Microsoft PL-300 Exam Review - PL-300 New Dumps Book

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q447-Q452):

NEW QUESTION # 447
You have the Power BI data model shown in the following exhibit.

You need to create a measure to count the number of product categories that had products sold during a selected period. 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:

The technical decision turns on how to create a measure to count the number of product categories that had products sold during a selected period. The selections in the retained answer exhibit are the verified configuration. Measures are evaluated in the current filter context, whereas calculated columns are stored at refresh. The selected DAX must therefore return the requested result at the correct grain without materializing unnecessary model data. An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. The current PL-300 study guide places this under the objective " Create single aggregation measures " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300


NEW QUESTION # 448
You have a power BI tenant that hosts the datasets shown in the following table.

You have the following requirements:
* The export of reports that contain Personally Identifiable Information (Pll) must be prevented.
* Data used for financial decisions must be reviewed and approved before use.
For each of the following statements, select Yes if the statement is true. Otherwise select No. NOTE: Each correct selection is worth one point

Answer:

Explanation:


NEW QUESTION # 449
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 usually 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 statements, 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 # 450
You have a Power BI report that contains a visual. The visual contains a measure.
You need to ensure that the report meets the following requirements:
- All values must be set to two decimal places.
- All negative values must be displayed in red font and parentheses.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,B


NEW QUESTION # 451
What is the minimum number of semantic models and storage modes required to support the reports?

Answer: C

Explanation:
The deciding requirement in this question is to determine the minimum number of semantic models and storage modes needed for the reports. Storage mode is a model design choice. An Import table cannot be switched back to DirectQuery in place; it must be reconnected or re-added using DirectQuery when the source and model support that mode. The supported selection is D (a single imported semantic model). Storage mode cannot always be toggled in place; reconnecting the table in the required mode is different from changing a display or refresh setting. Microsoft lists this skill in the current PL-300 outline as " Choose between DirectLake, DirectQuery, and Import " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-storage- mode | PL-300 objective: " Choose between DirectLake, DirectQuery, and Import " | Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300


NEW QUESTION # 452
......

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