Last Updated: Jun 27, 2026
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You will need to follow these steps:
Go to the Microsoft Learning website and click on “Register Now”.
There are 2 options you can choose from:
Option 1: Register with Prometric Testing Center. This option allows you to take your exam at any Prometric testing center.
Option 2: Register with Pearson VUE Testing Center. This option allows you to take your exam at any Pearson VUE testing center.
If you choose this option then select the nearest testing center that is convenient for you to reach (you can find all available locations by clicking here).
Once you have chosen which test center you would like to use, enter the information needed in order to register for the exam (e.g., name, address, etc.). You may also need to provide a credit card number in order to pay for the registration fee (this depends on your selected test center).
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-500
Candidates for this exam should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Azure Enterprise Data Analyst Associate
Microsoft DP-500 exam is an important certification exam, which is part of the Microsoft Data Analytics Solutions certification.
The following are the key features of Microsoft DP-500 exam:
This exam tests your ability to design a secure, reliable, and high-performing cloud solution for business analytics.
Following Topics:
Designing and implementing enterprise scale analytics solutions using Microsoft Azure
Designing and implementing enterprise scale analytics solutions using Microsoft Azure HDInsight
Designing and implementing enterprise scale analytics solutions using SQL Server 2016 Databases
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