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

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Microsoft Power BI Data Analyst Exam Certification Details:

Passing Score700 / 1000
Duration180 mins
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Exam Price$165 (USD)
Schedule ExamPearson VUE
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Number of Questions40-60
Exam CodePL-300

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What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

  • Creating custom data models that support analysis and reporting requirements

  • Developing dashboards that provide actionable insights into business performance

  • Identifying sources of data that can contribute to achieving business goals

  • Understanding business context, including organizational strategy and objectives

Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Visualize and analyze data25-30%- Enhance reports with analytics
  • 1. Create paginated reports
    • 2. Apply conditional formatting and custom visuals
      • 3. Use AI visuals, forecasts, and key influencers
        - Perform data analysis
        • 1. Interpret results and identify trends
          • 2. Create and manage bookmarks and tooltips
            • 3. Implement custom visuals and R/Python scripts
              - Create reports and dashboards
              • 1. Apply filters, slicers, and drill-through
                • 2. Choose appropriate visualizations
                  • 3. Design report layout, formatting, and interactivity
                    • 4. Create dashboards and pinned elements
                      Prepare the data25-30%- Profile and clean data
                      • 1. Manage data types, columns, and rows
                        • 2. Resolve inconsistencies, null values, and errors
                          • 3. Transform data using Power Query Editor
                            • 4. Evaluate data statistics and column properties
                              - Get or connect to data
                              • 1. Configure data source settings, credentials, and privacy levels
                                • 2. Create and modify parameters
                                  • 3. Identify and connect to data sources or shared semantic models
                                    • 4. Choose storage modes: Import, DirectQuery, DirectLake
                                      - Load and configure data
                                      • 1. Configure data refresh settings
                                        • 2. Integrate data from multiple sources
                                          • 3. Define table structures and properties
                                            Manage and secure Power BI15-20%- Manage workspaces and assets
                                            • 1. Manage data refresh and scheduled updates
                                              • 2. Publish, update, and organize reports/datasets
                                                • 3. Create and configure workspaces
                                                  - Deploy and distribute content
                                                  • 1. Embed content in applications or websites
                                                    • 2. Monitor usage and performance
                                                      • 3. Share reports, dashboards, and apps
                                                        - Implement security and governance
                                                        • 1. Configure row-level security (RLS) and object-level security
                                                          • 2. Apply data sensitivity labels and protection
                                                            • 3. Manage permissions and access
                                                              Model the data25-30%- Optimize model performance
                                                              • 1. Reduce cardinality and data size
                                                                • 2. Use aggregations and composite models
                                                                  • 3. Optimize relationships and calculations
                                                                    - 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. Implement role-playing dimensions
                                                                            • 2. Define tables, columns, and hierarchies
                                                                              • 3. Create common date tables
                                                                                • 4. Create relationships: cardinality, cross-filter direction, security

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  Question #1

                                                                                  You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table. Which type of calculation and which formula should you use? 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:
                                                                                  Calculation type: Power Query custom column; Formula: Date.EndOfMonth(#date([Year], [Month] , 1)) Type of calculation An M custom column Formula Date.EndOfMonth(#date([Year], [Month] , 1)) Date.EndOfMonth returns the last date in the month containing its input date. Building the date from the Year and Month fields in a Power Query custom column therefore creates the exact month-end key required for the relationship. The supported result is Calculation type: Power Query custom column; Formula: Date.
                                                                                  EndOfMonth(#date([Year], [Month] , 1)). What determines the answer is the need to calculate the last day of each balance-sheet month so the rows can relate to the Date table. A DAX measure would not create a row- level relationship key, and a quarter-end function would return the wrong date for most months. This rationale is anchored to the PL-300 objective " Create and transform columns " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/powerquery-m/date-endofmonth | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

                                                                                  Question #2

                                                                                  You have a PBIX file that imports several tables from an Azure SQL database.
                                                                                  The data will be migrated to another Azure SQL database.
                                                                                  You need to change the connections in the PBIX file. The solution must minimize administrative effort.
                                                                                  What should you do?

                                                                                  • A. Modify the Data source settings.
                                                                                  • B. From Power Query Editor, modify the source of each query.
                                                                                  • C. Create a PBIT file, open the file, and change the data sources when prompted
                                                                                  • D. From Power Query Editor, create new queries.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

                                                                                  Question #3

                                                                                  You have a Power BI model that contains two tables named Population and Date.
                                                                                  The Population table contains two columns named Population Amount and Date Key.
                                                                                  DateKey contains date values that represent the first day of a year and are used to create a many-to The Power BI model contains two measures that have the following definitions.
                                                                                  Total Population = Sum ( ' Population ' [Population Amount])
                                                                                  2023 Population = CALCULATE ([Total Population] " Date ' [Year] = 2023) You create a table visual that displays Date[Year] and [2023 Population] .
                                                                                  What will the table visual show?

                                                                                  • A. one row per date that contains the population value for the corresponding year repeated in each row
                                                                                  • B. a single row for the year 2023 that contains the related population value
                                                                                  • C. one row per year that contains the same value repeated for each year
                                                                                  • D. one row per year that contains blank values for every year except 2023
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

                                                                                  Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

                                                                                  Question #4

                                                                                  You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the following format: 2018-12-
                                                                                  31 at 08:59.
                                                                                  You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
                                                                                  What should you do?

                                                                                  • A. Change the data type of the Logged column to Date.
                                                                                  • B. Apply a transform to extract the first 11 characters of the Logged column.
                                                                                  • C. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
                                                                                  • D. Apply a transform to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

                                                                                  Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).

                                                                                  Question #5

                                                                                  You need to grant access to the business unit analysts.
                                                                                  What should you configure? 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:


                                                                                  The verified mapping records 1) The Viewer role to the workspace; 2) Build. The required outcome is to grant access to the business unit analysts. A broader role would grant unnecessary authoring or administration, while Viewer cannot create or publish workspace content. Power BI workspace roles separate viewing, authoring, publishing, and administration. The correct assignment follows least privilege: give the user the capability stated in the scenario without also granting content or access-management rights. In Microsoft ' s current exam outline, the corresponding objective is " Create dashboards " . This keeps service access and operational behavior within the scope requested instead of granting or changing unrelated capabilities.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new- workspaces | PL-300 objective: " Create dashboards " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

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