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Skills measured
- Model the data (30-35%)
- Visualize and analyze the data (25-30%)
- Prepare the data (15-20%)
- Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
- Deploy and maintain assets (20-25%)
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Exam PL-300: Microsoft Power BI Data Analyst
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.
Passing score: 700. Learn more about exam scores.
- Demo the exam experience by visiting our Exam Sandbox
- Watch PL-300 Exam Prep videos on Learn
- Download the PL-300 study guide to help you prepare for the exam
Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam
The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.
Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 25-30% | - Get or connect to data
|
| Topic 2: Model the data | 25-30% | - Create model calculations
|
| Topic 3: Manage and secure Power BI | 15-20% | - Implement security and governance
|
| Topic 4: Visualize and analyze data | 25-30% | - Create reports and dashboards
|
Microsoft Power BI Data Analyst Sample Questions:
The tables have the following relationships.
You have 100 salespeople in 10,000 cities. Each salesperson sells in multiple cities.
You import one million rows into the Sales table.
You need to reduce the size of Model1. The solution must ensure that you can analyze the total number of sales by salesperson per city.
Solution: You summarize the data in the Sales table by SalesPersonID.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
You have a semantic model that contains two tables named DimCustomer and FactOrderDetails.
The primary key of DimCustomer is CustomerID.
FactOrderDetails contains a column named CustomerID that can be used to relate to DimCustomer. Multiple rows in FactOrderDetails possibly have the same CustomerID value.
You need to create a relationship from FactOrderDetails to DimCustomer. The solution must optimize query performance.
What should you create?
- A. an active, single-direction, many-to-one relationship
- B. an inactive, single-direction, one-to-many relationship
- C. an active, bi-directional, many-to-one relationship
- D. an active, single-direction, one-to-many relationship
Correct Answer: A 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
You have a Power BI semantic model that contains a table named Item. The Item table contains a column named Quantity. You need to create a DAX query that meets the following requirements:
; The rank of items must be calculated according to the values in Quantity.
; Ranking must NOT be skipped if two or more items have the same value in Quantity.
; If an item is unfiltered, the total of Quantity must display a blank value.
How should you complete the DAX formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The retained answer-area mapping contains the correct selections. The scenario is asking for a way to create a DAX query that meets the following requirements:; The rank of items must be calculated according to the values in Quantity.; Ranking must NOT be skipped if two. Guessing from total page time does not isolate the slow visual or measure; the diagnostic must separate DAX query, visual display, and other processing duration. Performance Analyzer records how long each visual spends on its DAX query, display, and other processing. DAX query view can then run and inspect a copied query to isolate the measure responsible for slow execution. In Microsoft ' s current exam outline, the corresponding objective is " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/performance-analyzer | PL-300 objective: " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
You have a PBIX file that contains sensitive Information.
You need to secure the information to meet the following requirements:
; Only internal users must be able to open the file If the file Is shared via email.
; Once the file Is published, only Internal users must be able to open the semantic model and the report downloaded from the Power BI service.
What should you do?
- A. Certify the semantic model and the report.
- B. Use a live function lot the file.
- C. From the Power BI service, apply a sensitivity label.
- D. From Microsoft Power BI Desktop, apply a sensitivity label.
Correct Answer: D 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
You view a query named Transactions as shown in the following exhibit.
The query gets CSV files from a folder.
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.
Correct Answer:
Explanation:
Power Query should resolve this requirement before the data enters the semantic model. The chosen transformation preserves the required rows and grain while converting the source layout into an analysis- ready table. Begin with the scenario statement that you view a query named transactions as shown in the following exhibit. the query gets csv files from a folder. use the drop-down menus to select the answer choice that completes. The verified mapping records 1) 9; 2) 10. The relevant current PL-300 study-guide bullet is " Create and transform columns " . A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
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