Microsoft DP-100 Practice Test

About this course

MICROSOFT DP-100: DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZUREThe Microsoft DP-100 course, "Designing and Implementing a Data Science Solution on Azure," is a specialized technical training program designed to equip data scientists, data engineers, and other data professionals with the expertise required to develop and deploy data science solutions on the Azure platform.COURSE CONTENTThis course covers a broad range of topics, including:Understanding Data Science and Machine Learning Concepts – Fundamental principles of data science and machine learning methodologies.Preparing Data for Machine Learning – Techniques for data preprocessing and feature engineering.Building and Deploying Machine Learning Models – Utilizing Azure Machine Learning to develop and operationalize machine learning models.Scaling and Operationalizing Models – Leveraging Azure Kubernetes Service (AKS) and Azure Container Instances (ACI) for scalable deployment.Advanced Analytics and Visualization – Implementing solutions using Azure Databricks and Power BI.Managing and Monitoring Models – Utilizing Azure Machine Learning for continuous monitoring and optimization.Throughout the course, students will gain practical experience with Azure services, including Azure Machine Learning, Azure Databricks, and Power BI, through lab exercises and real-world scenarios.DELIVERY METHODThe course is delivered through a mix of instructor-led training, self-paced online modules, and hands-on lab exercises. Participants who successfully complete the course and pass the associated certification exam will earn the Microsoft Certified: Azure Data Scientist Associate certification, validating their expertise in data science solutions

Course objectives

• prepare participants for the Microsoft Certified: Azure Data Scientist Associate certification
• equip learners with the skills to develop data science solutions on Azure
• provide hands-on experience with Azure services