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Ideal Audience and Required Skills

DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test 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.

UpdateDumps 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.

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

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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