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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q89-Q94):

NEW QUESTION # 89
You need to create a visualization to meet the reporting requirements of the sales managers.
HOW Should create the Visualization? TO answer, select the appropriate options in the answer are a.

Answer:

Explanation:
See the explanatio for answer
Explanation:
Answer is as below:


NEW QUESTION # 90
You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.

You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Select Use Header as First Row.
2 - Select Department and Product and Unpivot Other Columns
3 - Rename the Attribute column to Year and the Value column to Revenue.
Reference:
https://support.microsoft.com/en-us/office/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098


NEW QUESTION # 91
You have a Power BI report named Report ' and a dashboard named Dashboard ' . 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 the bar chart displays on Dashboard ' ,
What should you do?

Answer: A

Explanation:
The supported selection is D (Pin the Sales by month bar chart to Dashboard1). Dashboard configuration is performed in the Power BI service. The correct action must address the tile or dashboard itself, not merely reformat the underlying report visual. The technical decision turns on how to ensure that the bar chart displays on Dashboard ' . Editing only the source report does not necessarily update an existing dashboard tile ' s type, placement, theme, or phone layout. For exam alignment, this is assessed under " Create dashboards " in the current study guide. The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/service-dashboard-tiles
| PL-300 objective: " Create dashboards " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300


NEW QUESTION # 92
You have a Power BI model that contains a table named Sales. Sales has the following three measures:
A measure named Total Sales Last Year that displays the sales from the previous calendar year. The current value is 32.89 million.
A measure named Total Sales This Year that displays the sales from the current calendar year. The current value is 11.69 million.
A measure named Total Sales Difference that uses a DAX formula of Sales[Last Year] - Sales[This Year].
You need to create the following visualization.

How should you configure the visualization? To answer, drag the appropriate measures to the correct fields. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-radial-gauge-charts


NEW QUESTION # 93
You have the Power BI data model shown in the following exhibit.

Answer:

Explanation:


NEW QUESTION # 94
......

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