Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Microsoft DP-100 Practice Test
Rating: 3.8 out of 5(4 ratings)
532 students

Microsoft DP-100 Practice Test

Are you ready to explore your self on Microsoft DP-100!!
Created byMohamed Ouabach
Last updated 2/2025
English

What you'll learn

  • Preparing data for machine learning
  • The course is intended for data scientists, data engineers, and other data professionals.
  • who want to expand their skills and knowledge in using Azure to build and deploy data science models.
  • Understanding data science and machine learning concepts
  • Building and deploying machine learning models using Azure Machine Learning
  • Scaling and operationalizing machine learning models using Azure Kubernetes Service (AKS) and Azure Container Instances (ACI)

Included in This Course

185 questions

  • WARMUP5 questions
  • Practice Test #A#60 questions
  • Practice Test #B#60 questions
  • Practice Test #C#60 questions

Description

MICROSOFT DP-100: DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE

The 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 CONTENT

This 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 METHOD

The 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 on Azure.

CERTIFICATION EXAM DETAILS

The Microsoft DP-100 exam, "Designing and Implementing a Data Science Solution on Azure," consists of 40-60 multiple-choice questions and must be completed within 150 minutes. The exam evaluates candidates' proficiency in machine learning, data science principles, and Azure services covered in the course.

The passing score for the DP-100 exam is not publicly disclosed by Microsoft, as it varies based on the exam difficulty and test-taker performance.

By completing this course and certification, professionals demonstrate their ability to design, implement, and deploy data science solutions using Azure technologies.

Who this course is for:

  • It's also intended for professionals who are looking to gain the Microsoft Certified: Azure Data Scientist Associate certification, which demonstrates their expertise in designing and implementing data science solutions on Azure.
  • The course is also beneficial for professionals in the field of Data Science, Artificial intelligence, Business Intelligence, Machine learning, big data, analytics, and data engineering.
  • It's important to note that the course is technical in nature, and you should have a good understanding of the concepts and technologies used in the course before taking it.
  • The Microsoft DP-100 course, "Designing and Implementing a Data Science Solution on Azure," is intended for data scientists, data engineers, and other data professionals who want to expand their skills and knowledge in using Azure to build and deploy data science models. The course is designed for individuals who have experience working with data, as well as some knowledge of machine learning concepts and programming languages such as Python.

Report abuse