerce company serves customers from multiple continents. They want to guarantee fast page load times and minimize latency. Which Google Cloud service is most suitable for this transformation?
⚠ Common exam trap
Google Cloud often tests the misconception that multi-regional storage alone (Option B) provides low latency, but candidates must understand that storage redundancy does not equal edge caching or request routing, which are essential for minimizing page load times across continents.
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
✓
Cloud CDN with global external HTTP(S) load balancing
Cloud CDN with global external HTTP(S) load balancing is the most suitable solution because it caches static and dynamic content at edge locations worldwide, reducing latency for users across multiple continents. The global load balancer provides anycast IP addresses that route traffic to the nearest healthy backend, while Cloud CDN serves cached content directly from the edge, minimizing round-trip time and improving page load times.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud SQL for data caching
Why it's wrong here
Cloud SQL is a fully managed relational database service, not a content delivery or caching system. It stores transactional data in a single region and does not provide any edge caching or global points of presence. Using it for data caching would increase database load without reducing latency for geographically distributed users.
- ✗
Cloud Storage multi-regional buckets
Why it's wrong here
Multi-regional Cloud Storage buckets replicate objects across several Google Cloud regions, but they do not cache content at the network edge or provide user-aware routing. Serving content directly from a bucket lacks the HTTP(S) load balancing and cache layer that Cloud CDN offers. As a result, requests still traverse the public internet to a regional endpoint, so latency improvements are limited compared to a CDN.
- ✓
Cloud CDN with global external HTTP(S) load balancing
Why this is correct
Cloud CDN combined with a global external HTTP(S) load balancer uses Google's worldwide edge points of presence to cache static and dynamic content close to users. The load balancer intelligently routes each request to the nearest edge location, minimizing round-trip time and offloading requests from the backend. This architecture is specifically designed to deliver low-latency experiences to a global customer base.
- ✗
Compute Engine with large VMs
Why it's wrong here
Large Compute Engine VMs increase CPU, memory, and throughput capacity but are constrained to a single zone or region. Users far from that region will still experience high network latency, as traffic must travel long distances across the internet. This option does not introduce caching, edge nodes, or global load balancing, so it fails to address the root cause of slow content delivery.
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
Google Cloud
Google Cloud is a suite of cloud computing services offered by Google that provides infrastructure, platform, and software solutions over the internet.
Key term
Cloud CDN
A Cloud CDN is a network of servers spread around the world that stores copies of your website or app content so it loads faster for users no matter where they are.
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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.