Practice Test - Databricks Machine Learning Professional

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Practice Test - Databricks Machine Learning Professional

About this course

                                                                  Databricks Certified Machine Learning ProfessionalThe Databricks Certified Machine Learning Professional certification exam assesses an individual’s ability to use Databricks Machine Learning and its capabilities to perform advanced machine learning in production tasks. This includes the ability to track, version, and manage machine learning experiments and manage the machine learning model lifecycle. In addition, the certification exam assesses the ability to implement strategies for deploying machine learning models. Finally, test-takers will also be assessed on their ability to build monitoring solutions to detect data drift. Individuals who pass this certification exam can be expected to perform advanced machine learning engineering tasks using Databricks Machine Learning.This exam covers:Experimentation - 30%Model Lifecycle Management - 30%Model Deployment - 25%Solution and Data Monitoring - 15%Assessment Details:Type: Proctored certificationTotal number of questions: 60Time limit: 120 minutesRegistration fee: $200Question types: Multiple choiceTest aides: None allowedLanguages: EnglishDelivery method: Online proctoredPrerequisites: None, but related training highly recommendedRecommended experience: 1+ years of hands-on experience performing the machine learning tasks outlined in the exam guideValidity period: 2 yearsRecertification: Recertification is

What you'll learn

  • understanding of machine learning experiment management
  • ability to manage the machine learning model lifecycle
  • skills in deploying machine learning models
  • capability to build monitoring solutions for data drift

Course objectives

  • prepare for the Databricks Certified Machine Learning Professional certification exam
  • develop practical skills in advanced machine learning engineering tasks

Skills you'll gain

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