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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Prepare the Data	10-15%	- Get data from various data sources 1. Identify and connect to a data source 2. Configure dataset refresh 3. Use Microsoft Fabric and OneLake 4. Change data source settings 5. Select a shared dataset or create a local copy 6. Choose between DirectQuery, Import, and Dual storage modes - Clean, transform, and load the data 1. Determine proper data types 2. Profile the data 3. Identify the data structure 4. Resolve data quality issues 5. Design and build intermediate tables 6. Configure data loading and queries 7. Apply user-friendly naming conventions to columns and tables
Model the Data	25-30%	- Create measures and DAX calculations 1. Use Time Intelligence functions 2. Implement context transition 3. Use CALCULATE and FILTER functions 4. Create calculated measures 5. Write and use basic DAX syntax 6. Create semi-additive measures - Optimize model performance 1. Improve user experience by hiding objects 2. Validate performance and resolve issues 3. Optimize DirectQuery models 4. Optimize Dax queries 5. Configure aggregations - Develop the data model 1. Create calculated tables and columns 2. Build hierarchies and hierarchical fields 3. Configure table relationships 4. Use the calculation group feature 5. Create common date tables 6. Implement row-level security roles - Design a data model 1. Define tables and table schemas 2. Design a star schema or snowflake schema 3. Apply field metadata and groupings 4. Determine the appropriate granularity 5. Resolve performance issues with relationships 6. Implement row-level security
Analyze the Data	10-15%	- Work with metrics in Power BI 1. Create metrics using Microsoft measurements 2. Track goals with scorecards 3. Use the Decomposition Tree visual 4. Define and monitor KPIs - Perform analysis in Power BI 1. Generate Pinn visual insights 2. Use the Q&A visual 3. Configure auto-insights 4. Identify patterns and trends 5. Apply Quick Insights
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. Configure content certification 4. Endorse sensitive content with sensitivity labels - Manage datasets 1. Configure dataset metadata and properties 2. Manage gateways and data sources 3. Manage dataset refresh scheduling 4. Resolve dataset permission issues
Visualize the Data	25-30%	- Enhance reports for user experience 1. Apply artistic formatting to visuals 2. Design for mobile and specific layouts 3. Add tooltips and navigation 4. Add accessibility features and compliance - Build visuals 1. Configure data colors and shapes 2. Apply AI insights and enhanced analytics 3. Apply sorting and filtering to visuals 4. Configure visual interactions and cross-filtering 5. Determine the appropriate visual type 6. Format and configure pages and report backgrounds - Enrich reports with advanced visuals 1. Configure R and Python visuals 2. Use dynamic page navigation 3. Integrate Microsoft Copilot for Power BI 4. Create custom visuals

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Microsoft Power BI Data Analyst Sample Questions (Q15-Q20):

NEW QUESTION # 15
You have two Power Bl workspaces named WorkspaceA and Workspaces. WorkspaceA contains two datasets named Sales and HR.
You need to provide a user named User1 with access to the workspaces. The solution must meet the following requirements:
* Create reports that use the HR dataset.
* Publish the reports to WorkspaceB.
* Prevent the ability to modify the HR dataset.
* Prevent the ability to add users to WorkspaceB.

Answer:

Explanation:

NEW QUESTION # 16
Hotspot Question
You have two Azure SQL databases that contain the same tables and columns. For each database, you create a query that retrieves data from a table named Customers.
You need to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in powerbi.com.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Append Queries as New
When you have additional rows of data that you'd like to add to an existing query, you append the query.
There are two append options:
* Append queries as new displays the Append dialog box to create a new query by appending multiple tables.
* Append queries displays the Append dialog box to add additional tables to the current query.
Incorrect: When you have one or more columns that you'd like to add to another query, you merge the queries.
Box 2: Disable loading the query to the data model
By default, all queries from Query Editor will be loaded into the memory of Power BI Model. You can disable the load for some queries, especially queries that used as intermediate transformation to produce the final query for the model.
Disabling Load doesn't mean the query won't be refreshed, it only means the query won't be loaded into the memory. When you click on Refresh model in Power BI, or when a scheduled refresh happens even queries marked as Disable Load will be refreshed, but their data will be used as intermediate source for other queries instead of loading directly into the model. This is a very basic performance tuning tip, but very important when your Power BI model grows bigger and bigger.
Reference:
https://docs.microsoft.com/en-us/power-query/append-queries
https://radacad.com/performance-tip-for-power-bi-enable-load-sucks-memory-up

NEW QUESTION # 17
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. Group the impressions by Ad_id, Site_name, and Impression_date.
Aggregate by using the CountRows function.
B. Create a calculated measure that aggregates by using the COUNTROWS function.
C. Create a calculated table that contains Ad_id, Site_name, and Impression_date.
D. Create one-to-many relationships between the tables.

Answer: A,D

Explanation:
Explanation
Grouping in power query reduces the number of rows in the impression table that is gonna be loaded in the model. Creating relationships doesn't increase the size of the model.

NEW QUESTION # 18
You have data in a Microsoft Excel worksheet as shown in the following table.

You need to use Power Query to clean and transform the dataset. The solution must meet the following requirements:
* If the discount column returns an error, a discount of 0.05 must be used.
* All the rows of data must be maintained.
* Administrative effort must be minimized.
What should you do in Power Query Editor?

A. Select Remove Errors.
B. Edit the query in the Query Errors group.
C. Select Replace Errors
D. Select Keep Errors

Answer: C

NEW QUESTION # 19
You have the Power BI 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:

NEW QUESTION # 20
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