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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q307-Q312):

NEW QUESTION # 307
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 add another table named Territory to the model. A sample of the data is shown in the following table.

You need to create a relationship between the Territory table and the Sales table.
Which function should you use in the query for Territory before you create the relationship?

A. Table.ReplaceMatchingRows
B. Table.Distinct
C. Table.InDistinct
D. Table.RemoveMatchingRows

Answer: B

Explanation:
References: https://msdn.microsoft.com/en-us/library/mt260775.aspx

NEW QUESTION # 308
You have the dashboard shown in the following exhibit.

You need to modify the dashboard to display as shown in the following exhibit.

What should you do?

A. Create and apply a custom dashboard theme.
B. Apply the Dark dashboard theme.
C. Change the colors of the visuals in the report.
D. Upload a snapshot image of the dashboard.

Answer: A

NEW QUESTION # 309
You need to create a visual that enables the adhoc exploration of data as shown in the following exhibit.

Which type of visual should you use?

A. smart narrative
B. decomposition tree
C. Q&A
D. key influencers

Answer: B

NEW QUESTION # 310
You need to create a relationship in the dataset for RLS.
What should you do? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
See the answer as below in explanation.
Explanation
Answer as below

NEW QUESTION # 311
You are profiling data by using Power Query Editor.
You have a table named Reports that contains a column named State. The distribution and quality data metrics for the data m State is 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:

NEW QUESTION # 312
......

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