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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
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. Apply data sensitivity labels and protection 2. Configure row-level security (RLS) and object-level security 3. Manage permissions and access - Manage workspaces and assets 1. Create and configure workspaces 2. Publish, update, and organize reports/datasets 3. Manage data refresh and scheduled updates
Model the data	25-30%	- Optimize model performance 1. Reduce cardinality and data size 2. Use aggregations and composite models 3. Optimize relationships and calculations - Design data models 1. Define tables, columns, and hierarchies 2. Create relationships: cardinality, cross-filter direction, security 3. Create common date tables 4. Implement role-playing dimensions - Create model calculations 1. Use DAX: calculated columns, calculated tables, measures 2. Use CALCULATE and filter context 3. Implement aggregation and time intelligence
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. Interpret results and identify trends 2. Create and manage bookmarks and tooltips 3. Implement custom visuals and R/Python scripts
Prepare the data	25-30%	- Load and configure data 1. Configure data refresh settings 2. Integrate data from multiple sources 3. Define table structures and properties - Get or connect to data 1. Identify and connect to data sources or shared semantic models 2. Create and modify parameters 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Configure data source settings, credentials, and privacy levels - Profile and clean data 1. Manage data types, columns, and rows 2. Transform data using Power Query Editor 3. Resolve inconsistencies, null values, and errors 4. Evaluate data statistics and column properties

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Microsoft Power BI Data Analyst Sample Questions (Q143-Q148):

NEW QUESTION # 143
You create a Power Bl dataset that contains the table shown in the following exhibit.

You need to make the table available as an organizational data type In Microsoft Excel.
How should you configure the properties of the table? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 144
Case Study 1 - Litware, Inc.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports. The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
- Executives require a visual that shows sales by region.
- Regional managers require a visual to analyze weekly sales and
returns.
- Sales managers must be able to see the sales data of their respective region only.
- The sales managers require a visual to analyze sales performance
versus sales targets.
- The sale department requires reports that contain the number of sales transactions.
- Users must be able to see the month in reports as shown in the
following example: Feb 2020.
- The customer service department requires a visual that can be
filtered by both sales month and ship month independently.
- The maximum allowed latency to include transactions in reports is
five minutes.
You need to review the data for which there are concerns before creating the data model.
What should you do in Power Query Editor?

A. Select Column profile, and then select the sales_amount column.
B. Select Column distribution.
C. Select the sales_amount column and apply a number filter.
D. Transform the sales_amount column to replace negative values with 0.

Answer: A

Explanation:
It has a min and a max info so you can see if there are negative values.

NEW QUESTION # 145
Your company has affiliates who help the company acquire customers.
You build a report for the affiliate managers at the company to assist them in understanding affiliate performance.
The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. You have a data model that contains the following tables.

You need to develop a measure to support the visual.
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:

Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax

NEW QUESTION # 146
What is the minimum number of Power BI semantic models needed to support the reports?

A. a single DirectQuery semantic model
B. two DirectQuery semantic models
C. two imported semantic models
D. a single imported semantic model

Answer: D

Explanation:
The deciding requirement in this question is to what is the minimum number of power bi semantic models needed to support the reports. The supported selection is A (a single imported semantic model). DirectQuery leaves data at the source and sends queries when users interact with a report. Transformations therefore need to preserve source compatibility and, where possible, query folding. Importing or materializing the result would change the storage behavior, while a nonfolding transformation can force inefficient source retrieval.
The current PL-300 study guide places this under the objective " Choose between DirectLake, DirectQuery, and Import " . It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-directquery- about | PL-300 objective: " Choose between DirectLake, DirectQuery, and Import " | Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

NEW QUESTION # 147
You plan to create a report that will display sales data from the last year for multiple regions You need to restrict access to individual rows of the data on a per region-basis by using roles.
Which four 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:

NEW QUESTION # 148
......

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