Valid Exam PL-300 Practice - PL-300 Prep Guide

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Manage and secure Power BI	15-20%	- 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 - 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
Topic 2: Prepare the data	25-30%	- Load and configure data 1. Integrate data from multiple sources 2. Configure data refresh settings 3. Define table structures and properties - Profile and clean data 1. Manage data types, columns, and rows 2. Evaluate data statistics and column properties 3. Resolve inconsistencies, null values, and errors 4. Transform data using Power Query Editor - 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
Topic 3: Model the data	25-30%	- Create model calculations 1. Implement aggregation and time intelligence 2. Use CALCULATE and filter context 3. Use DAX: calculated columns, calculated tables, measures - Design data models 1. Create common date tables 2. Create relationships: cardinality, cross-filter direction, security 3. Define tables, columns, and hierarchies 4. Implement role-playing dimensions - Optimize model performance 1. Reduce cardinality and data size 2. Optimize relationships and calculations 3. Use aggregations and composite models
Topic 4: 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. Apply filters, slicers, and drill-through 2. Create dashboards and pinned elements 3. Design report layout, formatting, and interactivity 4. Choose appropriate visualizations - Perform data analysis 1. Create and manage bookmarks and tooltips 2. Implement custom visuals and R/Python scripts 3. Interpret results and identify trends

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Microsoft Power BI Data Analyst Sample Questions (Q150-Q155):

NEW QUESTION # 150
You have the data lineage 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:

Explanation:

Box 1: CONTOSO BIKES report
Box 2: three datasets
Images, tweets and the Contoso datasets.

NEW QUESTION # 151
You are creating an analytics report that will consume data from the tables shown in the following table.

There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Reference:
https://tessellationtech.io/optimizing-power-bi-reports/

NEW QUESTION # 152
Hotspot Question
You have a Power BI semantic model that contains two tables named Sales and Forecast. Both tables contain a date column.
You need to create a calculated table that will cover the range of dates in both tables.
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:

NEW QUESTION # 153
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 # 154
You have a Power BI data model that contains a table named Employees. The table has the following columns:
* Employee Name
* Email Address
* Start Date
* Job Title
You are implementing dynamic row-level security (RLS).
You need to create a table filter to meet the following requirements:
* Users must see only their own employee data
* The DAX expression must work in both Power 81 Desktop and the Power BI service.
Which expression should you use?

A. Option A
B. Option C
C. Option B
D. Option D

Answer: C

NEW QUESTION # 155
......

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