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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

Visualize and analyze the data (25-30%)
Deploy and maintain assets (20-25%)
Prepare the data (15-20%)
Model the data (30-35%)

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Analyze the Data	10-15%	- Work with metrics in Power BI 1. Create metrics using Microsoft measurements 2. Use the Decomposition Tree visual 3. Define and monitor KPIs 4. Track goals with scorecards - Perform analysis in Power BI 1. Configure auto-insights 2. Identify patterns and trends 3. Apply Quick Insights 4. Use the Q&A visual 5. Generate Pinn visual insights
Model the Data	25-30%	- Optimize model performance 1. Validate performance and resolve issues 2. Optimize Dax queries 3. Improve user experience by hiding objects 4. Configure aggregations 5. Optimize DirectQuery models - Develop the data model 1. Use the calculation group feature 2. Create calculated tables and columns 3. Implement row-level security roles 4. Configure table relationships 5. Create common date tables 6. Build hierarchies and hierarchical fields - Create measures and DAX calculations 1. Write and use basic DAX syntax 2. Create calculated measures 3. Use Time Intelligence functions 4. Use CALCULATE and FILTER functions 5. Create semi-additive measures 6. Implement context transition - Design a data model 1. Define tables and table schemas 2. Design a star schema or snowflake schema 3. Apply field metadata and groupings 4. Resolve performance issues with relationships 5. Determine the appropriate granularity 6. Implement row-level security
Prepare the Data	10-15%	- Get data from various data sources 1. Change data source settings 2. Use Microsoft Fabric and OneLake 3. Select a shared dataset or create a local copy 4. Configure dataset refresh 5. Identify and connect to a data source 6. Choose between DirectQuery, Import, and Dual storage modes - Clean, transform, and load the data 1. Configure data loading and queries 2. Determine proper data types 3. Profile the data 4. Design and build intermediate tables 5. Identify the data structure 6. Apply user-friendly naming conventions to columns and tables 7. Resolve data quality issues
Visualize the Data	25-30%	- Enhance reports for user experience 1. Design for mobile and specific layouts 2. Apply artistic formatting to visuals 3. Add tooltips and navigation 4. Add accessibility features and compliance - Build visuals 1. Determine the appropriate visual type 2. Configure visual interactions and cross-filtering 3. Configure data colors and shapes 4. Apply sorting and filtering to visuals 5. Format and configure pages and report backgrounds 6. Apply AI insights and enhanced analytics - Enrich reports with advanced visuals 1. Integrate Microsoft Copilot for Power BI 2. Create custom visuals 3. Use dynamic page navigation 4. Configure R and Python visuals
Manage and Maintain Workspace Items	10-15%	- Create and manage workspaces 1. Configure workspace membership and roles 2. Publish and update a Power BI app 3. Endorse sensitive content with sensitivity labels 4. Configure content certification - Manage datasets 1. Manage gateways and data sources 2. Manage dataset refresh scheduling 3. Resolve dataset permission issues 4. Configure dataset metadata and properties

Microsoft Power BI Data Analyst Sample Questions:

Question #1
You have the data lineage shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Question #2
You have a Power BI report named Report1 and a dashboard named Dashboard1, Report1 contains a line chart named Sales by month.
You pin the Sales by month visual to Dashboard1.
In Report1, you change the Sales by month visual to a bar chart.
You need to ensure that bar chart displays on Dashboard1.
What should you do?

A. Edit the details for the dashboard tile of Dashboard1.
B. Select Refresh visuals for Dashboard1.
C. Refresh the semantic model used by Report1 and Dashboard1.
D. the Sales by month bar chart to Dashboard1

Question #3
You attempt to connect Purer 81 Desktop to a Cassandra database.
From the Get Data connector list you discover that there is no specific connector for the Cassandra database, You need to select an alternate data connector that will connect to the database.
Which of connector should you choose?

A. Microsoft SQL Server database
B. OLE DB
C. ODBC
D. OData

Question #4
You are configuring a Microsoft Power BI data model to enable users to ask natural language questions by using Q & A. You have a table named Customer that has the following measure.
Customer Count = DISTINCTCOUNT(Customer[CustomerID])
Users frequently refer to customers as subscribers.
You need to ensure that the users can get a useful result for " subscriber count " by using Q & A. The solution must minimize the size of the model.
What should you do?

A. Add a description of " Subscriber " to the Customer table.
B. Set Summarize By to None for the CustomerID column.
C. Add a synonym of " subscriber " to the Customer table.
D. Add a description of " subscriber count " to the Customer Count measure.

Question #5
Which two types of visualizations can be used in the balance sheet reports to meet the reporting goals? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. a ribbon chart that shows balances by quarter and accounts in the legend.
B. a pie chart that shows balances by account category without filters.
C. a line chart that shows balances by quarter filtered to account categories that are long-term liabilities.
D. a clustered column chart that shows balances by date (x-axis) and account category (legend) withoutfilters.
E. a clustered column chart that shows balances by quarter filtered to account categories that are long-term liabilities.

Solutions:

Question #1
Correct Answer: Only visible for members

Question #2
Correct Answer: D

Question #3
Correct Answer: C

Question #4
Correct Answer: C

Question #5
Correct Answer: A,C

Microsoft Power BI Data Analyst : PL-300

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