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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-test-databricks-certified-data-engineer-associate/
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课程名称：Databricks认证数据工程师助理考试实践测试2024 课程概述： 欢迎参加Databricks认证数据工程师助理实践测试2024。你准备好通过Databricks认证数据工程师助理考试了吗？通过测试你自己的知识来确认你的掌握程度！本实践测试包含120道问题，旨在帮助你确认对相关主题的掌握，并提供参加数据工程师助理考试所需的信心。 实践测试模拟了实际考试的时间限制，以帮助你了解是否能够在规定时间内完成实际考试。本测试涵盖了Databricks认证数据工程师助理考试目标中的所有主题，包括： - Databricks Lakehouse平台 - 24% - 使用Spark SQL和Python进行ELT - 29% - 增量数据处理 - 22% - 生产管道 - 16% - 数据治理 - 9% Databricks认证数据工程师助理认证考试评估个人使用Databricks Lakehouse平台完成入门级数据工程任务的能力。这包括理解Lakehouse平台及其工作区、架构和功能。此外，还评估使用Apache Spark™ SQL和Python在批处理和增量处理模型中执行多跳架构ETL任务的能力。最后，考试评估考生在保持实体权限的同时，将基本ETL管道和Databricks SQL查询及仪表板投入生产的能力。 通过此认证考试的个人预期能够使用Databricks及其相关工具完成基本数据工程任务。 考试详情： - 类型：监考认证 - 总问题数：45 - 时间限制：90分钟 - 问题类型：选择题 此实践测试将帮助考生更好地准备认证考试，虽然并不能保证成功通过。
Welcome to the Databricks Certified Data Engineer Associate Practice Test 2024.Are you ready to pass the Databricks Certified Data Engineer Associate exam? Find out by testing yourself! This practice test includes 120 questions to help you confirm your mastery of the topics and provide the confidence you'll need to take your Data Engineer Associate exam.The Practice Sets are designed to help prepare you for the Databricks Certified Data Engineer Associate Exam, but they do not guarantee success!The Practice Tests simulate the actual exam with time so that you would know if you can complete the actual exam within the allotted time.In this practice test, we'll cover all the topics included in the Databricks Certified Data Engineer Associate exam objectives, including:Databricks Lakehouse Platform - 24%ELT With Spark SQL and Python - 29%Incremental Data Processing - 22%Production Pipelines - 16%Data Governance - 9%The Databricks Certified Data Engineer Associate certification exam assesses an individual's ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark™ SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester's ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.Exam DetailsType: Proctored certificationTotal number of questions: 45Time limit: 90 minutesQuestion types: Multiple choice
