The answer is to increase MIN_REPLICA_COUNT to 5. This action directly resolves 429 errors on a Vertex AI deployed model endpoint by ensuring a baseline of replicas are always warm and ready to handle traffic bursts, preventing the endpoint from being overwhelmed during peak demand. On the Google Cloud Generative AI Leader exam, this scenario tests your understanding of Vertex AI endpoint autoscaling behavior, specifically how min replica count differs from max replica count—a common trap is confusing the two or thinking that increasing max replicas alone solves the problem, when in fact it only allows scaling up but doesn’t guarantee availability during sudden spikes. A useful memory tip is “Min for the Max load”: set your minimum replicas high enough to absorb the initial surge, because autoscaling takes time to spin up new instances.
Generative AI Leader Fundamentals of Generative AI Practice Question
This Generative AI Leader practice question tests your understanding of fundamentals of generative ai. 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.
Exhibit
Refer to the exhibit.
```
$ gcloud ai endpoints list --region=us-central1
ENDPOINT_ID: 123456789
DISPLAY_NAME: my-endpoint
MODEL: projects/my-project/locations/us-central1/models/987654321
DEPLOYED_MODELS: projects/my-project/locations/us-central1/models/987654321@1
MACHINE_TYPE: n1-standard-2
MIN_REPLICA_COUNT: 1
MAX_REPLICA_COUNT: 5
```
Refer to the exhibit. A team has deployed a model to an endpoint with the configuration shown. They notice that during peak traffic, the endpoint frequently returns 429 (Too Many Requests) errors. Which action should they take to resolve this issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase MIN_REPLICA_COUNT to 5
Increasing MIN_REPLICA_COUNT ensures a minimum number of replicas are always available to handle traffic bursts, reducing 429 errors. Other options would not help or would worsen the problem.
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.
✗
Change MACHINE_TYPE to n1-highmem-4
Why it's wrong here
Changing machine type may improve per-instance performance but doesn't address insufficient replicas.
✓
Increase MIN_REPLICA_COUNT to 5
Why this is correct
More minimum replicas provide capacity for sudden traffic spikes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Decrease MAX_REPLICA_COUNT to 1
Why it's wrong here
Reducing max replicas limits capacity, making errors worse.
✗
Disable autoscaling by setting MIN_REPLICA_COUNT equals MAX_REPLICA_COUNT
Why it's wrong here
Disabling autoscaling prevents scaling out during peaks, likely increasing errors.
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.
What to study next
Got this wrong? Here's your next step.
Identify which Generative AI Leader 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.
What does this Generative AI Leader question test?
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase MIN_REPLICA_COUNT to 5 — Increasing MIN_REPLICA_COUNT ensures a minimum number of replicas are always available to handle traffic bursts, reducing 429 errors. Other options would not help or would worsen the problem.
What should I do if I get this Generative AI Leader question wrong?
Identify which Generative AI Leader 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.
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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