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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q183-Q188):

NEW QUESTION # 183
You publish a report to a workspace named Customer Services.
The report identifies customers that have potential data quality issues that must be investigated by the customer services department of your company.
You need to ensure that customer service managers can create task lists in Microsoft Excel based on the data.
Which report setting should you configure?

A. Don't allow end user to save filters on this report.
B. Enable the updated filter pane, and show filters in the visual header for this report.
C. Allow users to add comments to this report.
D. Choose the type of data you allow your end users to export.
E. Change default visual interaction from cross highlighting to cross filtering.

Answer: D

NEW QUESTION # 184
You have a Power BI data model that analyzes product sales ever time. The data model contains the following tables.

A one-to-many relationship exists between the tables.
The auto date/time option for the data model enabled.
You need to reduce the size of the data model while maintaining the ability to analyze product sales by month and quarter.
Which two actions should you perform?

A. Create a Date table and select Mark as date table.
B. Create a relationship between the Date table and the Sales table.
C. Disable the load on the Date table.
D. Disable the auto date/time option.

Answer: A,D

Explanation:
Auto date/time can create a hidden date table for every eligible date column. A single marked date table plus disabling auto date/time reduces those hidden structures while retaining reusable month and quarter attributes.
The correct answers are A (Disable the auto date/time option); B (Create a Date table and select Mark as date table). The technical decision turns on how to reduce the size of the data model while maintaining the ability to analyze product sales by month and quarter. Keeping hidden auto date/time tables alongside a marked common Date table adds redundant structures and inconsistent hierarchies. This rationale is anchored to the PL-300 objective " Create a common date table " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-auto-date- time | PL-300 objective: " Create a common date table " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

NEW QUESTION # 185
You have a Power BI semantic model that contains four queries named Query 1, Query2.
Query3, and Query4.
Query1 loads customer data into the model and is referenced by the other three queries.
You discover that data refresh for the model is slow.
You need to improve the data refresh time. The solution must minimize costs.
What should you do?

A. Reconfigure Query1 as a dataflow entity.
B. Run the Table.buffer function in Query1.
C. Duplicate Query1 to all the other queries.
D. From the Power BI Admin portal, increase the Capacity settings.

Answer: A

Explanation:
https://learn.microsoft.com/en-us/power-bi/guidance/power-query-referenced-queries In the example, if Query1 is redesigned as a dataflow entity, Query2, Query3, and Query4 can use it as a data source. With this design, the entity sourced by Query1 will be evaluated only once.

NEW QUESTION # 186
You have a Fabric workspace named Workspace1 that contains two Power BI reports named Report1 and Report2.
You create a workspace app that contains both reports.
You need to ensure that the app meets the following requirements:
- Report1 must be visible to all the users in your organization.
- Report2 must be visible to only a security group named Group1.
What should you do next?

A. Share Report1 with the built-in All users security group.
B. Allow access to the hidden content of the app.
C. Assign Group1 the Viewer role for Workspace1.
D. Create an audience and assign Group1 to the audience

Answer: D

Explanation:
Limit your Apps, Maximize your Audiences
Audiences are a way for Power BI admins to keep a limited number of Workspaces/Apps, while adding multiple layers of permissions to the same reports. Organizing reports using this structure will avoid the need to create multiple versions of the same Workspace and will streamline report access provisioning.
Note: In Power BI, an audience refers to a group of users within a Power BI app who are assigned specific permissions and content visibility. This allows you to tailor the app experience for different user groups, such as employees, customers, or partners, by showing or hiding reports and dashboards.

NEW QUESTION # 187
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 # 188
......

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