PDF Version DemoAnalyzing and Visualizing Data with Microsoft Power BI 70-778 Exam
Analyzing and Visualizing Data with Microsoft Power BI 70-778 Exam which is related to Microsoft Certified Solutions Associate Certification. This exam validates the ability to connect to data sources and perform data transformations, modeling and visualizing data by using Microsoft Power BI Desktop and configure dashboards by using the Power BI service. Microsoft Certified Solutions Associate usually hold or pursue this certification and you can expect the same job role after completion of this certification.
Reference: https://www.microsoft.com/en-us/learning/exam-70-778.aspx
Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI
Candidates for this exam should have a good understanding of how to use Power BI to perform data analysis. Candidates should be proficient in connecting to data sources and performing data transformations, modeling and visualizing data by using Microsoft Power BI Desktop, and configuring dashboards by using the Power BI service. Candidates should also be proficient in implementing direct connectivity to Microsoft SQL Azure and SQL Server Analysis Services (SSAS), and implementing data analysis in Microsoft Excel. Candidates may include BI professionals, data analysts, and other roles responsible for creating reports by using Power BI.
Part of the requirements for: MCSA: BI Reporting
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Online 070-778 Test Engine supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser.
Skills measured
- Configure Dashboards, Reports and Apps in the Power BI Service (25-35%)
- Consuming and Transforming Data By Using Power BI Desktop (20-25%)
- Modeling and Visualizing Data (45-50%)
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Microsoft 070-778 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Visualize Data | - Create reports and dashboards
|
| Analyze the Data | - Data insights
|
| Prepare the Data | - Get data from various sources
|
| Deploy and Maintain Deliverables | - Manage and secure data
|
| Model the Data | - Optimize model performance
|
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