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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q196-Q201):

NEW QUESTION # 196
You need to create the required relationship for the executive's visual .
What should you do before you can create the relationship?

A. In the Sales table, add a measure for sum(sales_amount).
B. Change the data type of sales[sales_id] to Text.
C. Change the data type of sales [region_id] to Decimal Number.
D. Change the data type of Sales[region_id] to Whole Number.

Answer: D

NEW QUESTION # 197
Hotspot Question
You have a power BI tenant that hosts the datasets shown in the following table.

You have the following requirements:
- The export of reports that contain Personally Identifiable
Information (Pll) must be prevented.
- Data used for financial decisions must be reviewed and approved
before use.
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:

Explanation:
https://docs.microsoft.com/en-us/power-bi/enterprise/service-security-sensitivity-label-overview

NEW QUESTION # 198
You have an API that returns more than 100 columns. The following is a sample of column names.
* client_notified_timestamp
* client_notified_source
* client_notified_sourceid
* client_notified_value
* client_responded_timestamp
* client_responded_source
* client_responded_sourceid
* client_responded_value
You plan to include only a subset of the returned columns.
You need to remove any columns that have a suffix of sourceid.
How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Box 1: Table.RemoveColumns
When you do "Remove Columns" Power Query uses the Table.RemoveColumns function Box 2: List.Select Get a list of columns.
Box 3: Text.EndsWith

NEW QUESTION # 199
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.
You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.
During the development process, you need to import a sample of the data from the Order table.
Solution: You add a WHERE clause to the SQL statement.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
The WHERE clause has its effects before the data is imported.
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-sql-tutorial

NEW QUESTION # 200
You have a Power Bl report that contains a page. The page contains the following:
* A shape named Shape 1
* A card named Sales Summary
* A clustered bar chart named Sales by Region
You need to ensure that Sales Summary renders on top of Shape 1. What should you modify?

A. Layer order in the Selection pane
B. Maintain layer order in the General visual settings
C. Vertical alignment in the Canvas settings
D. Tab order in the Selection pane

Answer: A

Explanation:
Explanation
You use Power Query Editor to preview the data shown in the following exhibit.
You confirm that the data will always start on row 3, and row 3 will always contain the column names.
You use Power Query Editor to preview the data shown in the following exhibit.
A screenshot of a computer Description automatically generated with medium confidence

NEW QUESTION # 201
......

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