- A
Standardize the instance machine type and ensure all have the same number of CPUs.
Why wrong: Machine type affects performance but not package versions.
- B
Use Cloud Functions to run the training code instead.
Why wrong: Cloud Functions are not designed for training jobs.
- C
Use Vertex AI Experiments with a fixed environment by specifying a prebuilt container.
Experiments track parameters and metrics while ensuring a consistent environment.
- D
Create a custom Docker image with all dependencies and use it in Vertex AI Training jobs.
Why wrong: This is a good approach, but Vertex AI Experiments with a prebuilt container is more integrated for tracking.
- E
Ask all team members to use the same Python virtual environment and install packages from a requirements.txt file.
Why wrong: Manual environment setup can still lead to subtle differences.
PMLE Practice Question: Collaborating within and across teams to manage data and models
This PMLE practice question tests your understanding of collaborating within and across teams to manage data and models. 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.
A data science team is collaborating on a project to build a churn prediction model. They use Vertex AI Workbench instances for development. Each data scientist has their own instance with a persistent disk. They share code via a GitHub repository. They want to ensure that the model training is reproducible across different team members' environments. Currently, they manually install Python packages in their instances, and they have noticed that the model metrics differ slightly between runs on different instances. Which of the following is the best action to ensure reproducibility?
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.
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 Vertex AI Experiments with a fixed environment by specifying a prebuilt container.
Option C is correct because Vertex AI Experiments with a prebuilt container ensures a fixed, reproducible environment by pinning the exact OS, Python version, and all dependencies. This eliminates the variability introduced by manual package installations and differing instance configurations, directly addressing the team's issue of inconsistent model metrics across runs.
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.
- ✗
Standardize the instance machine type and ensure all have the same number of CPUs.
Why it's wrong here
Machine type affects performance but not package versions.
- ✗
Use Cloud Functions to run the training code instead.
Why it's wrong here
Cloud Functions are not designed for training jobs.
- ✓
Use Vertex AI Experiments with a fixed environment by specifying a prebuilt container.
Why this is correct
Experiments track parameters and metrics while ensuring a consistent environment.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create a custom Docker image with all dependencies and use it in Vertex AI Training jobs.
Why it's wrong here
This is a good approach, but Vertex AI Experiments with a prebuilt container is more integrated for tracking.
- ✗
Ask all team members to use the same Python virtual environment and install packages from a requirements.txt file.
Why it's wrong here
Manual environment setup can still lead to subtle differences.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between environment reproducibility (which requires fixed software stacks) and hardware consistency (which is less critical for deterministic training), leading candidates to mistakenly choose hardware standardization (Option A) or manual dependency management (Option E).
Detailed technical explanation
How to think about this question
Vertex AI Experiments leverages prebuilt containers that are versioned and include specific CUDA, cuDNN, and Python library combinations, ensuring bit-exact reproducibility. Under the hood, the experiment run captures the container image URI, hyperparameters, and metrics, allowing any team member to replay the exact same environment. In practice, even minor differences in package versions (e.g., scikit-learn 0.24 vs 0.25) can alter model coefficients due to changes in default solver parameters or random seed handling.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Collaborating within and across teams to manage data and models — study guide chapter
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FAQ
Questions learners often ask
What does this PMLE question test?
Collaborating within and across teams to manage data and models — This question tests Collaborating within and across teams to manage data and models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Vertex AI Experiments with a fixed environment by specifying a prebuilt container. — Option C is correct because Vertex AI Experiments with a prebuilt container ensures a fixed, reproducible environment by pinning the exact OS, Python version, and all dependencies. This eliminates the variability introduced by manual package installations and differing instance configurations, directly addressing the team's issue of inconsistent model metrics across runs.
What should I do if I get this PMLE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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.
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 30, 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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