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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prepare the data	25-30%	- Profile and clean data 1. Evaluate data statistics and column properties 2. Manage data types, columns, and rows 3. Resolve inconsistencies, null values, and errors 4. Transform data using Power Query Editor - Get or connect to data 1. Configure data source settings, credentials, and privacy levels 2. Create and modify parameters 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Identify and connect to data sources or shared semantic models - Load and configure data 1. Define table structures and properties 2. Configure data refresh settings 3. Integrate data from multiple sources
Topic 2: Manage and secure Power BI	15-20%	- Deploy and distribute content 1. Share reports, dashboards, and apps 2. Monitor usage and performance 3. Embed content in applications or websites - Manage workspaces and assets 1. Publish, update, and organize reports/datasets 2. Manage data refresh and scheduled updates 3. Create and configure workspaces - Implement security and governance 1. Manage permissions and access 2. Apply data sensitivity labels and protection 3. Configure row-level security (RLS) and object-level security
Topic 3: Visualize and analyze data	25-30%	- Create reports and dashboards 1. Choose appropriate visualizations 2. Apply filters, slicers, and drill-through 3. Create dashboards and pinned elements 4. Design report layout, formatting, and interactivity - Enhance reports with analytics 1. Use AI visuals, forecasts, and key influencers 2. Apply conditional formatting and custom visuals 3. Create paginated reports - Perform data analysis 1. Create and manage bookmarks and tooltips 2. Interpret results and identify trends 3. Implement custom visuals and R/Python scripts
Topic 4: Model the data	25-30%	- Create model calculations 1. Implement aggregation and time intelligence 2. Use CALCULATE and filter context 3. Use DAX: calculated columns, calculated tables, measures - Design data models 1. Define tables, columns, and hierarchies 2. Create common date tables 3. Implement role-playing dimensions 4. Create relationships: cardinality, cross-filter direction, security - Optimize model performance 1. Reduce cardinality and data size 2. Optimize relationships and calculations 3. Use aggregations and composite models

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Microsoft Power BI Data Analyst Sample Questions (Q300-Q305):

NEW QUESTION # 300
You are modifying a Power Bi model by using Power Bl Desktop.
You have a table named Sales that contains the following fields.

You have a table named Transaction Size that contains the following data.

You need to create a calculated column to classify each transaction as small, medium, or large based on the value in Sales Amount.
How should you complete the code? 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 drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
FILTER | AND | CALCULATE

NEW QUESTION # 301
HOTSPOT
Your company has affiliates who help the company acquire customers.
You build a report for the affiliate managers at the company to assist them in understanding affiliate performance.
The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. You have a data model that contains the following tables.

You need to develop a measure to support the visual.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 302
You are creating a Power Bi model and report.
You have a single table in a data mode) named Product Product contains the following fields:
* ID
* Name
* Color
* Category
* Total Sales
You need to create a calculated table that shows only the top eight products based on the highest value in Total Sales.
How should you complete the DAX expression? To answer, drag the appropriate values to the coned targets.
Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:

Explanation:

Explanation:

NEW QUESTION # 303
You plan to use Power BI Desktop to create a bug tracking dashboard that will pull data from Analytics in Azure DevOps.
From Power BI Desktop, you need to configure a data connector to authenticate to Azure DevOps. The solution must meet the following requirements:
- Use Analytics views.
- Filter data from the cloud.
Which connector should you use?

A. Azure DevOps Server (Boards only)
B. OData queries Most Voted
C. OData Feed
D. Azure DevOps (Boards only) Most Voted

Answer: D

Explanation:
Select Get Data > Online Services, Azure DevOps (Boards only) for cloud services or select Azure DevOps Server (Boards only) for on-premises. Then select Connect. Analytics views only support queries against work items and test cases.
https://learn.microsoft.com/en-us/azure/devops/report/powerbi/data-connector- connect?view=azure-devops

NEW QUESTION # 304
You publish a dataset that contains data from an on-premises Microsoft SQL Server database.
The dataset must be refreshed daily.
You need to ensure that the Power BI service can connect to the database and refresh the dataset.
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

Answer:

Explanation:

NEW QUESTION # 305
......

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