Question 206 of 506
Serving and scaling modelshardMultiple SelectObjective-mapped

Quick Answer

The answer is to use preemptible VMs, tune the batch size to maximize throughput per worker, and select custom machine types to avoid overprovisioning. These three actions directly target batch prediction cost reduction by leveraging cheaper compute resources, optimizing data processing efficiency, and eliminating wasted capacity. Preemptible VMs offer substantial discounts for fault-tolerant workloads, while tuning the batch size balances memory usage and I/O to keep workers fully utilized without idle time. Custom machine types let you match CPU and memory precisely to your model’s needs, avoiding the expense of larger default machines. On the Google Professional Machine Learning Engineer exam, this question tests your ability to optimize cost-performance trade-offs in production pipelines—a common scenario where candidates mistakenly choose larger machines or TPUs, which increase cost without proportional throughput gains. Remember the mnemonic “P-T-C”: Preemptible, Tune batch, Custom type.

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.

A company runs batch predictions on a large dataset using Vertex AI Batch Prediction. They want to reduce costs without significantly increasing processing time. Which three actions should they take? (Choose three.)

Question 1hardmulti select
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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

Use preemptible VMs for the batch prediction job.

Options A, C, and E are correct. A uses preemptible VMs which are cheaper. C tunes batch size to maximize throughput per worker. E uses custom machine types to avoid overprovisioning. Option B increases machine size which may increase cost per worker. Option D uses TPUs which are more expensive and may not be beneficial for all model types.

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.

  • Use preemptible VMs for the batch prediction job.

    Why this is correct

    Preemptible VMs are significantly cheaper and suitable for batch jobs.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use a larger machine type to reduce the number of workers.

    Why it's wrong here

    Larger machines cost more per worker; may increase total cost.

  • Use custom machine types with only the necessary resources (vCPU and memory).

    Why this is correct

    Custom machines avoid overprovisioning and reduce cost.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use TPUs instead of GPUs to accelerate processing.

    Why it's wrong here

    TPUs are expensive and may not provide cost benefit for all models.

  • Tune the batch size to maximize throughput per worker.

    Why this is correct

    Optimal batch size improves resource utilization and reduces cost.

    Related concept

    Read the scenario before looking for a memorised answer.

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.

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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: Use preemptible VMs for the batch prediction job. — Options A, C, and E are correct. A uses preemptible VMs which are cheaper. C tunes batch size to maximize throughput per worker. E uses custom machine types to avoid overprovisioning. Option B increases machine size which may increase cost per worker. Option D uses TPUs which are more expensive and may not be beneficial for all model types.

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.

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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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.