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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-engineer-associate-preparation/
课程评论：没有评论
课程名称：Databricks认证数据工程师助理准备 课程概述：Databricks认证数据工程师助理考试评估考生利用Databricks Lakehouse平台进行数据工程任务的能力。考生需要了解平台及其工具，包括Delta Lake，并能够使用Spark SQL和Python构建ETL管道。该考试为监考考试，采用选择题形式，考试时间为90分钟。 关键细节： - 监考：考试通过在线监考进行，以确保考试的公正性。 - 多项选择：问题以选择题形式呈现。 - 时间限制：考生有90分钟的时间完成考试。 - 不允许使用辅助工具：考试期间不允许使用外部资源或工具。 - 先决条件：没有严格的先决条件，但推荐考生具备SQL、云数据工程实践和基本Python的先前经验。 - 推荐经验：建议具备至少6个月的与考试指南中列出的数据工程任务相关的实践经验。 - 认证有效期：认证有效期为2年。 - 重新认证：为了保持认证状态，每两年需进行重新认证。 考试主题： - Databricks Lakehouse平台：理解Databricks Lakehouse平台的架构、特性和优势。 - 使用Spark SQL和Python的ELT：构建基于Spark SQL和Python的ETL管道，包括关系实体、数据处理和优化技术。 - 增量数据处理：理解和实施增量数据处理技术。 - 生产管道：在生产环境中构建和部署数据工程管道。 - 数据治理：理解和应用数据治理原则。 准备工作： - 查看考试指南：熟悉考试指南中涉及的具体主题。 - 实践经验：获得使用Databricks Lakehouse平台、Spark SQL和Python的实际操作经验。 - 练习考试：使用练习考试评估知识并识别改进领域。 - Databricks学院：考虑参加Databricks学院提供的关于Databricks Lakehouse平台的免费入门课程。 - SQL和Python基础：确保具备扎实的SQL和基本Python概念基础。 注册和费用： - 注册费用：考试费用为200美元。 - 注册方式：通过Databricks官网进行注册。
The Databricks Certified Data Engineer Associate exam assesses a candidate's ability to utilize the Databricks Lakehouse Platform for data engineering tasks. It requires understanding of the platform and its tools, including Delta Lake, and the ability to build ETL pipelines using Spark SQL and Python. The exam is proctored, multiple-choice, and has a 90-minute time limit.Key Details:Proctored: The exam is administered online with a proctor, ensuring exam integrity.Multiple Choice: Questions are presented in a multiple-choice format.Time Limit: Candidates have 90 minutes to complete the exam.No Test Aides: No external resources or tools are permitted during the exam.Prerequisites: There are no strict prerequisites, but prior experience with SQL, cloud data engineering practices, and basic Python is highly recommended.Recommended Experience: 6+ months of hands-on experience with data engineering tasks outlined in the exam guide is recommended.Validity: The certification is valid for 2 years.Recertification: Recertification is required every two years to maintain certified status.Exam Topics:The exam covers the following key areas:Databricks Lakehouse Platform: Understanding the architecture, features, and benefits of the Databricks Lakehouse Platform.ELT with Spark SQL and Python: Building ETL pipelines using Spark SQL and Python, including relational entities, data manipulation, and optimization techniques.Incremental Data Processing: Understanding and implementing incremental data processing techniques.Production Pipelines: Building and deploying data engineering pipelines in a production environment.Data Governance: Understanding and applying data governance principles.Preparation:Review the Exam Guide: Familiarize yourself with the specific topics covered in the exam guide.Hands-on Experience: Gain practical experience working with the Databricks Lakehouse Platform, Spark SQL, and Python.Practice Exams: Utilize practice exams to assess your knowledge and identify areas for improvement.Databricks Academy: Consider taking the free introductory course on the Databricks Lakehouse Platform in the Databricks Academy.SQL and Python Basics: Ensure you have a strong foundation in SQL and basic Python concepts.Registration and Cost:Registration Fee: The exam fee is $200.Registration: Registration is done through the Databricks website.
