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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q354-Q359):

NEW QUESTION # 354
You have a Power BI Desktop project that has the model shown in the exhibit. (Click the Exhibit tab.)

Customer Count is a measure that uses the CountRows function to calculate the number of customers.
You create a table visualization that displays ProductID, Product, and Customer Count.
When you view the table, you discover that Customer Count always displays the total number of customers instead of the number of customers who purchased the product.
You need to ensure that the table visualization displays the number of customers who purchased each product.
What should you do?

A. Modify the Customer Count measure to use the COUNT function.
B. Modify the table relationship between the Products table and the Sales table to use a Cross filter direction of Both.
C. Modify the Customer Count measure to use the COUNTX function.
D. Modify the table relationship between the Customers table and the Sales table to use a Cross filter direction of Both.

Answer: D

Explanation:
https://radacad.com/what-is-the-direction-of-relationship-in-power-bi

NEW QUESTION # 355
You have a Power Bl report that contains a measure named Total Sales.
You need to create a new measure that will return the sum of Total Sates for a year up to a selected date. 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:
Answer as selected.

NEW QUESTION # 356
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://finance-bi.com/power-bi-basket-analysis/

NEW QUESTION # 357
You have a Power BI semantic model named Model1 that contains two table named DimDate and FactSales.
There is an active relationship between DimDate and FactSales. DimDate is marked as the date table.
FactSales contains the following data.

Model1 contains the following measure:

You have a report that uses Model1. The report has a single report page that has a page level filter set to may
9, 2024. The result of the Previous Year measure is displayed in a card visual.
Which value appear in the card visual?

A. 0
B. 1
C. 2
D. 3

Answer: A

NEW QUESTION # 358
In Power Query Editor, you have three queries named ProductCategory, ProductSubCategory, and Product.
Every Product has a ProductSubCategory.
Not every ProductsubCategory has a parent ProductCategory.
You need to merge the three queries into a single query. The solution must ensure the best performance in Power Query.
How should you merge the tables? To answer, drag the appropriate merge types to the correct queries. Each merge type 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:

NEW QUESTION # 359
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