Google Cloud Professional Data Engineer Exam - May 2023 - 1

所在平台: Udemy

课程主页: https://www.udemy.com/course/google-cloud-professional-data-engineer-exam-may-2023-1-a/

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**课程名称:** Google Cloud Professional Data Engineer Exam - May 2023 - 1 **课程概述:** 本课程旨在为准备参加 Google Cloud Professional Data Engineer 认证考试的学员提供全面的备考资源。课程包含 **4 套练习题**和 **2 套模拟题**。 * **练习题:** 每套练习题包含 108 道题目。强烈建议学员在进行模拟测试前,先完成练习题,深入理解每道题的解析,再进入模拟测试环节。 * **模拟题:** 每套模拟题包含 55 道题目,考试时长为 **2 小时**。模拟题的题目和选项顺序会随机变化,严格模拟真实考试环境和规则。 **职业定位:** **专业数据工程师 (Professional Data Engineers)** 通过收集、转换和发布数据,支持数据驱动的决策制定。数据工程师需要能够设计、构建、运营、保护和监控数据处理系统,重点关注安全性与合规性、可扩展性与效率、可靠性与保真度以及灵活性与可移植性。此外,数据工程师还应能利用、部署和持续训练预先存在的机器学习模型。 **考试内容板块:** 专业数据工程师考试将评估您在以下方面的能力: * 设计数据处理系统 * 运营机器学习模型 * 确保解决方案质量 * 构建和运营数据处理系统 **考试信息:** * **时长:** 2 小时 * **注册费用:** 200 美元(不含税) * **语言:** 英语、日语 * **考试形式:** 50-60 道选择题和多选组合题 **课程目标:** 通过本课程的高强度练习和模拟,学员将能够: * 熟悉 Google Cloud 数据工程服务及其最佳实践。 * 提升设计、构建和管理数据处理系统的能力。 * 掌握运用和部署机器学习模型的方法。 * 增强在真实考试环境中应对各类题型的信心和技巧。 * 识别学习中的薄弱环节,并进行有针对性的复习,最终成功通过 Google Cloud Professional Data Engineer 认证考试。

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课程详情

This is a course that provides practice tests for individuals preparing to take the Google Cloud Professional Data Engineer Exam. This course contains 4 practice tests and 2 mock tests. each practice test has 108 questions. and each mock test has 55 questions. Please don't examine your self with the practice test. For passing the exam you should do the practice tests first, deep dive on it, read the explanation carefully and after that do the mock tests to examine yourself. The Mock tests has a time limit of 2 hours and everytime the you try it, the order of questions and answers will change. The rules of mock tests are as same as the real exam.Professional Data EngineersProfessional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.The Professional Data Engineer exam assesses your ability to:Design data processing systemsOperationalize machine learning modelsEnsure solution qualityBuild and operationalize data processing systemsAbout the Exam:Length: 2 hoursRegistration fee: $200 (plus tax where applicable)Languages: English, Japanese.Exam format: 50-60 multiple choice and multiple select questions

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