Get yourself trained on 5 Exams – with this Online Training 5 Exams – Power BI 70-778 Analyzing and Visualizing – 2019.
Online Training 5 Exams – Power BI 70-778 Analyzing and Visualizing – 2019
*****30 Days Money back guarantee*****Welcome To The Best Analyzing and Visualizing Data with Microsoft Power BI Certification practice Exams. This course has the best collection of Power BI questions available on internet. You must take these exams if you are preparing to get Power BI certification. I am Certified Power BI Professional, So I have prepared this course by keeping in mind the pattern and structure of Microsoft exam.All 200 questions are different from each other. This course doesn’t have any repeating question and it will be covering almost all topics of Microsoft Exam.Exam: Power BI 70-778 All 5 practice exams have 40 questions each.Duration: 2 Hours Passing Score: A passing score is 700 out of 1000 points. I have set passing criteria to 70% but Microsoft Exam is not exactly 70%. Its based on questions weightage set by Microsoft Experts.Language Exam: EnglishSkills measuredConsuming 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 requirementsModeling 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.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 visualsConfigure 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 fordashboards, reports and apps.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.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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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.