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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q426-Q431):

NEW QUESTION # 426
You have the visual shown in the exhibit. (Click the Exhibit tab.)

You need to show the relationship between Total Cost and Total Sales over time.
What should you do?

Answer: C

Explanation:
Explanation
You can set up a date field in play axis, and then scatter chart will animate how measure values are compared to each other in each point of a time.
Reference:
https://radacad.com/storytelling-with-power-bi-scatter-chart


NEW QUESTION # 427
Hotspot Question
You have a Power BI semantic model that contains three tables named Products, OrderHistory, and Date.
The Products table is a dimension table that contains the following columns:
- ProductID
- ProductName
The OrderHistory table is a fact table that contains the following columns:
- OrderID
- ProductID
- OrderDate
The Date table is a dimension table that contains the following columns:
- Year
- Date
- Week
- Month
You need to define a relationship from Products to OrderHistory and from OrderHistory to Date.
Which cardinality should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:


NEW QUESTION # 428
You have a Power BI report that contains one page. The page contains two line charts and one bar chart.
You need to ensure that users can perform the following tasks for all three visuals:
Switch the measures used in the visuals.
Change the visualization type.
Add a legend.
The solution must minimize development effort.
What should you do?

Answer: B


NEW QUESTION # 429
You have two CSV files named Products and Categories.
The Products file contains the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
The Categories file contains the following columns:
* CategoryID
* CategoryName
* CategoryDescription
From Power BI Desktop, you import the files into Power Query Editor.
You need to create a Power BI dataset that will contain a single table named Product. The Product will table includes the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
* CategoryName
* CategoryDescription
How should you combine the queries, and what should you do on the Categories query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Answer as selected


NEW QUESTION # 430
You plan to create the chart shown in the following exhibit.

How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown?

Answer: D

Explanation:
The analytics feature enables you to show percentiles across groups specified along a specific axis.
Example:
1. Click on the analytics tab
2. Select Percentile
3. You can choose a specific percentile along with other formatting options.
4. Drag a date or non-numeric dimension into the Axis of a column chart


Add percentile lines to monitor daily revenue


NEW QUESTION # 431
......

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