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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.

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The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

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. Pass4Leader 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:

TopicDetails
Topic 1
  • Prepare the data: Getting data from data sources and cleaning the data are focal points of this topic. It also explains transforming and loading the data.
Topic 2
  • Manage and secure Power BI: In this topic, the focal point is on creating and managing workspaces.
Topic 3
  • Visualize and analyze the data: Creating reports, enhancing reports for usability and storytelling, and identifying patterns and trends are sub-topics of this exam topic.
Topic 4
  • Model the data: It delves into designing and implementing a data model. The sub-topic of creating model calculations by using DAX is also present. Moreover, it discusses optimizing model performance.

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

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

민감한 정보가 포함된 PBIX 파일이 있습니다.
다음 요건을 충족하려면 정보를 안전하게 보호해야 합니다.
이메일을 통해 파일을 공유하는 경우, 내부 사용자만 해당 파일을 열 수 있어야 합니다.
파일이 게시되면 내부 사용자만 Power BI 서비스에서 다운로드한 시맨틱 모델과 보고서를 열 수 있어야 합니다.
어떻게 해야 할까요?

  • A. 라이브 기능을 사용하여 파일을 많이 처리하세요.
  • B. 의미 모델과 보고서를 인증합니다.
  • C. Power BI 서비스에서 민감도 레이블을 적용합니다.
  • D. Microsoft Power BI Desktop에서 민감도 레이블을 적용합니다.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).

Power BI 보고서에 클러스터형 막대 차트가 포함되어 있습니다. 이 차트의 X축은 '매출액', Y축은 '연도'로 설정되어 있으며, 2020년부터 2024년까지의 매출 데이터를 표시합니다.
당해 연도 매출액과 전년도 매출액을 합산한 누적 매출액을 시각적으로 보여주는 계산식을 만들어야 합니다.
어떤 DAX 표현식을 사용해야 할까요?

  • A. CALCULATE ( [Sales], ' Date ' [Year] <= MAX < ' Date ' [Year ] ) )
  • B. 이동평균([매출], 4)
  • C. 누적합([연도])
  • D. 누적합([매출])
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).

막대 차트 시각화를 만들고 있습니다.
그룹 구성은 그룹 그림에 나와 있는 대로 진행합니다.

시각화 결과는 차트 자료에 나타난 것과 같습니다.

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
The completed mapping shown in the answer area is correct. The case is framed around this condition: you are creating a column chart visualization. you configure groups as shown in the groups exhibit. the visualization appears as shown in the chart exhibit. for each of the following statements. Visual selection follows the analytical question: line charts show change over time, bars compare categories, scatter charts expose relationships and outliers, KPIs track progress against a target, and AI visuals explain likely drivers.
This directly matches the current study-guide objective " Select an appropriate visual " . The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Select an appropriate visual " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300

다음 그림에 표시된 쿼리를 검토하려면 Power Query 편집기를 사용합니다.

Reveal Solution  Discussion  0

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. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you use power query editor to review the query shown in the following exhibit. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " 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

Power BI 시맨틱 모델에 Dim Location과 Fact Deliveries라는 두 개의 테이블이 있습니다. 테이블 간의 관계는 다음 표와 같이 구성되어 있습니다.

이 모델에는 다음과 같은 수식을 가진 하나의 측정값이 포함되어 있습니다.
배송 건수 = COUNTROWS( ' fact Deliveries ' )

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

The completed mapping shown in the answer area is correct. The case is framed around this condition: you have a power bi semantic model that contains two tables named dim location and fact deliveries. the relationships between the tables are configured as shown in the following table. 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. This directly matches the current study-guide objective " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
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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