Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. 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 company runs a web application on Compute Engine. During seasonal sales, traffic spikes unpredictably. The operations team wants to ensure the application scales automatically without manual intervention while minimizing cost. Which solution should they implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a managed instance group with autoscaling based on CPU utilization.
A managed instance group (MIG) with autoscaling based on CPU utilization is the correct solution because it automatically adjusts the number of VM instances in response to real-time traffic spikes, ensuring the application scales out during high demand and scales in during low demand. This eliminates manual intervention and optimizes cost by only running the necessary number of instances based on a target CPU utilization threshold (e.g., 60-80%).
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.
✗
Create a managed instance group with a fixed number of instances.
Why it's wrong here
A fixed number of instances cannot handle unpredictable spikes; it may be under- or over-provisioned.
✗
Use an unmanaged instance group and manually add instances.
Why it's wrong here
Manual scaling requires human intervention, which is not automatic and can cause delays.
✓
Use a managed instance group with autoscaling based on CPU utilization.
Why this is correct
Autoscaling automatically adjusts instance count based on CPU utilization, providing elasticity and cost efficiency.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a single large VM with vertical scaling.
Why it's wrong here
Vertical scaling has limits and is not elastic; a single VM cannot scale beyond its machine type.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between horizontal and vertical scaling, where candidates mistakenly choose vertical scaling (Option D) because they think a larger VM is simpler, but they overlook the downtime, hard limits, and lack of elasticity required for unpredictable traffic spikes.
Detailed technical explanation
How to think about this question
Autoscaling in a MIG works by monitoring a Cloud Monitoring metric (e.g., CPU utilization) and applying a formula: target_instances = (current_load / target_utilization) * current_instances, with cooldown periods to avoid thrashing. Under the hood, the autoscaler uses a signal-based algorithm that can also incorporate HTTPload balancing utilization or Stackdriver custom metrics, and it respects a minimum and maximum instance count to prevent runaway scaling. In a real-world scenario, if the target CPU is set to 75%, the autoscaler will add instances when average CPU exceeds that threshold and remove them when it drops below, but it will not scale below the configured minimum to keep the application available.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this GCDL question in full detail.
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a managed instance group with autoscaling based on CPU utilization. — A managed instance group (MIG) with autoscaling based on CPU utilization is the correct solution because it automatically adjusts the number of VM instances in response to real-time traffic spikes, ensuring the application scales out during high demand and scales in during low demand. This eliminates manual intervention and optimizes cost by only running the necessary number of instances based on a target CPU utilization threshold (e.g., 60-80%).
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.
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Question Discussion
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