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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q326-Q331):

NEW QUESTION # 326
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:

Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-quick-measures


NEW QUESTION # 327
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You need to add a measure to rank total sales by product. The results must appear as shown in the following table.

Which DAX formula should you use?

Answer: A


NEW QUESTION # 328
HOTSPOT
You are enhancing a Power BI model that has DAX calculations.
You need to create a measure that returns the year-to-date total sales from the same date of the previous calendar year.
Which DAX functions should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 329
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
From Power Query Editor, you profile the data shown in the following exhibit.

The IOT ID columns are unique to each row in query.
You need to analyze 10T events by the hour and day of the year. The solution must improve semantic model performance.
Solution: You change the IOT DateTime column to the Date data type.
Does this meet the goal?

Answer: A

Explanation:
Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. The supported answer is B (No). The proposal - You change the IOT DateTime column to the Date data type - leaves the requirement unmet. The deciding requirement in this question is to evaluate whether this proposal meets the goal: You change the IOT DateTime column to the Date data type. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. This rationale is anchored to the PL-300 objective " Select appropriate column data types " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/data-profiling-tools | PL-300 objective: " Select appropriate column data types " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300


NEW QUESTION # 330
You need to create a visualization to meet the reporting requirements of the sales managers.
How should you create the visualization? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Scenario: The sales managers require a visual to analyze sales performance versus sales targets.
Box 1: KPI
A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a meas urable goal.
Box 2: Sales[sales_amount]
Box 3: Date[month]
Time > FiscalMonth. This value will represent the trend.
Box 4: Targets[sales_target]
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi


NEW QUESTION # 331
......

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