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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Apply user-friendly naming conventions to columns and tables
  • 2. Profile the data
  • 3. Determine proper data types
  • 4. Design and build intermediate tables
  • 5. Identify the data structure
  • 6. Configure data loading and queries
  • 7. Resolve data quality issues
- Get data from various data sources
  • 1. Configure dataset refresh
  • 2. Select a shared dataset or create a local copy
  • 3. Use Microsoft Fabric and OneLake
  • 4. Change data source settings
  • 5. Identify and connect to a data source
  • 6. Choose between DirectQuery, Import, and Dual storage modes
Visualize the Data25-30%- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Design for mobile and specific layouts
  • 3. Add tooltips and navigation
  • 4. Add accessibility features and compliance
- Enrich reports with advanced visuals
  • 1. Use dynamic page navigation
  • 2. Create custom visuals
  • 3. Integrate Microsoft Copilot for Power BI
  • 4. Configure R and Python visuals
- Build visuals
  • 1. Configure data colors and shapes
  • 2. Format and configure pages and report backgrounds
  • 3. Determine the appropriate visual type
  • 4. Apply AI insights and enhanced analytics
  • 5. Configure visual interactions and cross-filtering
  • 6. Apply sorting and filtering to visuals
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Manage gateways and data sources
  • 2. Resolve dataset permission issues
  • 3. Configure dataset metadata and properties
  • 4. Manage dataset refresh scheduling
- Create and manage workspaces
  • 1. Endorse sensitive content with sensitivity labels
  • 2. Publish and update a Power BI app
  • 3. Configure content certification
  • 4. Configure workspace membership and roles
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Define and monitor KPIs
  • 3. Use the Decomposition Tree visual
  • 4. Create metrics using Microsoft measurements
- Perform analysis in Power BI
  • 1. Identify patterns and trends
  • 2. Use the Q&A visual
  • 3. Generate Pinn visual insights
  • 4. Apply Quick Insights
  • 5. Configure auto-insights
Model the Data25-30%- Create measures and DAX calculations
  • 1. Create calculated measures
  • 2. Use CALCULATE and FILTER functions
  • 3. Write and use basic DAX syntax
  • 4. Implement context transition
  • 5. Use Time Intelligence functions
  • 6. Create semi-additive measures
- Design a data model
  • 1. Apply field metadata and groupings
  • 2. Resolve performance issues with relationships
  • 3. Implement row-level security
  • 4. Define tables and table schemas
  • 5. Design a star schema or snowflake schema
  • 6. Determine the appropriate granularity
- Develop the data model
  • 1. Configure table relationships
  • 2. Create calculated tables and columns
  • 3. Create common date tables
  • 4. Implement row-level security roles
  • 5. Build hierarchies and hierarchical fields
  • 6. Use the calculation group feature
- Optimize model performance
  • 1. Optimize DirectQuery models
  • 2. Validate performance and resolve issues
  • 3. Optimize Dax queries
  • 4. Configure aggregations
  • 5. Improve user experience by hiding objects

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Microsoft Power BI Data Analyst Sample Questions (Q320-Q325):

NEW QUESTION # 320
You have a Power Bl report.
You have the following tables.

You have the following DAX measure.

Answer:

Explanation:


NEW QUESTION # 321
You have an API that returns more than 100 columns. The following is a sample of column names.
client_notified_timestamp
client_notified_source
client_notified_sourceid
client_notified_value
client_responded_timestamp
client_responded_source
client_responded_sourceid
client_responded_value
You plan to include only a subset of the returned columns.
You need to remove any columns that have a suffix of sourceid.
How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 322
You have a Power Bl report.
You have the following tables.

You have the following DAX measure.

Answer:

Explanation:
Explanation


NEW QUESTION # 323
You are creating a quick measure as shown in the following exhibit.

You need to create a monthly rolling average measure for Sales over time-How should you configure the quick measure calculation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Total Sales
We select the field Total Sales
Box 2: Date
Select a date field.
Box 3: Month
Monthly periods.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-quick-measures


NEW QUESTION # 324
You have a Microsoft Power Bl report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.
The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.
The report is a single page that contains 15 custom visuals and 10 default visuals.
Users say that the report is slow to load the visuals when they access and interact with the report You need to recommend a solution to improve the performance of the report.
What should you recommend?

Answer: A

Explanation:
Remove unused columns from tables in the data model. This will reduce the size of your PBIX file and make your data model more efficient. You can use Power Query Editor to remove any columns that are not used in your report or calculations.


NEW QUESTION # 325
......

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