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Skills measured

  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Visualize and analyze the data (25-30%)
  • Model the data (30-35%)
  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)

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

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.

Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. 2Pass4sure Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

                                                                                  Microsoft Power BI Data Analyst (PL-300 Korean Version) Sample Questions:

                                                                                  Power BI에서 현재 연도를 포함하여 10개 년도의 전체 달력 데이터를 포함하는 날짜 테이블을 만들어야 합니다. DAX 식을 어떻게 완성해야 할까요? 정답을 선택하려면 적절한 값을 올바른 위치로 드래그하세요. 각 값은 한 번, 여러 번 또는 전혀 사용되지 않을 수 있습니다. 내용을 보려면 창 사이의 분할 막대를 드래그하거나 스크롤해야 할 수 있습니다. 참고: 각 정답은 1점입니다.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  The retained answer-area mapping contains the correct selections. The key constraint is to create a date table in Power BI that must contain 10 full calendar years, including the current year. A text month or an incomplete date column cannot supply a reliable chronological hierarchy or the contiguous dates expected by time-intelligence calculations. A dedicated, contiguous date table supports month, quarter, and year analysis consistently. Marking it as a date table tells Power BI which column represents the model ' s canonical dates.
                                                                                  In Microsoft ' s current exam outline, the corresponding objective is " Create a common date table " . 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-date-tables | PL-300 objective: " Create a common date table " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

                                                                                  구매 부서용 Power BI 보고서가 있습니다. 이 보고서에는 다음 표의 데이터가 포함되어 있습니다.

                                                                                  공급업체와 품목 간에는 ID 및 공급업체 ID 열을 사용하는 일대다 관계가 있습니다.
                                                                                  보고서에는 다음 표에 나와 있는 시각 자료가 포함되어 있습니다.

                                                                                  시각적인 면에 영향을 주지 않으면서 의미 모델의 크기를 최소화해야 합니다. 어떻게 해야 할까요?

                                                                                  • A. LineItems[송장 날짜]가 지난달 초 이전인 행을 Lineitems에서 제거합니다.
                                                                                  • B. 품목별 가격 합계를 기준으로 품목[송장 ID] 및 품목별 날짜[송장 날짜]를 기준으로 품목을 그룹화합니다.
                                                                                  • C. 항목[설명] 열을 제거합니다.
                                                                                  • D. 공급업체와 Uneltems를 병합합니다.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

                                                                                  Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

                                                                                  귀사에는 회사 매출을 다양한 방식으로 시각화하여 보여주는 Power BI 대시보드가 ​​있습니다.
                                                                                  대시보드에서 Q&A 기능을 활성화할 수 있습니다.
                                                                                  질문 및 답변 기능을 사용할 때 사용자가 질문할 수 있는 예시 질문을 제공해야 합니다.
                                                                                  Power BI 설정에서 어떤 설정을 수정해야 할까요?

                                                                                  • A. 의미 모델
                                                                                  • B. 구독
                                                                                  • C. 대시보드
                                                                                  • D. 워크북
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

                                                                                  공개 웹 사이트에 여러 시각화를 포함할 계획입니다.
                                                                                  Power BI 인프라에는 다음 표와 같이 구성된 시각화가 포함되어 있습니다.

                                                                                  웹 사이트에 포함할 수 있는 두 가지 시각화는 무엇입니까? 각각의 정답은 완전한 해결책을 제시합니다.
                                                                                  참고: 각 올바른 선택은 1점의 가치가 있습니다.

                                                                                  • A. 비주얼1
                                                                                  • B. 비주얼5
                                                                                  • C. 비주얼4
                                                                                  • D. 비주얼2
                                                                                  • E. 비주얼3
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C,D  🗳️

                                                                                  Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

                                                                                  Purer 81 Desktop을 Cassandra 데이터베이스에 연결하려고 합니다.
                                                                                  데이터 가져오기 커넥터 목록에서 Cassandra 데이터베이스에 대한 특정 커넥터가 없다는 것을 알게 되었습니다. 데이터베이스에 연결할 수 있는 다른 데이터 커넥터를 선택해야 합니다.
                                                                                  어떤 커넥터를 선택해야 할까요?

                                                                                  • A. ODBC
                                                                                  • B. Microsoft SQL Server 데이터베이스
                                                                                  • C. OLE DB
                                                                                  • D. OData
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

                                                                                  Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

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