GCP专业级🤖 AI/ML
Google Cloud Certified - Machine Learning Engineer
验证您设计、构建和生产化机器学习模型的能力。GCP 机器学习工程师认证（旧版）。
$200
Exam Fee
60
Questions
120m
Exam Duration
70/100
Passing Score
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What this certification covers
This page is structured for quick scanning first: exam format, fit, prep time, and the actual study scope.
You will work with
Vertex AIBigQuery MLTensorFlowAutoMLAI PlatformDataflowCloud StoragePub/SubKubeflowMLOps
After preparation
- 获得 Google Cloud 官方机器学习工程师认证
- 掌握 GCP ML 解决方案的设计与实现
- 具备端到端 ML 流水线构建能力
- 能够优化和监控生产环境中的 ML 模型
Exam details
Exam Code
MLE
Provider
Google Cloud Platform
Duration
120 minutes
Question Count
60 questions
Passing Score
70/100
Validity
2 years
Who should take it
Good fit
- 机器学习工程师和数据科学家
- AI/ML 解决方案架构师
- 希望验证 GCP ML 能力的工程师
- 从事 MLOps 的 DevOps 工程师
- 希望转型 ML 方向的软件工程师
Before you start
- 3 年以上 ML 或相关行业经验（含 1 年以上 GCP 实践）
- 熟悉机器学习基础概念和常用算法
- 了解数据处理、特征工程和模型评估
- 具备 Python 编程能力
Study preparation
With hands-on AWS
8-10 weeks
From scratch
12-16 weeks
Daily pace
1-2 hours/day
Learning path preview
8 chapters1
MLE 考试概述与备考指南
45 min2
ML 问题定义与架构设计
120 min3
数据准备与处理
150 min4
ML 模型开发
150 min5
ML 流水线自动化与编排
140 min6
+ 2 more chapters inside the full pathML 解决方案监控与优化
120 minCertification comparison
| GCP Machine Learning Engineer | GCP Associate Cloud Engineer | GCP Associate Data Practitioner | |
|---|---|---|---|
| Provider | GCP | GCP | GCP |
| Level | 专业级 | 助理级 | 助理级 |
| Fee | $200 | $125 | $200 |
| Duration | 120 min | 120 min | 120 min |
| Question count | 60 | 50 | 55 |
| Validity | 2 yrs | 2 yrs | 2 yrs |
Study tips and common mistakes
💡
60 题 120 分钟，平均每题 2 分钟，合理分配时间
💡
及格分 70/100，不确定的题先标记跳过，回头再做
💡
排除法非常有用 — 先排掉明显错误的选项，剩下的再分析
💡
多选题会告诉你选几个，仔细看题目要求
⚠️
没有读完所有选项就选答案 — 题目经常有"最佳"答案和"正确但不最佳"的干扰项
⚠️
备考只刷题不理解原理 — 考试场景题需要理解底层概念
⚠️
忽略时间管理 — 在难题上卡太久，导致后面简单题没时间做
FAQ
Frequently Asked Questions
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