Exam PL-300: Microsoft Power BI Data Analyst
| Exam Number: PL-300 | Length of test: 120 mins |
| Exam Name: Microsoft Power BI Data Analyst | Number of questions in the actual exam: 40-60 |
| Format: PDF, VPLUS | Passing Score: 700/1000 |
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Total Questions: 370 $30 Premium PDF file 2 months updates Last updated: November-2024 |
Total Questions: 370 FREE Premium VPLUS file Last updated: November-2024 |
Download practice test questions
| Title | Size | Hits | Download |
|---|---|---|---|
| Microsoft.PL-300 .vAug-2024.by.Scany.209q | 7.71 MB | 108 | Download |
| Microsoft.PL-300 .vAug-2024.by.Scany.209q | 12.23 MB | 44 | Download |
| Microsoft.PL-300.vJan-2024.by.HuynDair.127q | 6.78 MB | 126 | Download |
| Microsoft.PL-300.vOct-2023.by.LeeSoui.83q | 1.87 MB | 94 | Download |
Study guide for Exam PL-300: Microsoft Power BI Data Analyst
Audience profile
As a candidate for this exam, you should deliver actionable insights by working with available data and applying domain expertise. You should:
- Provide meaningful business value through easy-to-comprehend data visualizations.
- Enable others to perform self-service analytics.
- Deploy and configure solutions for consumption.
As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to:
- Transform the data.
- Create data models.
- Visualize data.
- Share assets.
You should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). You know how to assess data quality. Plus, you understand data security, including row-level security and data sensitivity.
Skills at a glance
Prepare the data (25–30%)
- Get data from data sources
- Clean the data
- Transform and load the data
Model the data (25–30%)
- Design and implement a data model
- Create model calculations by using DAX
- Optimize model performance
Visualize and analyze the data (25–30%)
- Create reports
- Enhance reports for usability and storytelling
- Identify patterns and trends
Deploy and maintain items (15–20%)
- Create and manage workspaces and items
- Manage semantic models
Some new questions:
Q
A user creates a Power B1 report named ReportA that uses a custom theme
You create a dashboard named DashboardA.
You need to ensure that DashboardA uses the custom theme. The solution must minimize development effort.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. From DashboardA upload a JSON theme.
B. Publish ReportA to the Microsoft Power B1 Community theme gallery.
C. From DashboardA create a custom theme.
D. From ReportA save the current theme.
E. Publish ReportA to Power Bl.
Q
You plan to use Power B1 to create sales invoices for customers. The solution must meet the following requirements:
* Sales invoices must be exported in a PDF format
* The PDF exports must show all columns and rows clearly.
What should you create?
A. a paginated report that contains a table
B. an interactive report that contains a matrix
C. a dashboard that contains a table
D. an inlet active report that contains a table
Q
You have a source that contains a comumn. The column contains case sensitive date. You have a Power BI semantic model in DirectQuery mode. You connect to the model and discover that it contains undefined values and errors. You need to resolve the issue.
Solution: You add an index key and normalize casing in the data source.
Does this meet the goal?
A. Yes
B. No
Q
You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys.
* Due Date
* Order Date
* Delivery Date
You need to support the analysis of sales over time based on all three dates at the same time.
Solution: From the Data pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Deliver Date as calculated tables. You create active relationships between the sales table and each date table.
Does this meet the goal?
A. Yes
B. No
……………….