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About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

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.

ITCertMagic 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.

4. Data Analysis (10-15%):

This section requires your skills in:

  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.
  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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What career bonuses will you get after passing the Microsoft DA-100 exam?

The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Prepare the data20%- Profile the data
  • 1. Examine data structures
  • 2. Interpret data distribution and variance
  • 3. Identify data anomalies
- Transform and load the data
  • 1. Create and transform columns
  • 2. Select appropriate column data types
  • 3. Define relationship cardinality and cross-filter direction
  • 4. Design a star schema
  • 5. Create and transform tables
- Get data from different data sources
  • 1. Identify and connect to a data source
  • 2. Change data source settings
  • 3. Select a shared dataset or create a local dataset
  • 4. Choose an appropriate Power BI data source
  • 5. Select a storage mode
- Clean the data
  • 1. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 2. Evaluate data, including data statistics and column properties
  • 3. Resolve data import errors
Model the data30%- Create measures by using DAX
  • 1. Create calculated measures
  • 2. Implement Time Intelligence using DAX
  • 3. Use DAX aggregation functions
  • 4. Create semi-additive measures
  • 5. Use DAX logical functions
- Develop a data model
  • 1. Create hierarchies
  • 2. Create calculated tables
  • 3. Implement row-level security roles
  • 4. Create calculated columns
- Optimize model performance
  • 1. Improve performance by choosing optimal data types
  • 2. Improve performance by identifying and removing unnecessary rows and columns
  • 3. Optimize Power Query transformations
- Design a data model
  • 1. Define quick measures
  • 2. Define the tables
  • 3. Define a relationship's cross-filter direction and security filtering
  • 4. Design and implement role-playing dimensions
  • 5. Configure table and column properties
Deploy and maintain deliverables10%- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Assign workspace roles
  • 3. Configure and update a workspace app
- Manage datasets
  • 1. Configure a dataset scheduled refresh
  • 2. Configure cross-workspace sharing
  • 3. Provide access to datasets
  • 4. Configure row-level security group membership
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Configure bookmarks
  • 2. Apply sorting
  • 3. Create custom tooltips
  • 4. Group and layer visuals
  • 5. Edit and configure interactions between visuals
  • 6. Configure navigation for a report
  • 7. Configure sync slicers
- Perform advanced analysis
  • 1. Use the Analyze feature
  • 2. Identify outliers
  • 3. Use advanced analytical custom visuals
  • 4. Perform What-if analysis
Visualize the data25%- Create dashboards
  • 1. Use the Q&A feature
  • 2. Configure data alerts
  • 3. Manage tiles on a dashboard
  • 4. Set mobile view
- Create reports
  • 1. Add visualization items to reports
  • 2. Configure conditional formatting
  • 3. Apply slicing and filtering
  • 4. Choose an appropriate visualization type
  • 5. Format and configure visualizations
  • 6. Create and manage bookmarks
  • 7. Import a custom visual
- Enforce accessibility
  • 1. Configure tab order
  • 2. Design accessible reports
  • 3. Use accessibility features

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