Microsoft Azure Data Scientist Associate DP-100 Study Guide

About this course

The Microsoft Azure Data Scientist Associate (DP-100) certification contains the official Microsoft objectives that will provide proper knowledge to the candidates with the goal to upgrade their skills or simply to confirm their knowledge. The main objectives are covering the design and preparation of a machine learning solution, exploring data, training and preparing models for deployment as well as retraining model.  This practice exam includes explanations for both correct and incorrect answers, providing future candidates to learn and understand the concepts and methodologies that are appended to the Microsoft Azure Data Scientist Associate (DP-100) exam objectives while going through the practice exam.Each of the 4 exams grants the learner with a 70 minutes limited time in order to respond to all questions. The idea is to provide candidates with extended time to learn and confirm their skills while preparing for the certification.The intent here is not a “run against the clock” training exam. It is focused on providing the proper knowledge in regards to server administrators managing simple or complex server environments.The following objectives are covered:1.0 Design and prepare a machine learning solution2.0 Explore data, and train models3.0 Prepare a model for deployment4.0 Deploy and retrain a modelAt the end of this practice exam, candidates will be better prepared for the official Microsoft Azure Data Scientist Associate (DP-100).

Course objectives

• Design and prepare a machine learning solution
• Explore data, and train models
• Prepare a model for deployment
• Deploy and retrain a model