Microsoft PL-300 Exam | Test PL-300 Guide - Help you Prepare PL-300: Microsoft Power BI Data Analyst Exam Easily

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q297-Q302):

NEW QUESTION # 297
You are using Power Bi Desktop to connect to an Azure SQL database The connection is configured as 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 solution is worth one point

Answer:

Explanation:

Explanation:

https://docs.microsoft.com/en-us/power-query/connectors/azuresqldatabase The following table lists all of the advanced options you can set in Power Query Desktop and Power Query Online.
Advanced option
Description
Command timeout in minutes
If your connection lasts longer than 10 minutes (the default timeout), you can enter another value in minutes to keep the connection open longer. This option is only available in Power Query Desktop.
SQL statement
For information, go to Import data from a database using native database query.
Include relationship columns
If checked, includes columns that might have relationships to other tables. If this box is cleared, you won't see those columns.
Navigate using full hierarchy
If checked, the navigator displays the complete hierarchy of tables in the database you're connecting to. If cleared, the navigator displays only the tables whose columns and rows contain data.
Enable SQL Server Failover support
If checked, when a node in the Azure SQL failover group isn't available, Power Query moves from that node to another when failover occurs. If cleared, no failover occurs.


NEW QUESTION # 298
You have a collection of reports for the HR department of your company.
You need to create a visualization for the HR department that shows historical employee counts and predicts trends during the next six months.
Which type of visualization should you use?

Answer: A


NEW QUESTION # 299
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:


NEW QUESTION # 300
You have a large semantic model that contains more than 1 million rows. The table has a datetime column named Date.
You need to reduce the size of the data model.
What should you do?

Answer: A

Explanation:
Choose D (Split the Date column into two columns, one that contains only the time and another that contains only the date). The required outcome is to reduce the size of the data model. A text month or an incomplete date column cannot supply a reliable chronological hierarchy or the contiguous dates expected by time- intelligence calculations. A dedicated, contiguous date table supports month, quarter, and year analysis consistently. Marking it as a date table tells Power BI which column represents the model ' s canonical dates.
In Microsoft ' s current exam outline, the corresponding objective is " Create a common date table " . 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/power-bi/transform-model/desktop-date-tables | PL-300 objective: " Create a common date table " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300


NEW QUESTION # 301
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 edit the Product Category table query to match the desired Power BI model.
How should you complete the advanced query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
You may need to frag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://msdn.microsoft.com/en-us/library/mt260776.aspx
https://msdn.microsoft.com/en-us/library/mt260808.aspx


NEW QUESTION # 302
......

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