DP-100 Practice Exam - Actual & Practice Questions

About this course

Exam DP-100: Designing and Implementing a Data Science Solution on AzureLatest Update on March 2024. Exam questions that have been carefully selected to ensure your success on the first try. 150+ different questions. More questions will be added soon...Skills measuredSet up an Azure Machine Learning workspace (30-35%)Run experiments and train models (25-30%)Optimize and manage models (20-25%)Deploy and consume models (20-25%)Detail SkillsDefine and prepare the development environment (15-20%)Select development environmentassess the deployment environment constraintsanalyze and recommend tools that meet system requirementsselect the development environmentSet up development environmentcreate an Azure data science environmentconfigure data science work environmentsQuantify the business problemdefine technical success metricsquantify risksPrepare data for modeling (25-30%)Transform data into usable datasetsdevelop data structuresdesign a data sampling strategydesign the data preparation flowPerform Exploratory Data Analysis (EDA)review visual analytics data to discover patterns and determine next stepsidentify anomalies, outliers, and other data inconsistenciescreate descriptive statistics for a datasetCleanse and transform dataresolve anomalies, outliers, and other data inconsistenciesstandardize data formatsset the granularity for dataPerform feature engineering (15-20%)

Course objectives

• prepare you for the DP-100 exam
• provide extensive practice questions
• cover key data science concepts in Azure