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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q220-Q225):

NEW QUESTION # 220
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usuall y bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
For each of the following state ments, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Reference:
https://finance-bi.com/power-bi-basket-analysis/


NEW QUESTION # 221
Your company has affiliates who help the company acquire customers.
You build a report for the affiliate managers at the company to assist them in understanding affiliate performance.
The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. You have a data model that contains the following tables.

You need to develop a measure to support the visual.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: CALCULATE
Start with CALCULATE and use a SUMX.
CALCULATE evaluates an expression in a modified filter context.
Box 2: SUM
Box 3: TOPN
TOPN returns the top N rows of the specified table.
Box 4: [TransactionDate]
TOPN Syntax: TOPN(<n_value>, <table>, <orderBy_expression>, [<order>[, <orderBy_expression>,
[<order>]]...])
The orderBy_expression: Any DAX expression where the result value is used to sort the table and it is evaluated for each row of table.
Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax


NEW QUESTION # 222
Vou plan to create a Power B1 report that will be connected to multiple data sources. One of the data sources contains law records. You need to ensure that other queries cannot access the tax record Information. To what should you set Privacy Level for the data source?

Answer: C


NEW QUESTION # 223
You have a Power Bl semantic model that contains the data sources shown in the following table.

You need to configure the privacy levels of the data sources.
What should you configure (01 each data source? To answer, select (he appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 224
You have a report that includes a card visualization.
You need to apply the following conditional formatting to the card while minimizing design effort.
For values that are greater than or equal to 100, the font of the data label must be dark red.
For values that are less than 100, the font of the data label must be dark gray.
Which type of format should you use?

Answer: C


NEW QUESTION # 225
......

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