这张认证到底考什么
先把考试形式、适合人群、备考时长和学习范围讲清楚，再决定要不要投入时间。
Certification Overview
The Databricks Certified Data Engineer Professional (DEP) certification validates your ability to design, build, and optimize production-grade data engineering solutions on the Databricks Data Intelligence Platform. This practice exam covers all official exam domains with scenario-based questions testing advanced architectural decisions.
Exam Domains
- Data Processing (Python & SQL): 22%
- Data Ingestion & Acquisition: 7%
- Data Transformation, Cleansing & Quality: 10%
- Data Modeling: 6%
- Cost & Performance Optimization: 13%
- Monitoring & Alerting: 10%
- Data Security & Compliance: 10%
- Data Governance: 7%
- Debugging & Deploying: 10%
- Data Sharing & Federation: 5%
Who Should Take This
- Senior data engineers designing enterprise-scale Lakehouse architectures
- Data platform engineers optimizing production Databricks workloads
- Data architects implementing Medallion Architecture and advanced Delta Lake patterns
你会反复碰到的核心服务
Advanced Delta Lake OperationsMedallion Architecture DesignStructured Streaming PatternsAuto Loader ConfigurationChange Data Capture (CDC)Unity Catalog GovernancePerformance Tuning & OptimizationCI/CD Pipeline DeploymentData Quality MonitoringCost Optimization Strategies
学完以后你能带走什么
- Pass the Databricks DEP certification exam with confidence
- Master key concepts across all exam domains
- Identify and strengthen weak areas before the exam
考试详情
考试代码
DEP
发证机构
其他认证机构
时长
90 分钟
题目数
65 题
及格分
70/100
有效期
3 年
适合谁考
适合人群
- Senior data engineers designing production-grade Lakehouse solutions
- Data platform engineers managing enterprise Databricks deployments
- Data architects implementing Medallion Architecture patterns
- Databricks DEA holders advancing to Professional certification
开始前最好先有
- 1+ years of production experience with the Databricks Lakehouse Platform
- Proficiency in Python/PySpark and SQL for data pipeline development
- Databricks Data Engineer Associate (DEA) certification recommended
- Deep understanding of Delta Lake, Structured Streaming, and pipeline architecture
备考节奏
有 AWS 实操经验
8-10 周
零基础切入
12-16 周
建议日投入
1-2 小时/天
学习路径预览
3 章1
Databricks DEP Exam Overview
40 min2
Databricks
120 min3
Exam Preparation & Practice
100 min同赛道认证对比
| Databricks DEP | CCDAK | CCFA | |
|---|---|---|---|
| 机构 | 其他 | 其他 | 其他 |
| 级别 | 专业级 | 助理级 | 专业级 |
| 考试费 | $0 | $150 | $300 |
| 时长 | 90 min | 90 min | 90 min |
| 题量 | 65 | 60 | 60 |
| 有效期 | 3 年 | 2 年 | 3 年 |
备考技巧与常见失误
💡
65 题 90 分钟，平均每题 1 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
⚠️
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