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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q360-Q365):

NEW QUESTION # 360
You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.

You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Select Use Header as First Row.
2 - Step 1: Select Use Header as First Row.
Reference:
https://support.microsoft.com/en-us/office/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098


NEW QUESTION # 361
You have a Power B1 semantic model that contains two tables named Dim Location and Fact Deliveries. The relationships between the tables are configured as shown in the following table.

The model contains one measure that has the following formula.
Deliveries = COUNTROWS('fact Deliveries')

Answer:

Explanation:

Explanation:


NEW QUESTION # 362
You are using existing reports to build a dashboard that will be viewed frequently in portrait mode on mobile phones.
You need to build the dashboard.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Pin items from report to Dashboard.
2 - Open Dashboard.
3 - Change the dashboard view to Phone view.
4 - Rearrange, resize the visuals.


NEW QUESTION # 363
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.
You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.
During the development process, you need to import a sample of the data from the Order table.
Solution: You add a report-level filter that filters based on the order date.
Does this meet the goal?

Answer: B

Explanation:
The technical decision turns on how to evaluate whether this proposal meets the goal: You add a report-level filter that filters based on the order date. The correct response is B (No): the proposed action - You add a report-level filter that filters based on the order date - does not meet that requirement. Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The current PL-300 study guide places this under the objective " Define a relationship ' s cardinality and cross-filter direction " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300


NEW QUESTION # 364
You have a semantic model that contains two tables named Sales and Date. The Sales table relates to the Date table by using a many-to-one relationship. The Sales table contains the following columns:
; Date
; Product
; SalesAmount
You need to create a DAX measure for a rolling 31 -day sales total that will return the total sales amount for a selected date and the previous 30 days.
Which DAX expression should you use?

Answer: C

Explanation:
The correct answer is A (CALCULATE(SUM(Sales[SalesAmount]), DATESBETWEEN( ' Date ' [Date], MAX( ' Date ' [Date]) - 30, MAX( ' Date ' [Date])))). The required outcome is to calculate the selected date plus the preceding 30 days, for a rolling window of 31 days. DATESBETWEEN receives an inclusive start and end date. Subtracting 30 from the maximum selected date therefore covers that date and the 30 preceding dates, yielding exactly 31 calendar days in the filter window. This directly matches the current study-guide objective " Implement time intelligence measures " . 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.
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Implement time intelligence measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300


NEW QUESTION # 365
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