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Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Passing Score:700 (out of 1000)
Available Languages:Portuguese (Brazil), Chinese (Simplified), Italian, Japanese, German, Korean, French, English, Spanish
Exam Price:USD $165 (varies by country/region)
Certificate Validity Period:1 year (renewable annually via Microsoft Learn assessment)
Related Certifications:Microsoft Certified: Data Analyst Associate
Microsoft Certified: Power Platform Fundamentals (PL-900)
Exam Format:Case studies, Multiple response, Multiple choice, Lab simulations, Drag and drop
Real Exam Qty:40-60 (approx.)
Exam Duration:100-120
Recommended Training:Microsoft Learn PL-300 Learning Path
Power BI Guided Learning
Exam Registration:Pearson VUE Registration
Microsoft Certification Portal
Sample Questions:Microsoft PL-300 Sample Questions
Exam Way:Online proctored exam or onsite test center via Pearson VUE
Pre Condition:No mandatory prerequisites, but recommended: 1+ year experience with Power BI and data analysis.
Official Syllabus URL:https://learn.microsoft.com/credentials/certifications/power-bi-data-analyst-associate/

The PL-300 certification exam is intended for data analysts, business analysts, and other professionals who use Power BI to analyze and visualize data. It is also suitable for individuals who are responsible for creating reports and dashboards for business users or stakeholders. Microsoft Power BI Data Analyst certification can help these professionals demonstrate their expertise in using Power BI to deliver meaningful insights and analysis to their organizations.

Microsoft PL-300 exam is designed for those who are looking to validate their skills and knowledge in Microsoft Power BI Data Analysis. Microsoft Power BI Data Analyst certification exam is highly sought after by professionals who want to demonstrate their proficiency in Power BI and stand out in their career. PL-300 exam is intended for individuals who work with data models, reports, dashboards, and visualizations in Power BI.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain assets15-20%- Manage workspaces and datasets
  • 1. Configure refresh schedules
    • 2. Publish and manage datasets
      - Secure and monitor Power BI
      • 1. Monitor usage and performance
        • 2. Implement row-level security
          Topic 2: Model the data30-40%- Design a data model
          • 1. Define relationships and cardinality
            • 2. Design star schema
              - Develop a data model
              • 1. Optimize model performance
                • 2. Create DAX calculations
                  Topic 3: Prepare the data15-20%- Clean, transform, and load data
                  • 1. Shape and transform data
                    • 2. Clean data using Power Query
                      - Get data from data sources
                      • 1. Identify and connect to data sources
                        • 2. Select storage modes
                          Topic 4: Visualize and analyze data25-35%- Create reports and dashboards
                          • 1. Create visuals and KPIs
                            • 2. Design report layouts
                              - Enhance reports for usability
                              • 1. Apply filters and slicers
                                • 2. Implement drill-through and navigation

                                  Microsoft Power BI Data Analyst Sample Questions:

                                  Question #1

                                  You have a Power BI semantic model that contains a table named Opportunity.
                                  The Opportunity table contains a column named Qualification
                                  The Qualification column contains values between 0 and V
                                  You need to build a new measure to score the opportunities on a scale of low, medium, and high.
                                  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.

                                  Reveal Solution  Discussion  0

                                  Correct Answer:


                                  Explanation:

                                  What determines the answer is the need to build a new measure to score the opportunities on a scale of low, medium, and high. The verified expression produces the requested scalar result under report filtering. It uses model relationships and DAX context semantics instead of shifting a dynamic calculation into a static source or calculated column. Use the selections preserved in the answer exhibit as the supported configuration. An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. Microsoft lists this skill in the current PL-300 outline as " Create single aggregation measures " .
                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
                                  /study-guides/pl-300

                                  Question #2

                                  You have the Power BI data model 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.

                                  Reveal Solution  Discussion  0

                                  Correct Answer:


                                  Explanation:

                                  The relevant context is that you have the power bi data model shown in the following exhibit. use the drop- down menus to select the answer choice that completes each statement based on the information presented.
                                  Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. Use the selections preserved in the answer exhibit as the supported configuration. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. Microsoft lists this skill in the current PL-300 outline as " Define a relationship ' s cardinality and cross-filter direction " .
                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
                                  | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

                                  Question #3

                                  You import two Microsoft Excel tables named Customer and Address into Power Query Customer contains the following columns:
                                  ; Customer ID
                                  ; Customer Name
                                  ; Phone
                                  ; Email Address
                                  ; Address ID
                                  Address contains the following columns:
                                  ; Address ID
                                  ; Address Line 1
                                  ; Address Line 2
                                  ; City
                                  ; State/Region
                                  ; Country
                                  ; Postal Code
                                  Each Customer ID represents a unique customer m the Customer table. Each Address ID represents a unique address m the Address table. You need to create a query that has one row per customer. Each row must contain City. State/Region, and Country for each customer. What should you do?

                                  • A. Transpose the Customer and Address tables.
                                  • B. Merge the Customer and Address tables.
                                  • C. Group the Customer and Address tables by the Address ID column.
                                  • D. Append the Customer and Address tables.
                                  Reveal Solution  Discussion  0

                                  Correct Answer: B  🗳️

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                                  Question #4

                                  You use Power Query Editor to preview customer feedback data.
                                  You need to use AI Insights to add a column of enhanced data based on the customer feedback. The solution must identify the following:
                                  ; What the customers most often provide feedback about
                                  ; Whether the customers like your company's product
                                  ; The language of the feedback
                                  Which AI Insights service should you use for each output? To answer, drag the appropriate services to the correct outputs. Each service may be used once, more than once. or not at all. You may need to drag the split bar between panes or scroll to view content.
                                  NOTE: Each correct selection is worth one point.

                                  Reveal Solution  Discussion  0

                                  Correct Answer:


                                  Explanation:

                                  The retained answer-area mapping contains the correct selections. The scenario is asking for a way to apply AI Insights services that extract recurring topics, sentiment, and language from customer feedback. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This is a shaping operation in Power Query. Performing it in the applied steps produces correctly typed, named, and structured columns before loading, which keeps report and model logic focused on analysis. In Microsoft ' s current exam outline, the corresponding objective is " Create and transform columns " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
                                  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

                                  Question #5

                                  You have a Power BI semantic model that contains the following tables.

                                  Reveal Solution  Discussion  0

                                  Correct Answer:


                                  Explanation:

                                  The retained answer-area mapping contains the correct selections. Begin with the scenario statement that you have a power bi semantic model that contains the following tables. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable.
                                  In Microsoft ' s current exam outline, the corresponding objective is " Define a relationship ' s cardinality and cross-filter direction " . It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
                                  | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

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