- A
Auto-scaling based on CPU utilization
Auto-scaling automatically adjusts compute resources to match demand, reducing waste.
- B
Purchasing committed use discounts
Why wrong: Committed use discounts are cost-saving but require a fixed capacity commitment, not suitable for variable demand.
- C
Load balancing across regions
Why wrong: Load balancing distributes traffic but does not automatically adjust the number of servers.
- D
Manual scaling with reserve instances
Why wrong: Manual scaling still requires human intervention and reserve instances lock in capacity, not addressing variable demand efficiently.
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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 retail company experiences huge traffic spikes during Black Friday and slow periods otherwise. They want to avoid over-provisioning servers and reduce costs. Which cloud feature directly addresses this need?
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
Auto-scaling based on CPU utilization
Auto-scaling based on CPU utilization dynamically adjusts the number of server instances in response to real-time demand. During Black Friday traffic spikes, it automatically adds capacity, and during slow periods, it scales down to reduce costs. This directly addresses the need to avoid over-provisioning while maintaining performance.
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.
- ✓
Auto-scaling based on CPU utilization
Why this is correct
Auto-scaling automatically adjusts compute resources to match demand, reducing waste.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Purchasing committed use discounts
Why it's wrong here
Committed use discounts are cost-saving but require a fixed capacity commitment, not suitable for variable demand.
- ✗
Load balancing across regions
Why it's wrong here
Load balancing distributes traffic but does not automatically adjust the number of servers.
- ✗
Manual scaling with reserve instances
Why it's wrong here
Manual scaling still requires human intervention and reserve instances lock in capacity, not addressing variable demand efficiently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that load balancing alone solves capacity issues, but candidates must recognize that load balancing distributes existing traffic and does not add or remove servers—only auto-scaling handles dynamic provisioning.
Detailed technical explanation
How to think about this question
Auto-scaling policies can be based on metrics like CPU utilization (e.g., scale out when average CPU > 70% for 5 minutes) or custom metrics like request count per instance. Under the hood, the cloud orchestrator uses a target tracking or step scaling policy to adjust the desired capacity in the auto-scaling group, often with a cooldown period to prevent thrashing. In a real-world scenario, a retailer might combine auto-scaling with a predictive scaling model that analyzes historical Black Friday traffic patterns to pre-warm instances, reducing latency during the initial spike.
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.
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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: Auto-scaling based on CPU utilization — Auto-scaling based on CPU utilization dynamically adjusts the number of server instances in response to real-time demand. During Black Friday traffic spikes, it automatically adds capacity, and during slow periods, it scales down to reduce costs. This directly addresses the need to avoid over-provisioning while maintaining performance.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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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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