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The learning material is available in three different easy-to-use forms. The first one is a PDF form. The students can save the PL-300 questions by taking out their prints or can access them on their smartphones, tablets, and laptops. The PDF form can be used anywhere anytime and is essential for applicants who like to learn from their smart devices. The second form is Microsoft Power BI Data Analyst (PL-300) web-based practice test which can be taken from browsers.
| Section | Weight | Objectives |
|---|
| Topic 1: Visualize the Data | 25-30% | - Build visuals
- 1. Apply sorting and filtering to visuals
- 2. Configure visual interactions and cross-filtering
- 3. Format and configure pages and report backgrounds
- 4. Configure data colors and shapes
- 5. Determine the appropriate visual type
- 6. Apply AI insights and enhanced analytics
- Enhance reports for user experience
- 1. Design for mobile and specific layouts
- 2. Apply artistic formatting to visuals
- 3. Add tooltips and navigation
- 4. Add accessibility features and compliance
- Enrich reports with advanced visuals
- 1. Integrate Microsoft Copilot for Power BI
- 2. Use dynamic page navigation
- 3. Create custom visuals
- 4. Configure R and Python visuals
|
| Topic 2: Prepare the Data | 10-15% | - Get data from various data sources
- 1. Change data source settings
- 2. Use Microsoft Fabric and OneLake
- 3. Choose between DirectQuery, Import, and Dual storage modes
- 4. Configure dataset refresh
- 5. Identify and connect to a data source
- 6. Select a shared dataset or create a local copy
- Clean, transform, and load the data
- 1. Resolve data quality issues
- 2. Profile the data
- 3. Design and build intermediate tables
- 4. Configure data loading and queries
- 5. Determine proper data types
- 6. Identify the data structure
- 7. Apply user-friendly naming conventions to columns and tables
|
| Topic 3: Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
- 1. Publish and update a Power BI app
- 2. Configure workspace membership and roles
- 3. Endorse sensitive content with sensitivity labels
- 4. Configure content certification
- Manage datasets
- 1. Resolve dataset permission issues
- 2. Manage gateways and data sources
- 3. Configure dataset metadata and properties
- 4. Manage dataset refresh scheduling
|
| Topic 4: Model the Data | 25-30% | - Create measures and DAX calculations
- 1. Use Time Intelligence functions
- 2. Create calculated measures
- 3. Write and use basic DAX syntax
- 4. Implement context transition
- 5. Use CALCULATE and FILTER functions
- 6. Create semi-additive measures
- Design a data model
- 1. Apply field metadata and groupings
- 2. Resolve performance issues with relationships
- 3. Design a star schema or snowflake schema
- 4. Implement row-level security
- 5. Determine the appropriate granularity
- 6. Define tables and table schemas
- Develop the data model
- 1. Use the calculation group feature
- 2. Configure table relationships
- 3. Build hierarchies and hierarchical fields
- 4. Create common date tables
- 5. Implement row-level security roles
- 6. Create calculated tables and columns
- Optimize model performance
- 1. Optimize Dax queries
- 2. Validate performance and resolve issues
- 3. Improve user experience by hiding objects
- 4. Optimize DirectQuery models
- 5. Configure aggregations
|
| Topic 5: Analyze the Data | 10-15% | - Perform analysis in Power BI
- 1. Configure auto-insights
- 2. Apply Quick Insights
- 3. Use the Q&A visual
- 4. Identify patterns and trends
- 5. Generate Pinn visual insights
- Work with metrics in Power BI
- 1. Use the Decomposition Tree visual
- 2. Define and monitor KPIs
- 3. Create metrics using Microsoft measurements
- 4. Track goals with scorecards
|
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Microsoft Power BI Data Analyst Sample Questions (Q299-Q304):
NEW QUESTION # 299
You need to create the On-Time Shipping report. The report must include a visualization that shows the percentage of late orders.
Which type of visualization should you create?
- A. pie chart
- B. scatterplot
- C. bar chart
Answer: C
Explanation:
Scenario: The On-Time Shipping report will show the following metrics for a selected shipping month or quarter:
The percentage of orders that were shipped late by country and shipping region Customers that had multiple late shipments during the last quarter Note: Bar and column charts are some of the most widely used visualization charts in Power BI. They can be used for one or multiple categories. Both these chart types represent data with rectangular bars, where the size of the bar is proportional to the magnitude of data values.
The difference between the two is that if the rectangles are stacked horizontally, it is called a bar chart. If the rectangles are vertically aligned, it is called a column chart.
Reference:
https://www.pluralsight.com/guides/bar-and-column-charts-in-power-bi
NEW QUESTION # 300
You plan to create the Power BI model shown in the exhibit.
The data has the following refresh requirements:
; Customer must be refreshed daily.
; Date must be refreshed once every three years.
; Sales must be refreshed in near real time.
; SalesAggregate must be refreshed once per week.
You need to select the storage modes for the tables. The solution must meet the following requirements:

Answer:
Explanation:

Explanation:

The completed mapping shown in the answer area is correct. The required outcome is to select the storage modes for the tables. The solution must meet the following requirements. 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. This directly matches the current study- guide objective " Choose between DirectLake, DirectQuery, and Import " . 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 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 # 301
You plan to create the chart shown in the following exhibit.

How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown?
- A. Add a measure to the visual that uses the following DAX expression.Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)
- B. Add a new percentile line that uses Total Sales as the measure and 40% as the percentile.
- C. Add a measure to the visual that uses the following DAX expression.
Measure - PERCENTUEX.EXC (Sales,Sales[Total Sales],.40) - D. Create a horizontal line that has a fixed value of 24,000.
Answer: B
Explanation:
The analytics feature enables you to show percentiles across groups specified along a specific axis.
Example:
1. Click on the analytics tab
2. Select Percentile
3. You can choose a specific percentile along with other formatting options.
4. Drag a date or non-numeric dimension into the Axis of a column chart


Add percentile lines to monitor daily revenue

NEW QUESTION # 302
You have the tables shown in the following table.

The Impressions table contains approximately 30 million records per month.
You need to create an ad analytics system to meet the following requirements:
Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required.
Minimize the data model size.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Create a calculated table that contains Ad_id, Site_name, and Impression_date.
- B. Create one-to-many relationships between the tables.
- C. Group the impressions by Ad_id, Site_name, and Impression_date.
Aggregate by using the CountRows function. - D. Create a calculated measure that aggregates by using the COUNTROWS function.
Answer: B,D
NEW QUESTION # 303
You have a Power B1 model that contains a table named Date. The table has the following columns.

Answer:
Explanation:
See the explanation for the answer
Explanation:
Answer is below.

NEW QUESTION # 304
......
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