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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-professional-machine-learning-engineer-practice-test-exam/
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课程名称：谷歌专业机器学习工程师实践测试 概述：该课程旨在帮助考生通过谷歌专业机器学习工程师（PMLE）认证考试，包含200多个针对最新2025考试模式的练习题，并附有详细解析，以便考生更清晰地理解关键概念。 PMLE认证考试的目标是评估专业机器学习工程师使用谷歌云技术和传统机器学习方法设计、构建、生产和优化AI及ML解决方案的能力。考生需要具备处理大数据集、撰写可重用代码、创建可扩展管道以及部署传统和生成性AI模型的技能。同时，这个角色要求跨团队协作、运用MLOps原则运营ML系统、监控解决方案并确保负责任的AI实践。尽管考试不直接测试编码，但建议考生具备基础Python和Cloud SQL知识以理解代码片段。 此认证评估考生以下能力： - 架构低代码AI解决方案 - 跨团队协作管理数据和模型 - 将原型转化为可扩展的ML模型 - 服务和扩展ML模型 - 自动化和编排ML管道 - 监控AI和ML解决方案 考试详情： - 考试代码：PMLE - 格式：50-60道多选及多选题 - 交付方式：a) 在线监考（远程） b) 现场监考（测试中心） - 分配时间：2小时 - 考试费用：200美元（加税） - 可用语言：英语 - 前提条件：无 - 推荐经验：3年以上行业经验，包括1年以上使用谷歌云构建ML/AI解决方案的经验 - 证书有效期：2年 - 重新认证：在重新认证窗口内重新参加考试（自到期前60天开始） 考试领域（2025重点区域）： - 使用Vertex AI和Model Garden架构低代码和生成性AI解决方案 - 13% - 跨职能团队协作管理数据流程、模型部署和治理 - 14% - 将原型转化为适合生产的可扩展ML系统 - 18% - 在实时环境中服务、扩展和监控模型 - 20% - 实施MLOps原则以实现自动化、CI/CD和可重复性 - 22% - 监测模型性能、公平性和合规性 - 13% 本实践测试包包含： - 300多个基于最新考试格式的问题 - 真实的题型：多选，复选 - 每个答案的详细解析 - 按领域划分的针对性实践 - 无限重测以巩固学习 - 导师支持以快速澄清问题 - 兼容移动设备的Udemy应用 - 30天退款保证 为什么选择本课程： 准备专业机器学习工程师考试吗？本课程是您取得成功的最佳实践考试。这些实践考试由Khushbu Singh和Varalaxmi B共同编写，具备丰富的机器学习、AI和谷歌云技术经验。每个问题的语气、内容和复杂性与实际考试密切匹配，并深度对应最新的领域覆盖，包括Model Garden和Vertex AI Agent Builder等生成性AI工具。无论您是想提升AI资质、争取ML/AI相关职位，还是考试前测试自己的理解，这门课程都是理想的伴侣。相信这个过程，您将获得最佳支持。欢迎来到Udemy上最好的PMLE实践测试课程。
Google Professional Machine Learning Engineer (PMLE) 200+ QuestionsPass the PMLE Exam with Confidence Latest 2025 Exam Pattern 200+ Practice Questions with Detailed Explanations for Clear UnderstandingAbout the PMLE Certification ExamA Professional Machine Learning Engineer designs, builds, productionizes, and optimizes AI and ML solutions using Google Cloud technologies and conventional machine learning approaches. These professionals are skilled in handling large datasets, writing reusable code, creating scalable pipelines, and deploying both traditional and generative AI models.The role also involves collaborating across teams, operationalizing ML systems with MLOps principles, monitoring solutions, and ensuring responsible AI practices. While the exam does not directly test coding, a basic knowledge of Python and Cloud SQL is recommended for interpreting code snippets.This certification assesses your ability to:Architect low-code AI solutionsCollaborate across teams to manage data and modelsScale prototypes into ML modelsServe and scale ML modelsAutomate and orchestrate ML pipelinesMonitor AI and ML solutionsExam Details• Exam Code: PMLE• Format: 50-60 Multiple choice and multiple select• Delivery:a) Online-proctored exam (remote)b) Onsite-proctored exam at a testing center• Time Allotted: 2 hours• Cost: $200 (plus tax where applicable)• Language Available: English• Prerequisites: None• Recommended Experience: 3+ years of industry experience, including 1+ years building ML/AI solutions with Google Cloud• Certification Validity: 2 years• Recertification: Retake the exam within the recertification window (starting 60 days before expiration)Exam Domains (2025 Focus Areas)Architecting low-code and generative AI solutions using tools like Vertex AI and Model Garden - 13%Collaborating on cross-functional teams to manage data workflows, model deployment, and governance - 14%Transforming prototypes into scalable ML systems ready for production- 18%Serving, scaling, and monitoring models in live environments-20%Implementing MLOps principles for automation, CI/CD, and reproducibility-22%Monitoring model performance, fairness, and compliance-13%What's Included in This Practice Test Pack• 300+ questions based on the latest exam format• Realistic question types: multiple choice, multiple select• Detailed explanations for every answer• Domain-wise breakdown for targeted practice• Unlimited retakes to reinforce learning• Instructor support for quick clarifications• Mobile compatible with the Udemy app• 30-day money-back guaranteeWhy This Course Is All You NeedPreparing for the Professional Machine Learning Engineer exam? This is THE practice exams course to give you the winning edge.These practice exams have been co-authored by Khushbu Singh and Varalaxmi B, who bring years of experience in machine learning, AI, and Google Cloud technologies.The tone, content, and complexity of each question are designed to closely match the real exam, with deep alignment to the latest domain coverage including generative AI tools such as Model Garden and Vertex AI Agent Builder.Whether you're aiming to boost your AI credentials, land a role in ML/AI, or test your understanding before exam day, this course is your perfect companion.Trust the process-you are in good hands.Welcome to the best PMLE practice test course on Udemy.
