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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-pro-machine-learning-engineer-practice-exam-ba/
课程评论：没有评论
**课程名称：** Google Pro Machine Learning Engineer - Practice Exam - 2025 **课程概述：** 本课程是一个全面的模拟考试，旨在帮助您为 Google Professional Machine Learning Engineer 认证考试做好准备。通过超过300道精心设计的练习题，您可以模拟真实考试的体验，提升信心。无论您是刚开始接触 Google Cloud，还是希望验证您的基础知识，本模拟考试都能助您成功。您将接触到真实的场景，测试对云概念的理解，并通过与实际考试相似的题型来提高决策能力。每道题目都配有详细的解释，帮助您巩固关键概念，并提供直接指向官方 Google Cloud 文档的链接，以便您深入学习，牢固掌握平台知识。 **关于 Google Professional Machine Learning Engineer 认证考试：** * **考试时长：** 120分钟 * **报名费用：** 200美元 * **可用语言：** 英语 * **考试形式：** 50-60道选择题和多选题 * **考试方式：** * 在线远程监考 * 考点现场监考 **考试指南（各部分占比）：** * **架构低代码 AI 解决方案：** 13% * **跨团队协作管理数据和模型：** 约14% * **将原型扩展为 ML 模型：** 约18% * **模型服务和扩展：** 约20% * **自动化和编排 ML 管道：** 约22% * **监控 AI 解决方案：** 13% 准备好检验您的技能，向成为 Google Professional Machine Learning Engineer 迈出重要一步吧！
Get ready to boost your confidence and ace the Google Professional Machine Learning Engineer certification with our comprehensive exam test - featuring over 300 carefully crafted practice questions designed to simulate the real exam experience.Whether you're just starting your cloud journey or looking to validate your foundational knowledge of Google Cloud, this test exam is built to help you succeed. You'll explore real-world scenarios, test your understanding of cloud concepts, and sharpen your decision-making skills through realistic question formats that mirror the actual certification exam.Each question includes a detailed explanation to reinforce key concepts and a direct link to the official Google Cloud documentation, so you can dive deeper and build a strong understanding of the platform.About Google Professional Machine Learning Engineer certification exam:Length: 120 minutesRegistration fee: $200Languages: EnglishExam format: 50-60 multiple choice and multiple select questionsExam delivery method:a. Take the online-proctored exam from a remote locationb. Take the onsite-proctored exam at a testing centerExam guideArchitecting low-code AI solutions (13% of the exam)Collaborating within and across teams to manage data and models (~14% of the exam)Scaling prototypes into ML models (~18% of the exam)Serving and scaling models (~20% of the exam)Automating and orchestrating ML pipelines (~22% of the exam)Monitoring AI solutions (~13% of the exam)Get ready to put your skills to the test and take a significant step toward becoming a Google Professional Machine Learning Engineer!
