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 Associate Developer for Apache Spark certification validates your understanding of Apache Spark architecture and your ability to apply the Spark DataFrame API for data manipulation tasks. This practice exam covers all official exam domains with questions in Python (PySpark).
Exam Domains
- Spark Architecture & Concepts: Understanding execution modes, fault tolerance, lazy evaluation, shuffling, and Spark Connect
- DataFrame API Operations: Selecting, filtering, joining, aggregating, reading/writing DataFrames with schemas and UDFs
- Spark SQL Functions: Window functions, built-in functions, and SQL query optimization
- Performance Tuning & Optimization: Partitioning strategies, caching, broadcast joins, and shuffle optimization
- Structured Streaming: Basic streaming concepts, triggers, and output modes
Who Should Take This
- Python/PySpark developers building data processing applications with Apache Spark
- Data engineers seeking to validate their Spark DataFrame API proficiency
- Big data developers transitioning from RDD-based to DataFrame-based Spark workloads
你会反复碰到的核心服务
Spark Architecture & Cluster ManagementDataFrame API OperationsSpark SQL & Window FunctionsPySpark Data TransformationsJoin Optimization & Broadcast JoinsPartitioning & Shuffle ManagementStructured Streaming BasicsData Source Reading & Writing
学完以后你能带走什么
- Pass the Databricks Spark 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
Databricks Spark
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
- Python/PySpark developers working with Apache Spark DataFrames
- Data engineers building Spark-based data processing pipelines
- Big data developers seeking Spark API proficiency certification
- Analytics professionals using Spark SQL for data analysis
开始前最好先有
- 6+ months of hands-on experience with Apache Spark
- Proficiency in Python programming and PySpark basics
- Understanding of Spark architecture (Driver, Executor, Cluster Manager)
- Familiarity with DataFrame API and Spark SQL fundamentals
备考节奏
有 AWS 实操经验
4-6 周
零基础切入
8-10 周
建议日投入
1-2 小时/天
学习路径预览
4 章1
Databricks Spark Exam Overview
40 min2
Databricks
120 min3
Apache Spark
30 min4
Exam Preparation & Practice
100 min同赛道认证对比
| Databricks Spark | CCDAK | CCFA | |
|---|---|---|---|
| 机构 | 其他 | 其他 | 其他 |
| 级别 | 助理级 | 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
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65 题 90 分钟，平均每题 1 分钟，合理分配时间
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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
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备考只刷题不理解原理 — 考试场景题需要理解底层概念
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忽略时间管理 — 在难题上卡太久，导致后面简单题没时间做