Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Nex Arc
Rating
Course Overview
Practice tests & in-depth explanations for Azure ML, data preparation, model deployment, and exam strategies
Are you preparing for the DP-100 Microsoft Azure Data Scientist Associate certification? This comprehensive course is designed to help you master the skills and knowledge needed to excel in the DP-100 exam and become a certified Azure Data Scientist Associate.
This course provides a series of expertly crafted practice exams that closely mirror the actual DP-100 exam format, ensuring you are fully prepared for the types of questions you’ll encounter. Each question comes with detailed explanations and references to Microsoft documentation, helping you understand not just the correct answer, but the reasoning behind it.
You will learn how to design and implement end-to-end machine learning solutions on Azure, including data preparation, feature engineering, and model training using Azure Machine Learning. The course covers deploying models for real-time and batch inference, monitoring and optimizing model performance, and applying responsible AI principles in production environments. You’ll also gain knowledge about data exploration, pipeline automation, and troubleshooting common issues faced by Azure data scientists.
Whether you are a data scientist, machine learning engineer, or IT professional looking to validate your skills, this practice exam questions sets will equip you with the confidence and expertise to pass the DP-100 exam on your first attempt. Join now and take the next step in your cloud data science career!
Course Content
- 1 section(s)
- Section 1 Practice Tests
What You’ll Learn
- Design and prepare end-to-end machine learning solutions using Microsoft Azure Machine Learning.
- Explore, preprocess, and manage data assets to build robust machine learning models on Azure
- Train, deploy, and operationalize machine learning models, including real-time and batch inference pipelines
- Optimize and monitor models in production, including hyperparameter tuning, responsible AI, and model retraining workflows
Skills covered in this course
Reviews
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KKeilani Daniel
Very practical practice tests, covers important topics, friendly explanations, helps identify weak areas quickly and effectively.
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AArcher Ivan Deacon
Comprehensive questions simulate real Microsoft Azure Data Scientist scenarios.
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LLaurel Savannah
Well-structured practice questions, perfectly aligned with the actual DP-100 exam format.
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JJovi Maxwell
Detailed explanations after each question, ideal for mastering Azure Data Science concepts.
