Google Professional ML Engineer Test 2023 | Free Udemy Course

Welcome and good day this practice test is for any one want to prove himself in Google Professional ML EngineerWhat is the Google Professional ML Engineer?Professional Machine Learning EngineerA Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. The ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance.The Professional Machine Learning Engineer exam assesses your ability to:Frame ML problemsDevelop ML modelsArchitect ML solutionsAutomate and orchestrate ML pipelinesDesign data preparation and processing systemsMonitor, optimize, and maintain ML solutionsAbout of the real certification exam:Length: Two hoursRegistration fee: $200 (plus tax where applicable)Language: EnglishExam format: 50-60 multiple choice and multiple select questionsExam Delivery Method:a. Take the online-proctored exam from a remote location, review the online testing requirementsb. Take the onsite-proctored exam at a testing center, locate a test center near youPrerequisites: NoneRecommended experience: 3+ years of industry experience including 1 or more years designing and managing solutions using Google Cloud.Certification Renewal / Recertification: Candidates must recertify in order to maintain their certification status. Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date of certification. Recertification is accomplished by retaking the exam during the recertification eligibility time period and achieving a passing score. You may attempt recertification starting 60 days prior to your certification expiration date.This exam format:Length: 120 minLanguage: EnglishNumber of questions: 50 multiple choice and multiple select questionsPassing scor: 70%Who this course is for:For Student or people who want to learn, be professional and get certified on Google Professional ML Engineer

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