PL-300 Latest Dumps Sheet | Certification PL-300 Exam

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q93-Q98):

NEW QUESTION # 93
You view a query named Transactions as shown in the following exhibit.

The query gets CSV files from a folder.
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.

Answer:

Explanation:

Explanation:

Box 1: 9
9 distinct CSV files.
Box 2: 10
10 distinct dates.
https://pediaa.com/what-is-the-difference-between-unique-and-distinct-in-sql/#:~:text=Unique%20and%20Distin


NEW QUESTION # 94
You have a Power Bl report named Orders that supports the following analysis:
* Total sales over time
* The count of orders over time
* New and repeat customer counts
The data model size is nearing the limit for a dataset in shared capacity. The model view for the dataset is shown in the following exhibit.

Answer:

Explanation:


NEW QUESTION # 95
You are using Power Query Editor to preview the data in a column named Max Temp. The column statistics and value distribution are 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.

Answer:

Explanation:

Explanation:


NEW QUESTION # 96
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 # 97
You have a Power Bl model that contains two tables named Population and Date.
The Population table contains two columns named Population Amount and Date Key.
DateKey contains date values that represent the first day of a year and are used to create a many-to The Power Bl model contains two measures that have the following definitions.
Total Population = Sum ('Population'[Population Amount])
2023 Population = CALCULATE ([Total Population]"Date'[Year] = 2023)
You create a table visual that displays Date[Year] and [2023 Population].
What will the table visual show?

Answer: C


NEW QUESTION # 98
......

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