Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

This course is part of Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization

Instructor: Microsoft

What you'll learn

  •   Develop best practice study methods to prepare for Microsoft certification exams
  •   Develop test-taking techniques that work in Microsoft certification exams
  •   Outline the key points covered in the DP-900: Microsoft Azure Data Fundamentals exam
  •   Describe best practices in preparing for and demonstrate proficiency in the skills measured in the DP-900: Microsoft Azure Data Fundamentals exam
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  • Skills you'll gain

  •   Cloud Computing
  •   Test Planning
  •   Analytics
  •   Data Lakes
  •   SQL
  •   NoSQL
  •   Relational Databases
  •   Microsoft Azure
  •   Data Warehousing
  •   Data Storage
  •   Databases
  •   Cloud Storage
  • There are 4 modules in this course

    You will refresh your knowledge of the fundamentals of database concepts in a cloud environment, the basic skilling in cloud data services, and foundational knowledge of cloud data services within Microsoft Azure. You will recap on non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. You will test your knowledge in a series of practice exams​ mapped to all the main topics covered in the DP-900 exam, ensuring you’re well prepared for certification success. You will prepare to pass the certification exam by taking practice tests with similar formats and content. You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-900 proctored exam. By the end of this course, you will be ready to sign-up for and take the DP-900 exam.​ This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

    Exam Prep 1

    Exam Prep 2

    Full Practice Exam

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