Exam DP-900: Microsoft Azure Data Fundamentals
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.
Part of the requirements for: Microsoft Certified: Azure Data Fundamentals
Microsoft Azure Data Fundamentals Exam Certification Details:
| Exam Price | $99 (USD) |
| Duration | 60 mins |
| Exam Code | DP-900 |
| Schedule Exam | Pearson VUE |
| Passing Score | 700 / 1000 |
| Number of Questions | 40-60 |
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
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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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe core data concepts | 25-30% | - Identify options for data storage
|
| Topic 2: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
| Topic 3: Describe an analytics workload on Azure | 25-30% | - Describe analytics concepts
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|



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