When comparing two model experiments, which of the following should be considered?

Both the metrics and the parameters used in each experiment

Only the training time of each experiment

Only the size of the training dataset

What is the primary role of an LLM-as-a-judge in evaluating model outputs?

To replace human evaluators entirely

To provide automated scoring or feedback on outputs using a large language model

To train the generative model using reinforcement learning

To generate new training data for the model

In Kubeflow Pipelines, what is the role of a component?

It is a monitoring dashboard for pipeline runs

It is a configuration file for the pipeline

It is a containerized step that performs a specific task in the pipeline

It is a storage location for pipeline artifacts

Which of the following is a key capability of Experiments on Gemini Enterprise Agent Platform?

Real-time model monitoring in production

Tracking and comparing experiment runs

Automated model deployment to edge devices

Google CloudProfessional Machine Learning Engineer

Domain 2Objective 3

Tracking and Running ML Experiments PROFESSIONAL-MACHINE-LEARNING-ENGINEER Practice Questions (Page 1)

Part of the Collaborating within and across teams to manage data and models domain, which accounts for ~16% of the PROFESSIONAL-MACHINE-LEARNING-ENGINEER exam.

29questions here

6free pages

10concepts

~16%of the exam

10 Concepts in This Objective

Choosing Google Cloud environments for ML development
Using Experiments on Gemini Enterprise Agent Platform
Using Gemini Enterprise Agent Platform Pipelines
Using Kubeflow Pipelines
Evaluating predictive ML models
Evaluating generative AI solutions
Using LLM-as-a-judge for evaluation
Tracking model artifacts and versions
Comparing model experiments
Managing model lineage

Questions 1–5

1foundation · easy
When comparing two model experiments, which of the following should be considered?
Select an answer first
2foundation · easy
What is the primary role of an LLM-as-a-judge in evaluating model outputs?
Select an answer first
3application · medium
A data scientist is evaluating a binary classification model that predicts whether a transaction is fraudulent. The dataset is highly imbalanced, with only 1% fraudulent transactions. The cost of missing a fraudulent transaction is very high, while false positives are relatively cheap to investigate. Which metric should the data scientist primarily optimize?
Select an answer first
4foundation · easy
In Kubeflow Pipelines, what is the role of a component?
Select an answer first
5foundation · easy
Which of the following is a key capability of Experiments on Gemini Enterprise Agent Platform?
Select an answer first

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