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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:

  • Enrich reports for usability
  • Drilldown into data using interactive visuals
  • Add a dashboard theme
  • Apply sorting
  • Configure data classification
  • Use the selection pane
  • Export report data
  • Configure Sync Slicers
  • Use the Q&A feature
  • Format and configure visualizations
  • Use drillthrough and cross filter
  • Choose an appropriate visualization type
  • Create custom tooltips
  • Create dashboards
  • Configure navigation for a report
  • Design and configure for accessibility
  • Configure the report page
  • Set mobile view
  • Configure bookmarks
  • Apply slicing and filtering
  • Pin a live report page to a dashboard
  • Edit and configure interactions between visuals
  • Manage tiles on a dashboard
  • Design reports for mobile devices
  • Add an R or Python visual
  • Configure conditional formatting
  • Configure automatic page refresh
  • Add visualization items to reports
  • Import a custom visual
  • Configure data alerts
  • Create reports

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Model the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Improve cardinality levels by changing data types
  • Use DAX to build complex measures
  • Improve cardinality levels through summarization
  • Develop a data model
  • Use basic statistical functions to enhance data
  • Create calculated columns
  • Create semi-additive measures
  • Identify poorly performing measures, relationships, and visuals
  • Define a relationship's cardinality and cross-filter direction
  • Resolve many-to-many relationships
  • Set up the Q&A feature
  • Use CALCULATE to manipulate filters
  • Configure table and column properties
  • Remove unnecessary rows and columns
  • Create calculated tables
  • Replace numeric columns with measures
  • Flatten out a parent-child hierarchy
  • Create a common date table
  • Design the data model to meet performance requirements
  • Define the appropriate level of data granularity
  • Create measures by using DAX
  • Create and manage aggregations
  • Create hierarchies
  • Implement Time Intelligence using DAX
  • Define role-playing dimensions
  • Define quick measures
  • Define the tables
  • Implement row-level security roles
  • Optimize model performance
  • Design a data model
  • Apply cross-filter direction and security filtering

If you are a data analyst striving to get your skills validated in the scope of data assets, transformations, and models, then the Microsoft DA-100 exam is the one that will assist you with this.

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

How can you prepare for the Microsoft DA-100 exam to succeed?

The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:

  • Free Online Training

    The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.

  • Practice Test

    Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.

  • Books

    The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.

  • Instructor-Led Training

    Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.

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Microsoft DA-100 Exam Syllabus Topics:

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

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