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The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.
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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Visualize the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Configure conditional formatting
- Configure data alerts
- Use the Q&A feature
- Configure automatic page refresh
- Create reports
- Apply sorting
- Drilldown into data using interactive visuals
- Apply slicing and filtering
- Edit and configure interactions between visuals
- Configure navigation for a report
- Format and configure visualizations
- Configure the report page
- Add visualization items to reports
- Manage tiles on a dashboard
- Enrich reports for usability
- Choose an appropriate visualization type
- Pin a live report page to a dashboard
- Add an R or Python visual
- Import a custom visual
- Add a dashboard theme
- Set mobile view
- Create custom tooltips
- Design and configure for accessibility
- Use drillthrough and cross filter
- Create dashboards
- Use the selection pane
- Configure data classification
- Configure Sync Slicers
- Design reports for mobile devices
- Export report data
- Configure bookmarks
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
How to Prepare for Exam DA-100: Analyzing Data with Microsoft Power BI
Preparation Guide for Exam DA-100: Analyzing Data with Microsoft Power BI
Introduction for Exam DA-100: Analyzing Data with Microsoft Power BI
Analyzing Data with Microsoft Power BI certification demonstrates your expertise in analyzing data with both Power BI. This certification is for data analysts who are responsible for designing and building scalable data models, cleaning, transforming, and analyzing data. The exam includes questions about Data preparation, tools, queries and tables, visualization types and support, dashboards creation. Data Analysts also collaborate with IT and business teams to ensure that data analysis is providing business value.
Sfyc-Ru offers detailed exam dumps and MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test to prepare candidates, who are going to be data analysts in the future, to prepare and pass this exam in the first go.
Exam DA-100: Analyzing Data with Microsoft Power BI will allow you to learn:
- Perform Quick Data Analysis with Power BI
With the help of Power BI, you can collect your company's data, whether it's located in the cloud or locally, and provides quick and easy access to this data - all without having to ask any human being for help.
- Generate Accurate Interactive reporting
Your customers can see all data on one screen and the Power BI Mobile apps are automatically updated with changes to your data so you can access updated data and reports, no matter where you are.
- Financial overview
Companies of a certain size can benefit from Power BI's analytical reporting features and the ability to access their data across multiple devices.
- How Power BI is user friendly
With the help of Power BI innovative tools, you can easily find out what data you want to see and how the results will look like. The tool allows you to switch between different formats in order to give you a more visual representation of your data. Power BI can also connect to a wide variety of databases and information sources, including cloud-based sources such as Azure SQL Database, Oracle, Salesforce.com, Amazon Redshift, Dropbox Business, Google Analytics Premium, and Tableau Online.
- Power BI Data Visualization
Power BI makes productive and creative. You no longer need to go through complex processes without leaving the Power BI interface. The benefit of this process is that you can, as a company, focus on the data and actions of your customers rather than creating lengthy reports and documents to satisfy them. It combines data from multiple sources into a single, standardized, format.
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