Understand the certification
认证概述
Google Cloud Certified - Associate Data Practitioner 是 Google Cloud 面向数据从业者的 Associate 级别认证，验证在 Google Cloud 平台上处理数据的核心能力。
考试领域
- Explore and Prepare Data（探索与准备数据）— 30%
- Build and Train Models（构建与训练模型）— 25%
- Create Data Pipelines（创建数据管道）— 25%
- Govern and Secure Data（治理与保护数据）— 20%
适合人群
- 数据分析师和数据工程师
- 使用 BigQuery 和 Google Cloud 数据产品的从业者
- 希望获得数据领域云认证的 IT 专业人员
- 数据科学初学者
Exam at a glance
- Exam code
- Associate Data Practitioner
- Provider
- GCP
- Format
- Single choice / Multiple select
- Language
- English / 日本語
- Validity
- 2 years
- Exam fee
- $200
Skills in focus
Learning outcomes
- 获得 Google Cloud 官方 Associate Data Practitioner 认证
- 掌握 BigQuery 数据分析与 ML 建模能力
- 具备构建端到端数据管道的能力
- 理解数据治理与安全最佳实践
- 为 Professional Data Engineer 认证打下基础
Who this is for
- 数据分析师和数据工程师
- 使用 BigQuery 的数据从业者
- 希望获得 Google Cloud 数据认证的 IT 专业人员
- 数据科学和大数据方向学生
- 希望转型数据领域的云计算从业者
Before you start
- 了解基本的 SQL 查询语法
- 对数据分析和数据管理有基本理解
- 建议有 Google Cloud 基础使用经验
- 建议有 6 个月以上数据相关工作经验
What the exam tests
30%Explore and Prepare Data
Explore and Prepare Data
25%Build and Train Models
Build and Train Models
25%Create Data Pipelines
Create Data Pipelines
20%Govern and Secure Data
Govern and Secure Data
Your learning path
6 chapters
Plan your preparation
- Learning hours
- 35h
- With relevant experience
- 4-6 weeks
- Starting from scratch
- 8-10 weeks
- Daily study
- 1-2h
Included in your preparation
- 6 个系统化学习章节，覆盖考试 4 大领域
- 103 精选练习题，每题附详细解析
- 仿真模拟考试（55 题/120 分钟）
- 错题本 + 智能复习，薄弱环节针对性突破
- 学习进度可视化追踪
- 同步 Google Cloud 官方最新考纲
Preparation tips
- 55 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
Common mistakes
- 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
Before you register
How difficult is the Associate Data Practitioner exam?
This is an Associate-level certification with moderate difficulty. The exam focuses on practical ability to use Google Cloud data products, requiring familiarity with core services like BigQuery and Dataflow. A preparation period of 4-6 weeks is recommended.
What is the difference between this certification and Professional Data Engineer?
Associate Data Practitioner emphasizes foundational data operations and analysis skills; Professional Data Engineer requires deeper architecture design and complex pipeline building experience. It is recommended to take the Associate first and then advance to Professional.
Which Google Cloud products does the exam cover?
Key products include BigQuery (data warehouse), BigQuery ML (model training), Dataflow (data pipelines), Cloud Storage (storage), Data Catalog (data governance), and IAM (access control).
How long is the Associate Data Practitioner certification valid?
The certification is valid for 2 years. You need to retake the exam after expiration. The exam costs $200 USD, is 120 minutes long, and requires approximately 70% to pass.
Learner experiences
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