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Is Microsoft Power BI Data Analyst Certification Exam Worth It
There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.
The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft PL-300 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Prepare the Data (15-20%) | |
| Get data from different data sources | - identify and connect to a data source - change data source settings - select a shared dataset or create a local dataset - select a storage mode - use Microsoft Dataverse - change the value in a parameter - connect to a data flow |
| Clean, transform, and load the data | - profile the data - resolve inconsistencies, unexpected or null values, and data quality issues - identify and create appropriate keys for joins - evaluate and transform column data types - shape and transform tables - combine queries - apply user-friendly naming conventions to columns and queries - configure data loading - resolve data import errors |
Model the Data (30-35%) | |
| Design a data model | - define the tables - configure table and column properties - design and implement role-playing dimensions - define a relationship's cardinality and cross-filter direction - design a data model that uses a star schema - create a common date table |
| Develop a data model | - create calculated tables - create hierarchies - create calculated columns - implement row-level security roles - use the Q&A feature |
| Create model calculations by using DAX | - create basic measures by using DAX - use CALCULATE to manipulate filters - implement Time Intelligence using DAX - replace implicit measures with explicit measures - use basic statistical functions - create semi-additive measures - use quick measures |
| Optimize model performance | - remove unnecessary rows and columns - identify poorly performing measures, relationships, and visuals - reduce cardinality levels to improve performance |
Visualize and Analyze the Data (25-30%) | |
| Create reports | - add visualization items to reports - choose an appropriate visualization type - format and configure visualizations - use a custom visual - apply and customize a theme - configure conditional formatting - apply slicing and filtering - configure the report page - use the Analyze in Excel feature - choose when to use a paginated report |
| Create dashboards | - manage tiles on a dashboard - configure mobile view - use the Q&A feature - add a Quick Insights result to a dashboard - apply a dashboard theme - pin a live report page to a dashboard |
| Enhance reports for usability and storytelling | - configure bookmarks - create custom tooltips - edit and configure interactions between visuals - configure navigation for a report - apply sorting - configure Sync Slicers - group and layer visuals by using the selection pane - drilldown into data using interactive visuals - export report data - design reports for mobile devices |
| Identify patterns and trends | - use the Analyze feature in Power BI - identify outliers - choose between continuous and categorical axes - use groupings, binnings, and clustering - use AI visuals - use the Forecast feature - create reference lines by using the Analytics pane |
Deploy and Maintain Assets (20-25%) | |
| Manage files and datasets | - identify when a gateway is required - configure a dataset scheduled refresh - configure row-level security group membership - provide access to datasets - manage global options for files |
| Manage workspaces | - create and configure a workspace - assign workspace roles - configure and update a workspace app - publish, import, or update assets in a workspace - apply sensitivity labels to workspace content - configure subscriptions and data alerts - promote or certify Power BI content |
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
- Download the PL-300 study guide to help you prepare for the exam
- Watch PL-300 Exam Prep videos on Learn
Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate
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Microsoft Power BI Data Analyst (PL-300 Korean Version) Sample Questions:
Power BI 작업 영역에는 공급업체 품질 대시보드가 있습니다. 이 대시보드에는 카드 시각화 10개, 지도 시각화 2개, 막대 차트 시각화 5개가 포함되어 있습니다.
대시보드의 모바일 레이아웃은 첨부된 이미지에서 확인할 수 있습니다.
대시보드 모바일 레이아웃을 다음 요구 사항에 맞게 수정해야 합니다.
단일 값 시각화만 표시합니다.
스크롤을 최소화하세요.
어떻게 해야 할까요?
- A. 막대 차트 이미지를 레이아웃 상단으로 이동합니다. 지도 이미지를 제거합니다. 카드 이미지의 크기를 줄입니다.
- B. 카드 이미지를 제거하고 지도와 막대 그래프 이미지의 크기를 확대합니다.
- C. 카드 이미지 크기를 줄입니다. 지도 및 막대 그래프 이미지를 제거합니다.
- D. 지도와 막대 그래프의 크기를 줄이고, 모든 카드 이미지를 레이아웃 상단으로 이동합니다.
Correct Answer: C 🗳️
Explanation: Only visible for CramPDF members. You can sign-up / login (it's free).
여러 시각화 요소가 포함된 Power BI 보고서를 만들고 있습니다. 화면 판독기를 사용하는 사용자도 보고서에 접근할 수 있도록 해야 합니다. 어떤 두 가지 구성을 수행해야 할까요? 각 정답은 해결 방법의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 각 이미지에 일관된 글꼴 사용
- B. 각 이미지에 일관된 색상 적용
- C. 각 페이지의 탭 순서
- D. 각 이미지에 대한 대체 텍스트
- E. 각 페이지의 재생 축
Correct Answer: C,D 🗳️
Explanation: Only visible for CramPDF members. You can sign-up / login (it's free).
Azure Analysis Services 라이브 연결을 기반으로 하는 시맨틱 모델을 사용하는 Power BI 보고서가 있습니다.
사용자가 Power BI 서비스의 질의응답 기능을 사용하여 시맨틱 모델을 활용할 수 있도록 해야 합니다.
어떻게 해야 할까요?
- A. Power BI Desktop에서 동의어와 제안 질문을 추가합니다.
- B. Power BI 서비스에서 엔터프라이즈 게이트웨이를 시맨틱 모델에 추가합니다.
- C. Power BI Desktop에서 보고서에 질의응답 시각화를 추가합니다.
- D. Power BI 서비스에서 이 의미 모델에 대해 Q&A 켜기를 선택합니다.
Correct Answer: D 🗳️
Explanation: Only visible for CramPDF members. You can sign-up / login (it's free).
Power BI 보고서에 '총 매출'이라는 측정값이 포함되어 있습니다.
선택한 날짜까지의 1년 동안의 총 주(State) 수의 합계를 반환하는 새 측정값을 만들어야 합니다. DAX 표현식은 어떻게 작성해야 할까요? 정답을 선택하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
TOTALYTD([Total Sales], ' Date ' [Date])
Configure the answer as follows: TOTALYTD([Total Sales], ' Date ' [Date]). The scenario is asking for a way to create a new measure that will return the sum of Total Sates for a year up to a selected date. 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. DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. In Microsoft ' s current exam outline, the corresponding objective is " 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
다음 그림과 같이 Power BI 데이터 모델이 있습니다.
선택한 기간 동안 제품이 판매된 제품 카테고리의 수를 계산하는 측정값을 만들어야 합니다. DAX 표현식을 어떻게 완성해야 할까요? 정답을 선택하려면 답변 영역에서 적절한 옵션을 선택하세요. 참고: 각 정답은 1점입니다.
Correct Answer:
Explanation:
The technical decision turns on how to create a measure to count the number of product categories that had products sold during a selected period. The selections in the retained answer exhibit are the verified configuration. Measures are evaluated in the current filter context, whereas calculated columns are stored at refresh. The selected DAX must therefore return the requested result at the correct grain without materializing unnecessary model data. 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. The current PL-300 study guide places this under the objective " 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
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