100+ Free GCP ML Engineer Practice Questions
Pass your Google Cloud Professional Machine Learning Engineer exam on the first try — instant access, no signup required.
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Key Facts: GCP ML Engineer Exam
50-60
Questions
Google Cloud certification page
2 hrs
Exam Time
Google Cloud certification page
$200
Exam Fee
Google Cloud certification page
6
Exam Domains
Professional ML Engineer exam guide
3+ yrs
Recommended Experience
Google Cloud certification page
14 days
Retake Wait Period
Google Cloud exam policies
Google's current PMLE exam covers 50-60 questions in 2 hours at $200. The 2026 version includes generative AI content covering Model Garden and Vertex AI Agent Builder. Six domains are tested: Architecting Low-Code AI Solutions (~12%), Collaborating to Manage Data and Models (~16%), Scaling Prototypes (~18%), Serving and Scaling Models (~19%), Automating and Orchestrating ML Pipelines (~22%), and Monitoring AI Solutions (~13%). Delivered via Pearson VUE online or at testing centers.
About the GCP ML Engineer Exam
The Google Cloud Professional Machine Learning Engineer certification validates your ability to design, build, deploy, and optimize ML and AI solutions on Google Cloud. The 2026 exam now covers generative AI including Vertex AI Agent Builder, Model Garden, and foundation model fine-tuning alongside conventional ML topics like MLOps pipelines, model serving, and monitoring.
Questions
60 scored questions
Time Limit
2 hours
Passing Score
Not published (~70% estimated)
Exam Fee
$200 (Google Cloud)
GCP ML Engineer Exam Content Outline
Architecting Low-Code AI Solutions
AutoML, BigQuery ML, pre-trained APIs, Model Garden, Vertex AI Agent Builder, and RAG
Collaborating to Manage Data and Models
Feature Store, ML Metadata, experiment tracking, model governance, data privacy, and team collaboration
Scaling Prototypes into ML Models
Model training, distributed training, hyperparameter tuning, feature engineering, and evaluation metrics
Serving and Scaling Models
Vertex AI Endpoints, batch prediction, autoscaling, traffic splitting, and model optimization
Automating and Orchestrating ML Pipelines
Vertex AI Pipelines, TFX, Cloud Composer, CI/CD for ML, and data validation
Monitoring AI Solutions
Model monitoring, drift detection, Explainable AI, responsible AI, and fairness evaluation
How to Pass the GCP ML Engineer Exam
What You Need to Know
- Passing score: Not published (~70% estimated)
- Exam length: 60 questions
- Time limit: 2 hours
- Exam fee: $200
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
GCP ML Engineer Study Tips from Top Performers
Frequently Asked Questions
How many questions are on the GCP ML Engineer exam?
The exam contains 50-60 multiple choice and multiple select questions, to be completed within 2 hours.
What is the GCP ML Engineer exam fee?
The registration fee is $200 USD plus applicable tax. This applies to both online-proctored and testing center sessions.
What score do I need to pass the GCP ML Engineer exam?
Google does not publish an exact passing score. Based on candidate reports, it is estimated to be around 70% correct answers.
Does the 2026 exam cover generative AI?
Yes. The current exam version includes generative AI tasks such as building solutions with Model Garden, Vertex AI Agent Builder, and evaluating generative AI solutions.
Can I take the GCP ML Engineer exam remotely?
Yes. Since February 2026, exams are delivered through Pearson VUE for both online-proctored and testing center options.
What experience does Google recommend for this exam?
Google recommends 3+ years of industry experience including 1+ year designing and managing ML solutions using Google Cloud. Proficiency in Python and SQL is expected.