Microsoft PL-300 Dumps
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PL-300 FAQs
PL-300 (Microsoft Power BI Data Analyst) exam is a certification test that validates your skills in preparing, modeling, visualizing, and analyzing data using Microsoft Power BI.
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Prepare the data (20-25%)
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Model the data (25-30%)
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Visualize & analyze data (25-30%)
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Deploy & maintain assets (20-25%)
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Format: Multiple-choice, drag-and-drop, case studies, and lab-based questions.
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Duration: 60-90 minutes
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Number of Questions: 40-60
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Passing Score: 700/1000
Practice writing DAX functions like CALCULATE and FILTER in Power BI Desktop using sample datasets. Study Microsoft Learn’s PL-300 learning path and use practice exam to master complex DAX scenarios.
The certification demonstrates expertise in creating actionable insights with Power BI, qualifying candidates for roles like data analyst or BI developer. It’s in demand in industries like finance and marketing for data-driven decision-making.
It opens doors to consulting or architect roles in the Microsoft Power Platform, with 30% of certified pros reporting salary hikes over 20%. Pair it with hands-on projects to move into senior positions like BI Manager. Renew annually via Microsoft Learn assessments to stay competitive—Dumpspedia tracks renewal trends for ongoing success.
You need actual practice. The exam now contains performance-based labs where you have to clean data in Power Query, write correct DAX, create relationships, and publish reports. Memorizing from Dumpspedia helps you pass the theory part fast, but combine it with daily practice in Power BI Desktop (free) for the labs.
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Microsoft Power BI Data Analyst Questions and Answers
You are profiling data by using Power Query Editor.
You have a table named Reports that contains a column named State. The distribution and quality data metrics for the data m State is 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.
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?
In Power Bi Desktop, you are creating visualizations in a report based on an imported dataset
You need to allow Power Bi users to export the summarized data used to create the visualizations but prevent the users from exporting the underlying data
What should you do?
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