Question 50 of 499
Operationalizing machine learning modelsmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is to increase v2's traffic split by 10% each day while also adding replicas for v2 based on CPU utilization. This approach is correct because a gradual A/B testing traffic split on Vertex AI endpoint must be paired with autoscaling to maintain latency SLOs; simply shifting traffic without adding replicas would overwhelm the two existing v2 replicas, causing latency to spike above the 200 ms threshold. On the Google Professional Data Engineer exam, this scenario tests your understanding of balancing model rollout with infrastructure scaling—a common trap is to focus only on the traffic split percentage and forget that prediction latency is directly tied to replica count under load. The key insight is that Vertex AI Endpoint uses CPU utilization to trigger autoscaling, so adding replicas proactively as traffic increases ensures consistent performance. Memory tip: think "split and scale"—every time you adjust the traffic split, check the CPU utilization to decide if you need more replicas.

PDE Operationalizing machine learning models Practice Question

This PDE practice question tests your understanding of operationalizing machine learning 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.

Your organization deploys multiple versions of the same model to Vertex AI Endpoint for A/B testing. You have a production model (v1) serving 90% of traffic and a candidate model (v2) serving 10%. After one week, you observe that v2 has a slightly lower AUC but significantly higher business metrics like click-through rate. The product team wants to gradually increase v2's traffic. However, you need to ensure that the overall prediction latency remains under 200 ms. Currently, the endpoint has 10 replicas for v1 and 2 replicas for v2. What is the best approach to roll out v2 while maintaining latency SLO?

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.

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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

Increase v2's traffic split by 10% each day while also adding replicas for v2 based on CPU utilization.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Merge v2's model into v1 by retraining v1 with v2's architecture and deploy as a single model.

    Why it's wrong here

    This would lose the ability to A/B test and may introduce new issues.

  • Immediately set v2 to serve 100% traffic and monitor latency; if it exceeds 200 ms, roll back.

    Why it's wrong here

    Abrupt switch can cause latency spikes; gradual rollout is safer.

  • Increase v2's traffic split by 10% each day while also adding replicas for v2 based on CPU utilization.

    Why this is correct

    Gradual increase with autoscaling ensures latency remains within bounds.

    Clue confirmation

    The clue word "best" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use a separate endpoint for v2 and route traffic at the load balancer level.

    Why it's wrong here

    Adding another endpoint increases complexity and management overhead.

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 PDE 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 PDE question test?

Operationalizing machine learning models — This question tests Operationalizing machine learning models — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Increase v2's traffic split by 10% each day while also adding replicas for v2 based on CPU utilization.

What should I do if I get this PDE question wrong?

Identify which PDE 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". 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.

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Last reviewed: Jun 24, 2026

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