- A
Set min_replica_count to 1 to keep at least one instance always warm.
One warm instance avoids cold start for initial traffic.
- B
Use a larger machine type to reduce cold start time.
Why wrong: Cold start is mainly model loading, not fixed by machine size.
- C
Set min_replica_count to 0 and rely on autoscaling to handle bursts.
Why wrong: A setting of 0 can cause cold start on every new instance.
- D
Enable serving on Cloud Run for faster cold start.
Why wrong: Cold start is model-specific; moving to Cloud Run doesn't guarantee improvement.
PMLE Serving and scaling models Practice Question
This PMLE practice question tests your understanding of serving and scaling models. 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.
You need to serve a TensorFlow model that has a cold start latency of 20 seconds. The model is used for a real-time application with unpredictable traffic, but occasional bursts require immediate responses. What is the best deployment strategy to minimize both cold start impact and cost?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Set min_replica_count to 1 to keep at least one instance always warm.
Setting a minimum number of replicas (min_replica_count) ensures that some instances are always warm, avoiding cold start for the first requests. This balances cost and latency. Prewarming requests or increasing target utilization wouldn't help directly.
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.
- ✓
Set min_replica_count to 1 to keep at least one instance always warm.
Why this is correct
One warm instance avoids cold start for initial traffic.
Clue confirmation
The clue words "best", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a larger machine type to reduce cold start time.
Why it's wrong here
Cold start is mainly model loading, not fixed by machine size.
- ✗
Set min_replica_count to 0 and rely on autoscaling to handle bursts.
Why it's wrong here
A setting of 0 can cause cold start on every new instance.
- ✗
Enable serving on Cloud Run for faster cold start.
Why it's wrong here
Cold start is model-specific; moving to Cloud Run doesn't guarantee improvement.
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 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.
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.
- →
Serving and scaling models — study guide chapter
Learn the concepts, then practise the questions
- →
Serving and scaling models practice questions
Targeted practice on this topic area only
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Google Professional Machine Learning Engineer study guide
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PMLE practice test guide
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FAQ
Questions learners often ask
What does this PMLE question test?
Serving and scaling models — This question tests Serving and scaling models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set min_replica_count to 1 to keep at least one instance always warm. — Setting a minimum number of replicas (min_replica_count) ensures that some instances are always warm, avoiding cold start for the first requests. This balances cost and latency. Prewarming requests or increasing target utilization wouldn't help directly.
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: "best", "minimum / minimize". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 24, 2026
This PMLE 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 PMLE exam.
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