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The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.
Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
Introduction
If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
| Section | Weight | Objectives |
|---|---|---|
| Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|
| Core Data Concepts | 25-30% | - Types of core data workloads - Relational vs non-relational data - Data analytics workloads overview - Roles and responsibilities in data work |
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
| Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Data analytics concepts - Azure analytics services
|
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