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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-engineer-associate-exam/
课程评论：没有评论
课程名称：Databricks认证数据工程师助理考试实践 概述：如果您希望通过实践测试为Databricks数据工程师助理认证考试做好准备，您来对地方了！本课程提供两份实践测试，附有详细解释，帮助您为真实考试做好准备。Databricks认证数据工程师助理考试评估考生使用Databricks Lakehouse平台执行基础数据工程任务的能力。这包括理解平台、架构以及使用Apache Spark SQL和Python进行的ETL任务。考试评估考生将ETL管道和Databricks SQL查询投入生产的能力，同时维护实体权限。通过此认证验证考生能够完成使用Databricks的基本数据工程任务。 认证考试包含45道选择题，考生有90分钟的时间完成考试。考试涵盖的主题包括Databricks Lakehouse平台、使用Spark SQL和Python进行的ELT、增量数据处理、生产管道以及数据治理。每次考试费用为200美元，考生可以无限次重考。该认证在通过日期后有效期为两年。 该认证考试是数据工程师学习路径的一部分。获得此认证确认个人有效使用Databricks Lakehouse平台及其相关工具的能力，展示使用Apache Spark SQL和Python构建ETL管道、增量处理数据以及为数据工程应用和Databricks SQL查询及仪表板构建生产管道的能力，同时遵循最佳安全实践。此认证在行业内极具价值，验证个人在数据工程任务中使用Databricks的技能。
If you're seeking practice tests to prepare for the Databricks Data Engineer Associate certification exam, you've landed on the right page! We offer two practice tests, complete with detailed explanations, to help you get ready for the real exam.The Databricks Certified Data Engineer Associate certification exam evaluates the ability to perform introductory data engineering tasks using the Databricks Lakehouse Platform. This includes understanding the platform, architecture, and ETL tasks using Apache Spark SQL and Python. The exam assesses the ability to put ETL pipelines and Databricks SQL queries into production while maintaining entity permissions. Passing this certification verifies the ability to complete basic data engineering tasks using Databricks.The certification exam has 45 multiple-choice questions, and testers have 90 minutes to complete it. The exam covers topics such as the Databricks Lakehouse Platform, ELT with Spark SQL and Python, incremental data processing, production pipelines, and data governance. The exam costs $200 per attempt, and testers may retake it as many times as they want. The certification is valid for two years following the passing date.The certification exam is part of the Data Engineer learning pathway. Achieving this certification confirms an individual's ability to use the Databricks Lakehouse Platform and its associated tools effectively. It demonstrates the ability to build ETL pipelines using Apache Spark SQL and Python, incrementally process data, and build production pipelines for data engineering applications and Databricks SQL queries and dashboards while following best security practices. The certification is valuable in the industry, as it verifies an individual's skills in using Databricks for data engineering tasks.
