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Google Cloud Professional Machine Learning Engineer (PMLE) ® 2026

Last verified: June 2026

Master ML model design, Vertex AI, BigQuery ML, and MLOps pipelines. Start with 3 free question sets and complete study guide. Unlock premium for 500+ questions.

✓ Free Download ✓ Vertex AI & BigQuery ML ✓ MLOps Pipelines
Google Cloud Certified: Professional Machine Learning Engineer (PMLE) exam prep app

⚡ Quick Facts
Quick Answer: The GCP PMLE (Professional Machine Learning Engineer) costs $200, has 50 questions, 120-minute duration, pass score ~70%. Covers designing, building, and productionizing ML models on Google Cloud. ExamCert has 500+ practice questions.

94%
Pass Rate
10,000+
GCP Certified
4.9/5
Average Rating

GCP Professional Machine Learning Engineer (PMLE) Study Materials

The Professional Machine Learning Engineer certification validates your ability to design, build, and productionize ML models using Google Cloud technologies including Vertex AI.

500+ ML Engineer Questions

Comprehensive questions covering Vertex AI, BigQuery ML, TensorFlow, feature engineering, and ML pipeline automation

Real-World ML Scenarios

Real-world machine learning scenarios with model training, deployment, monitoring, and optimization use cases

Weekly Updates

New questions added weekly based on latest GCP ML service updates and exam changes

How to Prepare for GCP PMLE

Follow our proven study strategy used by thousands of successful candidates

What's Included

  • 600+ exam-style practice questions
  • 10 complete practice sets
  • Free comprehensive study guide
  • Detailed explanations for every question
  • Weekly question updates
  • Progress tracking & weak area analysis

Study Tips from Top Scorers

  • 1.Score 85%+ consistently on practice tests before booking your exam
  • 2.Review explanations for BOTH correct and wrong answers
  • 3.Use the Study Guide for quick revision 2-3 days before exam day
  • 4.Focus extra time on domains where your scores are lowest
  • 5.Take timed practice sets to build exam-day stamina

GCP Professional Machine Learning Engineer (PMLE) Exam Domains

2 hours. 50-60 questions. Passing score: ~70%. Exam fee: $200 USD.

~18%

Architecting ML Solutions

Translating business requirements into ML solutions, selecting appropriate ML models, and designing ML architecture on GCP

~18%

Data Processing & Feature Engineering

Data ingestion, preprocessing, feature engineering with Dataflow, BigQuery, and Vertex AI Feature Store

~22%

Developing ML Models

Building models with TensorFlow, scikit-learn, BigQuery ML, and Vertex AI AutoML; hyperparameter tuning and evaluation

~22%

Automating ML Pipelines & MLOps

Vertex AI Pipelines, Kubeflow, CI/CD for ML, model versioning, experiment tracking, and orchestration

~12%

Deploying & Serving Models

Vertex AI endpoints, batch prediction, online prediction, model optimization, and serving infrastructure

~8%

Monitoring & Optimization

Model monitoring, data drift detection, performance optimization, retraining strategies, and cost management

Who Is the GCP PMLE Exam For?

Target Audience

The GCP PMLE validates expertise in designing, building, and productionizing ML models using Google Cloud. For ML engineers who architect solutions, build models, and deploy them to production at scale.

Recommended Prerequisites

  • 3+ years of industry experience including 1+ year designing ML solutions on GCP
  • Proficiency with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with Vertex AI, BigQuery ML, and data processing pipelines
  • Understanding of MLOps practices, model monitoring, and feature engineering

Official Exam Details

Exam Code
PMLE
Level
Professional
Duration
120 minutes
Questions
50-60 questions
Passing Score
~70%
Exam Fee
$200 USD

Format: Multiple choice & multi-select

People Also Ask About GCP PMLE

Quick answers to the most common questions

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What Our Users Say About GCP PMLE

★★★★★4.9/5 from 10,000+ users

"Vertex AI and BigQuery ML questions were perfectly aligned with the exam. Passed PMLE on first attempt!"

RK
Raj Kumar
ML Engineer · Verified User

"The feature engineering and data pipeline questions were very relevant. Explanations include practical ML examples."

SL
Sophia Lee
Data Scientist · Verified User

"MLOps and pipeline automation questions helped me understand GCP ML patterns deeply. Scored above 80%!"

CM
Chris Martin
MLOps Engineer · Verified User

"TensorFlow and model deployment questions were spot-on. The study guide covers Vertex AI thoroughly."

AH
Amira Hassan
AI Engineer · Verified User

"Model monitoring and drift detection questions covered real-world scenarios. Weekly updates keep the content current."

DW
Danny Wu
ML Platform Engineer · Verified User

"Best GCP PMLE prep available. The practice sets match the real exam difficulty and format perfectly."

KM
Kate Miller
Senior Data Scientist · Verified User

Download GCP PMLE Machine Learning Engineer Practice App

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GCP PMLE Exam Prep 2026

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  • 3 Free Question Sets
  • Free Study Guide
  • All Domains Covered
  • Progress Tracking

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GCP Professional Machine Learning Engineer FAQ

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