Microsoft Power BI Data Analyst (PL-300) Practice Exam

Microsoft Power BI Data Analyst (PL-300) Practice Exam

About Microsoft Power BI Data Analyst (PL-300) Exam

The Microsoft Power BI Data Analyst (PL-300)  exam has been developed to assess your ability to perform technical tasks including -

• Preparing the data
• Modeling the data
• Visualizing and analyze the data
• Deploying and maintaining assets.
  

Candidates for the Microsoft Power BI Data Analyst (PL-300) 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.

Knowledge and Skills Required 

Candidates for the Microsoft Power BI Data Analyst (PL-300) are required to -

• Deliver actionable insights by working with available data and applying domain expertise
• Provide meaningful business value through easy-to-comprehend data visualizations
• Enable others to perform self-service analytics
• Deploy and configure solutions for consumption

Roles and Responsibilities

The Power BI data analyst  perform the following roles  -

• Works closely with business stakeholders to identify business requirements
• Collaborate with enterprise data analysts and data engineers to identify and acquire data
• Transform the data, create data models, visualize data, and share assets by using Power BI.

Course Outline

The Microsoft Power BI Data Analyst (PL-300) Exam covers the following topics as per exam updates -

Domain 1 - Prepare the data (25–30%)

1.1 Get or connect to data

• Identify and connect to data sources or a shared semantic model
• Change data source settings, including credentials and privacy levels
• Choose between DirectLake, DirectQuery, and Import
• Create and modify parameters

1.2 Profile and 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

1.3 Transform and load the data

• Select appropriate column data types
• Create and transform columns
• Group and aggregate rows
• Pivot, unpivot, and transpose data
• Convert semi-structured data to a table
• Create fact tables and dimension tables
• 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

Domain 2 - Model the data (25–30%)

2.1 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
• Identify use cases for calculated columns and calculated tables

2.2 Create model calculations by using DAX

• Create single aggregation measures
• Use the CALCULATE function
• Implement time intelligence measures
• Use basic statistical functions
• Create semi-additive measures
• Create a measure by using quick measures
• Create calculated tables or columns
• Create calculation groups

2.3 Optimize model performance

• Improve performance by identifying and removing unnecessary rows and columns
• Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view
• Improve performance by reducing granularity

Domain 3 - Visualize and analyze the data (25–30%)

3.1 Create reports

• Select an appropriate visual
• Format and configure visuals
• Create a narrative visual with Copilot
• Apply and customize a theme
• Apply conditional formatting
• Apply slicing and filtering
• Use Copilot to create a new report page
• Use Copilot to suggest content for a new report page
• Configure the report page
• Choose when to use a paginated report
• Create visual calculations by using DAX

3.2 Enhance reports for usability and storytelling

• Configure bookmarks
• Create custom tooltips
• Edit and configure interactions between visuals
• Configure navigation for a report
• Apply sorting to visuals
• Configure sync slicers
• Group and layer visuals by using the Selection pane
• Configure drillthrough navigation, including pages, filters, and buttons
• Configure export settings
• Design reports for mobile devices
• Enable personalization in a report, including personalized visuals
• Design and configure Power BI reports for accessibility
• Configure automatic page refresh

3.3 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
• Use Copilot to summarize the underlying semantic model

Domain 4 - Manage and secure Power BI (15–20%)

4.1 Create and manage workspaces and assets

• Create and configure a workspace
• Configure and update an app
• Publish, import, or update items in a workspace
• Create dashboards
• Choose a distribution method
• Configure subscriptions and data alerts
• Promote or certify Power BI content
• Identify when a gateway is required
• Configure a semantic model scheduled refresh

4.2 Secure and govern Power BI items

• Assign workspace roles
• Configure item-level access
• Configure access to semantic models
• Implement row-level security roles
• Configure row-level security group membership
• Apply sensitivity labels

What do we offer?

• Full-Length Mock Test with unique questions in each test set
• Practice objective questions with section-wise scores
• In-depth and exhaustive explanation for every question
• Reliable exam reports evaluating strengths and weaknesses
• Latest Questions with an updated version
• Tips & Tricks to crack the test
• Unlimited access

What are our Practice Exams?

• Practice exams have been designed by professionals and domain experts that simulate real-time exam scenario.
• Practice exam questions have been created on the basis of content outlined in the official documentation.
• Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
• Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
• You can also create your own practice exam based on your choice and preference 

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