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For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.

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3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.
  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.

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

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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