What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam
The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:
The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.
Go to the official website of Microsoft, and click on “Microsoft Learning”.
Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.
You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.
After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.
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There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at Real4Prep our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft PL-300 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model the data | 25-30% | - Design data models
|
| Manage and secure Power BI | 15-20% | - Deploy and distribute content
|
| Visualize and analyze data | 25-30% | - Enhance reports with analytics
|
| Prepare the data | 25-30% | - Get or connect to data
|
