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      Exam DA-100: Analyzing Data with Microsoft Power BI

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

      Exam DA-100: Analyzing Data with Microsoft Power BI

      Audience Profile

      Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, data analysts are responsible for designing and building scalable data models, cleaning and transforming data,and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
      Data analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

      The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

      Skills Measured

      NOTE: The bullets that appear below each of the skills measured are intended to illustrate how we are assessing that skill.
      This list is not definitive or exhaustive.
      NOTE: In most cases, exams do NOT cover preview features, and some features will
      only be added to an exam when they are GA (General Availability).

      Prepare the Data (20-25%)

      Get data from different data sources

      • identify and connect to a data source
      • change data source settings
      • select a shared dataset or create a local dataset
      • select a storage mode
      • choose an appropriate query type
      • identify query performance issues
      • use the Common Data Service (CDS)
      • use parameters

      Profile the data

      • identify data anomalies
      • examine data structures
      • interrogate column properties
      • interrogate data statistics

      Clean, transform, and load the data

      • resolve inconsistencies,
        unexpected or null values, and data quality issues
      • apply user-friendly value replacements
      • identify and create appropriate keys for joins
      • evaluate and transform column data types
      • apply data shape transformations to table structures
      • combine queries
      • apply user-friendly naming conventions to columns and queries
      • leverage Advanced Editor to modify Power Query M code
      • configure data loading
      • resolve data import errors
      Model the Data (25-30%)

      Design a data model

      • define the tables
      • configure table and column properties
      • define quick measures
      • flatten out a parent-child hierarchy
      • define role-playing dimensions
      • define a relationship’s cardinality and cross-filter direction
      • design the data model to meet performance requirements
      • resolve many-to-many relationships
      • create a common date table
      • define the appropriate level of data granularityDevelop a data model
      • apply cross-filter direction and security filtering
      • create calculated tables
      • create hierarchies
      • create calculated columns
      • implement row-level security roles
      • set up the Q&A feature

      Create measures by using DAX

      • use DAX to build complex measures
      • use CALCULATE to manipulate filters
      • implement Time Intelligence using DAX
      • replace numeric columns with measures
      • use basic statistical functions to enhance data
      • create semi-additive measures

      Optimize model performance

      • remove unnecessary rows and columns
      • identify poorly performing measures, relationships, and visuals
      • improve cardinality levels by changing data types
      • improve cardinality levels through summarization
      • create and manage aggregations
      Visualize the Data (20-25%)

      Create reports

      • add visualization items to reports
      • choose an appropriate visualization type
      • format and configure visualizations
      • import a custom visual
      • configure conditionalformatting
      • apply slicing and filtering
      • add an R or Python visual
      • configure the report page
      • design and configure for accessibility
      • configure automatic page refresh

      Create dashboards

      • set mobile view
      • manage tiles on a dashboard
      • configure data alerts
      • use theQ&A feature
      • add a dashboard theme
      • pin a live report page to a dashboard
      • configure data classification

      Enrich reports for usability

      • configure bookmarks
      • create custom tooltips
      • edit and configure interactions between visuals
      • configure navigation for a report
      • apply sorting
      • configure Sync Slicers
      • use the selection pane
      • use drillthrough and cross filter
      • drilldown into data using interactive visuals
      • export report data
      • design reports for mobile devices
      Analyze the Data (10-15%)

      Enhance reports to expose insights

      • apply conditional formatting
      • apply slicers and filters
      • perform top N analysis
      • explore statistical summary
      • use the Q&A visual
      • add a Quick Insights result to a report
      • create reference lines by using Analytics pane
      • use the Play Axis feature of a visualization

      Perform advanced analysis

      • identify outliers
      • conduct Time Series analysis
      • use groupings and binnings
      • use the Key Influencers to explore dimensional variances
      • use the decomposition tree visual to break down a measure
      • apply AI Insights
      Deploy and Maintain Deliverables (10-15%)

      Manage datasets

      • configure a dataset scheduled refresh
      • configure row-level security group membership
      • providing access to datasets
      • configure incremental refresh settings
      • endorse a dataset
      • promote or certify a dataset

      Create and manage workspaces

      • create and configure a workspace
      • recommend a development lifecycle strategy
      • assign workspace roles
      • configure and update a workspace app
      • publish, import, or update assets in a workspace
      • apply sensitivity labels to workspace content
      Course(s):
      DA-100: Analyzing Data with Power BI – Official Microsoft Course
      Certification(s):
      Microsoft Certified: Data Analyst Associate
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