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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q206-Q211):

NEW QUESTION # 206
You plan to use Power Query Editor to get data from an API.
The API returns a JSON response.
You have a username and password tor the AP I.
Which data source and authentication method should you use to connect to the API? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 207
You have the line chart shown in the exhibit. (Click the Exhibit tab.)

You need to modify the chart to meet the following requirements:
* Identify months that have order counts above the mean.
* Display the mean monthly order count.
Which three 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 order.

Answer:

Explanation:

Explanation:
1. Select the line chart
2. Add the average line
3. Turn on Data Label

NEW QUESTION # 208
You have a dashboard that contains tiles pinned from a single report as shown in the Original Dashboard exhibit. (Click the Original Dashboard tab.)

You need to modify the dashboard to appear as shown in the Modified Dashboard exhibit. (Click the Modified Dashboard tab.)

What should you do?

A. Change the dashboard theme.
B. Change the report theme.
C. Create a custom CSS file.
D. Edit the details of each tile.

Answer: A

Explanation:
https://docs.microsoft.com/en-us/power-bi/create-reports/service-dashboard-themes#how-dashboard-themes-work

NEW QUESTION # 209
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.
From Power Query Editor, you profile the data shown in the following exhibit.

The IOT ID columns are unique to each row in query.
You need to analyze 10T events by the hour and day of the year. The solution must improve dataset performance.
Solution: You create a custom column that concatenates the 10T GUID column and the IoT ID column and then delete the IoT GUID and IoT ID columns.
Does this meet the goal?

A. Yes
B. No

Answer: B

NEW QUESTION # 210
You create a data model in Power BI.
Report developers and users provide feedback that the data model is too complex.
The model contains the following tables.

The model has the following relationships:
*There is a one-to-one relationship between Sales_Region and Region_Manager.
*There are more records in Manager than in Reg ion_Manager, but every record in Region_Manager has a corresponding record in Manager.
*There are more records in Sales_Manager than in Sales_Region, but every record in Sales_Region has a corresponding record in Sales_Manager.
You need to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports.
Which three 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 order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:

Explanation:

Explanation:
1.Merge [Region_Manager ] and [Manager] by using an inner join.
3.Merge [Sales_Region] and [Sales_Manager] by using an inner join.
6.Merge [Sales_Region] and [Region_Manager] by using an inner join.

NEW QUESTION # 211
......

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