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Microsoft DP-100 Facts

100% Latest Microsoft DP-100 exam dumps & updated practice test questions to study and pass Microsoft DP-100 exam fast and easily! Updated & Latest Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure practice exam questions & braindumps uploaded by the real users and reviewed by experts for easy studying and passing Read More.

About DP-100 Exam

The Microsoft DP-100 is the industry-recognized certification exam that helps the candidates to apply their adeptness with the data science & machine learning domains as well as ML workloads based on Azure. Therefore, if you want to pursue your career in data science solutions within the IT field, this test is a must-do for you. It will lead you to the prestigious Microsoft Certified: Azure Data Scientist Associate certification.

Who Is DP-100 Intended for?

This exam, in particular, is designed for the candidate who wants to pursue his/her career as a data scientist and has prior knowledge of programming and the usage of analytical tools. You should also have an understanding of devising a suitable setting for workloads of data science created on Azure. The applicants should then possess expertise in model monitoring & optimizing, carrying out experiments for data, and dealing with predictive chapters for training. Besides, you must also possess a knack for executing ML models into the process of production.

What Is Microsoft DP-100 Test?

The DP-100 is known for designing and implementing a data science solution on Azure. Also, it comes in English, Simplified Chinese, Korean, and Japanese. When it comes to the entry fee, you have to pay $165 and this price varies from country to country. Like other Microsoft evaluations, it consists of 40-60 questions and you need to attempt them within 130-150 minutes. Then, you will find variously formatted items in the main exam like multiple-choice, active screen, best answer, and the like. The passing score for the exam is 700 or above so you have to get this rate to qualify for certification.

What Are Topics Covered by DP-100 Exam?

You can do your best in the final test if you master the domains covered by it. Thus, here’s what you need to master to clear DP-100:

  • Setting up an Azure Machine Learning Workspace (30-35%);
  • Optimizing and Managing Models (20-25%);
  • Deploying and Consuming Models (20-25%);
  • Running Experiments and Training Models (25-30%).

Training Courses Recommended for Preparation for DP-100 Exam

If you’re currently looking for effective and high-end test courses, here’s a helpful list from the certification vendor:

  • Creating Machine Learning Models

    It is a free online learning path that is the best gateway for candidates who want to enhance their knowledge about machine learning. In particular, it is an intermediate course that is applicable for learning predictive modeling and artificial intelligence. Here, you will learn about the core principles of machine learning and how to utilize the tools alongside frameworks to facilitate, evaluate, and use machine learning models. To understand this class, you just require basic knowledge of Python and some mathematical concepts. Next, the candidates will get knowledge with the help of these modules:

    • Exploring and analyzing data with Python;
    • Training and evaluating regression models;
    • Training & evaluating classification models;
    • Evaluating and training clustering models;
    • Assessing deep learning models.
  • Creating No-Code Predictive Models with Azure Machine Learning

    You will find this free online session very informative when it comes to learning about predictive models with Azure Machine Learning. It will help the candidates to learn how to use Azure Machine Learning and create models without writing code. What is more, you will be able to learn about using automated machine learning in Azure Machine Learning, creating regression models with Azure ML designer, creating a classification model with the same, and making a clustering model also by using the Azure ML designer. In all, you don't need to spare a lot of time for this learning path and with it, you will learn a lot in a very short time as this course is up to the point and very comprehensive.

  • Building Al Solutions with Azure Machine Learning

    Being one of the best ways to expand your knowledge and prepare for the real DP-100 exam, this free learning path will lead you to success by helping you in training, deploying, and managing machine learning models. More so, here, you will learn how to utilize machine learning Python SDK to prepare enterprise-ready Al solutions. You don't require advanced-level knowledge to understand this course, however, it is recommended to have basic knowledge of machine learning models with Python and open-source frameworks such as PyTorch, Scikit-Learn, and TensorFlow. All in all, via this training, you will get a chance to enhance your skills in Azure Machine Learning SDK, Machine Learning models, and real-time machine learning services. Undoubtedly, the candidates will be fully prepared for the actual test if they take this learning path attentively and focus on the relevant information to avoid distractions.

  • Course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure

    This is a 3-day instructor-led course offered by Microsoft that helps the candidates to learn about the machine learning solutions at a cloud-scale utilizing Azure Machine Learning. Particularly, it allows the individuals to expand their knowledge of Python and machine learning to handle the data ingestions and preparation, machine learning solution monitoring in Microsoft Azure, and its training alongside deployment. To be exact, such a class is mainly designed for data scientists who have prior knowledge of Python and machine learning frameworks, and if you are one, overall, you will come across 10 modules in this training:

    • Getting Started with Azure Machine Learning;
    • No-Code Machine Learning;
    • Running Experiments and Training Models;
    • Working with Data;
    • Orchestrating Operations with Pipelines;
    • Working with Compute;
    • Deploying and Consuming Models;
    • Responsible Machine Learning;
    • Training Optimal Models;
    • Monitoring Models.

    It’s noteworthy that you will also get an opportunity to practice the course concepts by getting the hands-on labs available for you. These labs consist of knowledge that will give you real-life case studies to resolve issues using Machine Learning solutions.

Conclusion

Now that you know about the training courses that can help you get ready for the Microsoft DP-100 exam, you should enroll in them to start your preparation. This evaluation tests your deep understanding of data science so you must be familiar with all the concepts of the tested domains. Thus, don't delay and embark on the journey of success by taking guidance from classes taught by Microsoft Azure Machine Learning experts. This will not only help you pass the main exam but will also enhance your standing in the niche and get you a generous annual pay.

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