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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
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 - Enhance reports with analytics 1. Apply conditional formatting and custom visuals 2. Create paginated reports 3. Use AI visuals, forecasts, and key influencers - 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
Prepare the data	25-30%	- Profile and clean data 1. Resolve inconsistencies, null values, and errors 2. Manage data types, columns, and rows 3. Evaluate data statistics and column properties 4. Transform data using Power Query Editor - Load and configure data 1. Define table structures and properties 2. Integrate data from multiple sources 3. Configure data refresh settings - Get or connect to data 1. Choose storage modes: Import, DirectQuery, DirectLake 2. Create and modify parameters 3. Identify and connect to data sources or shared semantic models 4. Configure data source settings, credentials, and privacy levels
Manage and secure Power BI	15-20%	- 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. Embed content in applications or websites 2. Share reports, dashboards, and apps 3. Monitor usage and performance - 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%	- Create model calculations 1. Use CALCULATE and filter context 2. Use DAX: calculated columns, calculated tables, measures 3. Implement aggregation and time intelligence - Design data models 1. Create common date tables 2. Create relationships: cardinality, cross-filter direction, security 3. Implement role-playing dimensions 4. Define tables, columns, and hierarchies - Optimize model performance 1. Reduce cardinality and data size 2. Use aggregations and composite models 3. Optimize relationships and calculations

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Microsoft Power BI Data Analyst Sample Questions (Q415-Q420):

NEW QUESTION # 415
You plan to create a Power Bl dataset to analyze attendance at a school. Data will come from two separate views named View1 and View? in an Azure SQL database. View1 contains the columns shown in the following table.

View2 contains the columns shown in the following table.

Answer:

Explanation:

NEW QUESTION # 416
Your company plans to use Power BI for 20 users in the sales department. The users will perform the following tasks:
* Access a published Power BI app
* Modify reports in an app workspace
* Share dashboards created in My Workspace
You need to identify which Power BI licenses are required for the tasks. The solution must use the Power BI (free) licenses, whenever possible.
Which license should you identify for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, text, application, email Description automatically generated

References:
https://docs.microsoft.com/en-us/power-bi/service-create-distribute-apps
https://docs.microsoft.com/en-us/power-bi/service-collaborate-power-bi-workspace

NEW QUESTION # 417
You are creating a sales report in Power Bl for the NorthWest region sales territory of your company. Data will come from a view in a Microsoft SQL Server database. A sample of the data is shown in the following table:

The report will facilitate the following analysis:
* The count of orders and the sum of total sales by Order Date
* The count of customers who placed an order
* The average quantity per order
You need to reduce data refresh times and report query times.
Which two actions should you perform? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

A. Fillet the data to only the NorthWest region sales territory.
B. Remove the CustomerKey and ProductKey columns.
C. Set the data type for SatesOrderNumber to Decimal Number
D. Remove the TaxAmt and Freight columns.

Answer: A,D

NEW QUESTION # 418
You have a semantic model that has the permissions shown in the following exhibit.

Use the drop-down menus to select the answer choice the that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 419
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 provide a solution to provide the sales managers with the required access.
What should you include in the solution?

A. Create a security role that has a table filter on the Sales_Manager table where name = UserName().
B. Create a security role that has a table filter on the Sales_Manager table where username = sales_manager_id.
C. Create a security role that has a table filter on the Region_Manager table where sales_manager_id = UserPrincipalName().
D. Create a security role that has a table filter on the Sales_Manager table where username = UserName()

Answer: D

Explanation:
The sales managers must be able to see only the sales data of their respective region.
Use the username field of the Sales_manager table.
Also use the Username() DAX function to validate the username.
Reference:
https://powerbi.microsoft.com/en-my/blog/using-username-in-dax-with-row-level-security/

NEW QUESTION # 420
......

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