Analyzing and Visualizing Data with Microsoft Power BI (70-778) Practice Exam - RETIRED
Analyzing and Visualizing Data with Microsoft Power BI (70-778) Practice Exam
About Analyzing and Visualizing Data with Microsoft Power BI (70-778) Practice Exam
Analyzing and Visualizing Data with Microsoft Power BI (70-778) Practice Exam helps to demonstrate real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, with focus on the critical thinking and decision-making acumen needed for success at the MCSA level. Candidates expertise is measured by these objectives - Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service
This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area on the exam. The higher the percentage, the more questions you are likely to see on that content area on the exam.
are exam updates effective as of March 1, 2018.
Who should take this exam?
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, modelling 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.
Exam Details
- Languages: English
- Audiences: BI professionals, data analysts
- Technology: Microsoft Excel
- Credit toward certification: MCSA
- Price: $165.00 USD*
Course Structure
Consuming and Transforming Data By Using Power BI Desktop
- Connect to data sources - May include: Connect to databases, files, folders; import from Excel; connect to SQL Azure, Big Data, SQL Server Analysis Services (SSAS)
- Perform transformations - May include: Design and implement basic and advanced transformations; apply business rules; change data format to support visualization
- Cleanse data - May include: Manage incomplete data; meet data quality requirements
Modeling and Visualizing Data
- Create and optimize data models. - May include: Manage relationships; optimize models for reporting; manually type in data; use Power Query
- Create calculated columns, calculated tables, and measures - • May include: Create DAX formulas for calculated columns, calculated tables, and measures; Use What If parameters
- Measure performance by using KPIs, gauges and cards - May include: calculate the actual; calculate the target; calculate actual to target; configure values for gauges; use the format settings to manually set values
- Create hierarchies - May include: Create date hierarchies; create hierarchies based on business needs; add columns to tables to support desired hierarchy
- Create and format interactive visualizations - May include: Select a visualization type; configure page layout and formatting; configure interactions between visual; configure duplicate pages; handle categories that have no data; configure default summarization and data category of columns; position, align, and sort visuals; enable and integrate R visuals; format measures; Use bookmarks and themes for reports
- Manage custom reporting solutions - This may include, Configure and access Microsoft Power BI Embedded; enable developers to create and edit reports through custom applications; enable developers to embed reports in applications; use the Power BI API to push data into a Power BI dataset; enable developers to create custom visuals
Configure Dashboards, Reports and Apps in the Power BI Service
- Access on-premises data - May include: Connect to a data source by using a data gateway;publish reports to the Power BI service from Power BI Desktop; edit Power BI Service reports by using Power BI desktop
- Configure a dashboard - May include: Add text and images; filter dashboards; dashboard settings; customize the URL and title; enable natural language queries
- Publish and embed reports - May include: Publish to web; publish to Microsoft SharePoint; publish reports to a Power BI Report Server
- Configure security for dashboards, reports and apps - This may include: Create a security group by using the Admin Portal; configure access to dashboards and app workspaces; configure the export and sharing setting of the tenant; configure Row-Level Security
- Configure apps and apps workspaces - This may include: Create and configure an app workspace; publish an app; update a published app; package dashboards and reports as apps
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