Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
You are monitoring Compute Engine instances with Cloud Monitoring. You notice that autoscaling is not triggering even though CPU utilization is above 80% for several minutes. The managed instance group has autoscaling based on CPU utilization with a target of 0.8. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The maximum number of instances is already reached.
The most likely cause is that the managed instance group has already reached its configured maximum number of instances. When the maximum instance count is hit, the autoscaler cannot add more instances even if CPU utilization exceeds the target of 0.8 (80%). This is a common boundary condition in autoscaling logic where the scaling policy is overridden by the hard limit.
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.
✓
The maximum number of instances is already reached.
Why this is correct
If the instance group has reached its max size, the autoscaler cannot add more instances, so it will not trigger.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The autoscaler is disabled.
Why it's wrong here
If disabled, no scaling occurs at all; but the situation describes an autoscaler that is configured and active.
✗
The minimum number of instances is set too high.
Why it's wrong here
A high minimum does not limit scaling up; it only ensures a baseline.
✗
The cool-down period is too long.
Why it's wrong here
A long cooldown may delay scaling, but autoscaling should still eventually trigger if CPU remains high.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often focus on the CPU target and cool-down settings, overlooking the hard boundary of the maximum instance count, which is a fundamental constraint in autoscaling logic.
Trap categories for this question
Scenario analysis trap
If disabled, no scaling occurs at all; but the situation describes an autoscaler that is configured and active.
Detailed technical explanation
How to think about this question
Under the hood, the autoscaler uses a target utilization metric (e.g., CPU utilization target of 0.8) and compares the current average utilization across the group. It calculates the desired number of instances as ceil(current_load / target_utilization). If the desired number exceeds the configured max instances, the autoscaler caps the scale-up at the max limit. In real-world scenarios, this often occurs when traffic spikes exceed the capacity of the maximum instance count, leading to sustained high CPU without new instances being added.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: The maximum number of instances is already reached. — The most likely cause is that the managed instance group has already reached its configured maximum number of instances. When the maximum instance count is hit, the autoscaler cannot add more instances even if CPU utilization exceeds the target of 0.8 (80%). This is a common boundary condition in autoscaling logic where the scaling policy is overridden by the hard limit.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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