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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q72-Q77):

NEW QUESTION # 72
You have a Power BI imported dataset that contains the data model 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
- cross filter direction
- star schema


NEW QUESTION # 73
The tables have the following relationships.

You have 100 salespeople in 10,000 cities. Each salesperson sells in multiple cities.
You import one million rows into the Sales table.
You need to reduce the size of Model1. The solution must ensure that you can analyze the total number of sales by salesperson per city.
Solution: You remove the Salesperson table.
Does this meet the goal?

Answer: A

Explanation:
The required outcome is to evaluate whether this proposal meets the goal: You remove the Salesperson table.
Select B (No). The proposed action - You remove the Salesperson table - does not satisfy the stated goal. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. 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 current skills outline describes this competency as " 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 # 74
You are creating a Power BI model in Power BI Desktop
You need to create a calculated table named Numbers that will contain all the integers from -100 to 100. How should you complete the DAX calculation? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

The completed mapping shown in the answer area is correct. The key constraint is to create a calculated table named Numbers that will contain all the integers from -100 to 100. 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. This directly matches the current study-guide objective " Create calculated tables or columns " . A measure would not create the persistent row-level field or table needed for sorting, categorization, relationships, or reuse in the model. It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create calculated tables or columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study- guides/pl-300


NEW QUESTION # 75
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 create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
Solution: You create a new query that references DataSourceExcel.
Does this meet the goal?

Answer: A

Explanation:
A query parameter centralizes a reusable value such as a server, database, path, or filter. Referencing it from each Source step removes duplicated hard-coded values and makes later changes controlled and consistent.
The key constraint is to evaluate whether this proposal meets the goal: You create a new query that references DataSourceExcel. Answer B (No). The proposal - You create a new query that references DataSourceExcel - does not deliver the required result. The relevant current PL-300 study-guide bullet is " Create and modify parameters " . Copying a path into every Source step leaves multiple values to maintain; a report parameter or custom visual does not replace the Power Query source expression.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/power-query-query-parameters | PL-300 objective: " Create and modify parameters " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300


NEW QUESTION # 76
You have a sales system that contains the tables shown in the following table.

The Date table is marked as a date table.
DatelD is the date data type. You need to create an annual sales growth percentage measure.
Which DAX expression should you use?

Answer: B

Explanation:
SAMEPERIODLASTYEAR returns a table that contains a column of dates shifted one year back in time from the dates in the specified dates column, in the current context.
Reference:
https://docs.microsoft.com/en-us/dax/sameperiodlastyear-function-dax


NEW QUESTION # 77
......

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