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Google CloudGCP-PMLE

Google Professional Machine Learning Engineer

Validate your ability to build, evaluate, productionize, and optimize ML and AI solutions on Google Cloud. Covers architecting low-code AI solutions with BigQuery ML and AutoML, managing data and models across teams, scaling prototypes into production ML models, serving and scaling models for real-time and batch inference, automating and orchestrating ML pipelines with Vertex AI, and monitoring AI solutions for drift, fairness, and performance. The 2026 exam reflects the transition to Gemini Enterprise Agent Platform and emphasizes generative AI, Model Garden, Vertex AI Agent Builder, and responsible AI practices. Recommended experience is 3+ years in industry including 1+ year designing and managing solutions on Google Cloud. The exam uses pass/fail scoring (no numeric score disclosed); the 70/100 threshold shown is a widely cited community estimate.

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    Study Guide

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60 questions · 120 min · Real format

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Exam Domain Breakdown

Architecting Low-Code AI Solutions13%
Collaborating Within and Across Teams to Manage Data and Models14%
Scaling Prototypes into ML Models18%
Serving and Scaling Models20%
Automating and Orchestrating ML Pipelines22%
Monitoring AI Solutions13%

Frequently Asked Questions

What is the passing score for the Google Professional Machine Learning Engineer (GCP-PMLE) exam?+
The passing score for the GCP-PMLE exam is 70%. The exam consists of 60 questions and you have 120 minutes to complete it.
How many questions are on the GCP-PMLE exam?+
The GCP-PMLE exam has 60 questions. The exam duration is 120 minutes, giving you roughly 120 seconds per question on average.
How much does the GCP-PMLE exam cost?+
The GCP-PMLE exam costs $200 USD. Check with Google Cloud for the latest pricing, regional variations, and any available vouchers or discounts.
What domains are covered on the GCP-PMLE exam?+
The GCP-PMLE exam covers 6 domains: Architecting Low-Code AI Solutions (13%), Collaborating Within and Across Teams to Manage Data and Models (14%), Scaling Prototypes into ML Models (18%), Serving and Scaling Models (20%), Automating and Orchestrating ML Pipelines (22%), Monitoring AI Solutions (13%). Focus your study time proportionally to these weights.
What free study resources are available for the GCP-PMLE exam?+
CertPrepNow offers free study guide for the GCP-PMLE exam. All resources are available without registration or payment.
How long should I study for the GCP-PMLE exam?+
Study time varies by experience level. For someone with relevant work experience, 2-4 weeks of focused study (1-2 hours per day) is typical. Beginners may need 4-8 weeks. Start with the study guide to identify knowledge gaps, then use practice questions to test readiness.
Is the Google Professional Machine Learning Engineer certification worth it?+
The Google Professional Machine Learning Engineer certification from Google Cloud validates skills that are in demand. It demonstrates proficiency in architecting low-code ai solutions and collaborating within and across teams to manage data and models. Whether it is worth pursuing depends on your career goals and current role.