- A
Global infrastructure for low latency
Why wrong: Global infrastructure benefits performance but does not eliminate upfront costs.
- B
High reliability and uptime SLAs
Why wrong: Reliability ensures availability but does not address financial flexibility.
- C
Pay-as-you-go pricing model
Pay-as-you-go allows startups to avoid large upfront investments and scale costs with usage.
- D
Built-in security and compliance
Why wrong: Security is necessary but not the primary driver for reducing initial investment.
Cloud Digital Leader Why cloud technology is transforming business Practice Question
This GCDL practice question tests your understanding of why cloud technology is transforming business. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A startup wants to launch a new mobile app without investing heavily in physical servers. They need to pay only for what they use and scale quickly as user base grows. What cloud characteristic best supports this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Pay-as-you-go pricing model
Option C is correct because the pay-as-you-go pricing model, also known as operational expenditure (OpEx) pricing, directly addresses the startup's need to avoid heavy upfront investment in physical servers and only pay for consumed resources. This model enables elastic scaling, allowing the app to automatically provision and de-provision compute resources (e.g., via AWS Auto Scaling or Azure Scale Sets) as the user base grows, aligning cost with actual usage.
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.
- ✗
Global infrastructure for low latency
Why it's wrong here
Global infrastructure benefits performance but does not eliminate upfront costs.
- ✗
High reliability and uptime SLAs
Why it's wrong here
Reliability ensures availability but does not address financial flexibility.
- ✓
Pay-as-you-go pricing model
Why this is correct
Pay-as-you-go allows startups to avoid large upfront investments and scale costs with usage.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Built-in security and compliance
Why it's wrong here
Security is necessary but not the primary driver for reducing initial investment.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between 'scalability' (ability to grow) and 'elasticity' (ability to grow and shrink automatically based on demand), and the trap here is that candidates may confuse the need for rapid scaling with the need for a specific pricing model, incorrectly selecting global infrastructure (Option A) because they associate 'scale quickly' with geographic distribution rather than cost-efficient resource provisioning.
Detailed technical explanation
How to think about this question
Under the hood, pay-as-you-go is enabled by metering and billing APIs that track resource consumption at granular intervals (e.g., per-second billing for AWS Lambda or per-hour for EC2 instances). This model relies on virtualization and hypervisor-level isolation to dynamically allocate physical server resources across multiple tenants, allowing the cloud provider to offer near-infinite elasticity while the startup only pays for the actual CPU cycles, memory, and storage consumed. In a real-world scenario, a startup using Google Cloud's Compute Engine can set up a managed instance group with autoscaling based on CPU utilization, and the billing dashboard will reflect charges only for the hours the instances were active, avoiding costs during idle periods.
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
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this GCDL question test?
Why cloud technology is transforming business — This question tests Why cloud technology is transforming business — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Pay-as-you-go pricing model — Option C is correct because the pay-as-you-go pricing model, also known as operational expenditure (OpEx) pricing, directly addresses the startup's need to avoid heavy upfront investment in physical servers and only pay for consumed resources. This model enables elastic scaling, allowing the app to automatically provision and de-provision compute resources (e.g., via AWS Auto Scaling or Azure Scale Sets) as the user base grows, aligning cost with actual usage.
What should I do if I get this GCDL question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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