- A
Increase the target CPU utilization to 90% to allow more requests per instance.
Why wrong: Higher utilization may cause overload, worsening errors.
- B
Switch to a machine type with more memory, e.g., n1-highmem-8, and increase min_replica_count.
High memory instances reduce memory contention, and more replicas absorb traffic spikes.
- C
Enable canary traffic splitting to reduce load on the main endpoint.
Why wrong: Canary deployment doesn't directly handle spikes; it's for rollout.
- D
Reduce the model batch size from 32 to 1 to lower memory per request.
Why wrong: Smaller batch size increases CPU overhead per request and may not resolve 502s if memory is insufficient.
Question 695 of 1,000
hardMultiple ChoiceObjective-mapped
502 Errors on Vertex AI from Memory Scaling
This PMLE practice question tests your understanding of pmle exam topics. 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.
Your team is serving a large language model on Vertex AI using a custom container. The endpoint experiences intermittent 502 errors during traffic spikes. The autoscaling configuration uses a CPU utilization target of 60% and the model is deployed on n1-standard-4 instances. The model requires significant memory. Which combination of changes is most likely to resolve the issue?
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.
Quick Answer
The answer is to switch to a machine type with more memory, like n1-highmem-8, and increase min_replica_count. This resolves the intermittent 502 errors because Vertex AI endpoints return 502s when instances are overwhelmed or timing out, often due to memory pressure during traffic spikes—the CPU utilization target of 60% doesn’t prevent memory exhaustion on standard instances. On the Google Professional Machine Learning Engineer exam, this tests your understanding of autoscaling and resource allocation for large language models; a common trap is focusing on CPU or GPU when the bottleneck is memory, not compute. Remember the mnemonic “High Mem, More Replicas” to avoid chasing the wrong metric.
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
✓
Switch to a machine type with more memory, e.g., n1-highmem-8, and increase min_replica_count.
The 502 errors likely indicate the instances are overwhelmed or timing out. Increasing the machine type to a high-memory instance reduces memory pressure, and adding more replicas through a lower target scaling metric or higher min replicas provides capacity. Tuning batch size helps but is secondary. GPU may not help if the issue is memory.
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.
- ✗
Increase the target CPU utilization to 90% to allow more requests per instance.
Why it's wrong here
Higher utilization may cause overload, worsening errors.
- ✓
Switch to a machine type with more memory, e.g., n1-highmem-8, and increase min_replica_count.
Why this is correct
High memory instances reduce memory contention, and more replicas absorb traffic spikes.
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.
- ✗
Enable canary traffic splitting to reduce load on the main endpoint.
Why it's wrong here
Canary deployment doesn't directly handle spikes; it's for rollout.
- ✗
Reduce the model batch size from 32 to 1 to lower memory per request.
Why it's wrong here
Smaller batch size increases CPU overhead per request and may not resolve 502s if memory is insufficient.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Visual reference
What to study next
Got this wrong? Here's your next step.
Identify which PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this PMLE question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Switch to a machine type with more memory, e.g., n1-highmem-8, and increase min_replica_count. — The 502 errors likely indicate the instances are overwhelmed or timing out. Increasing the machine type to a high-memory instance reduces memory pressure, and adding more replicas through a lower target scaling metric or higher min replicas provides capacity. Tuning batch size helps but is secondary. GPU may not help if the issue is memory.
What should I do if I get this PMLE question wrong?
Identify which PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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Last reviewed: Jun 24, 2026
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