Exam PL-300: Microsoft Power BI Data Analyst Latest Questions and Answers Set 2

Поділитися
Вставка
  • Опубліковано 22 вер 2024
  • Candidates for this exam deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics, and deploy and configure solutions for consumption.
    The Power BI data analyst works closely with business stakeholders to identify business requirements. They collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI.
    Candidates for this exam should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). These professionals know how to assess data quality. Plus, they understand data security, including row-level security and data sensitivity.
    Prepare the data (25-30%)
    Model the data (25-30%)
    Visualize and analyze the data (25-30%)
    Deploy and maintain assets (15-20%)
    Prepare the data (25-30%)
    Get data from data sources
    Identify and connect to a data source
    Change data source settings, including credentials, privacy levels, and data source locations
    Select a shared dataset, or create a local dataset
    Choose between DirectQuery, Import, and Dual mode
    Change the value in a parameter
    Clean the data
    Evaluate data, including data statistics and column properties
    Resolve inconsistencies, unexpected or null values, and data quality issues
    Resolve data import errors
    Transform and load the data
    Select appropriate column data types
    Create and transform columns
    Transform a query
    Design a star schema that contains facts and dimensions
    Identify when to use reference or duplicate queries and the resulting impact
    Merge and append queries
    Identify and create appropriate keys for relationships
    Configure data loading for queries
    Model the data (25-30%)
    Design and implement a data model
    Configure table and column properties
    Implement role-playing dimensions
    Define a relationship's cardinality and cross-filter direction
    Create a common date table
    Implement row-level security roles
    Create model calculations by using DAX
    Create single aggregation measures
    Use CALCULATE to manipulate filters
    Implement time intelligence measures
    Identify implicit measures and replace with explicit measures
    Use basic statistical functions
    Create semi-additive measures
    Create a measure by using quick measures
    Create calculated tables
    Optimize model performance
    Improve performance by identifying and removing unnecessary rows and columns
    Identify poorly performing measures, relationships, and visuals by using Performance Analyzer
    Improve performance by choosing optimal data types
    Improve performance by summarizing data
    Visualize and analyze the data (25-30%)
    Create reports
    Identify and implement appropriate visualizations
    Format and configure visualizations
    Use a custom visual
    Apply and customize a theme
    Configure conditional formatting
    Apply slicing and filtering
    Configure the report page
    Use the Analyze in Excel feature
    Choose when to use a paginated report
    Enhance reports for usability and storytelling
    Configure bookmarks
    Create custom tooltips
    Edit and configure interactions between visuals
    Configure navigation for a report
    Apply sorting
    Configure sync slicers
    Group and layer visuals by using the Selection pane
    Drill down into data using interactive visuals
    Configure export of report content, and perform an export
    Design reports for mobile devices
    Incorporate the Q&A feature in a report
    Identify patterns and trends
    Use the Analyze feature in Power BI
    Use grouping, binning, and clustering
    Use AI visuals
    Use reference lines, error bars, and forecasting
    Detect outliers and anomalies
    Create and share scorecards and metrics
    Deploy and maintain assets (15-20%)
    Create and manage workspaces and assets
    Create and configure a workspace
    Assign workspace roles
    Configure and update a workspace app
    Publish, import, or update assets in a workspace
    Create dashboards
    Choose a distribution method
    Apply sensitivity labels to workspace content
    Configure subscriptions and data alerts
    Promote or certify Power BI content
    Manage global options for files
    Manage datasets
    Identify when a gateway is required
    Configure a dataset scheduled refresh
    Configure row-level security group membership
    Provide access to datasets
    #shortsvideo #pl300

КОМЕНТАРІ •