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Microsoft PL-300日本語 : Microsoft Power BI Data Analyst (PL-300日本語版)

Exam Code: PL-300J

Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)

Updated: Oct 30, 2026

Q & A: 472 Questions and Answers

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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

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.

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

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Microsoft Power BI Data Analyst Certification Exam Reference

Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Define and monitor KPIs
  • 2. Track goals with scorecards
  • 3. Use the Decomposition Tree visual
  • 4. Create metrics using Microsoft measurements
- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Generate Pinn visual insights
  • 3. Identify patterns and trends
  • 4. Use the Q&A visual
  • 5. Apply Quick Insights
Topic 2: Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Configure workspace membership and roles
  • 2. Publish and update a Power BI app
  • 3. Configure content certification
  • 4. Endorse sensitive content with sensitivity labels
- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Configure dataset metadata and properties
  • 3. Manage dataset refresh scheduling
  • 4. Manage gateways and data sources
Topic 3: Model the Data25-30%- Develop the data model
  • 1. Implement row-level security roles
  • 2. Configure table relationships
  • 3. Build hierarchies and hierarchical fields
  • 4. Create common date tables
  • 5. Use the calculation group feature
  • 6. Create calculated tables and columns
- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Optimize DirectQuery models
  • 3. Improve user experience by hiding objects
  • 4. Configure aggregations
  • 5. Optimize Dax queries
- Create measures and DAX calculations
  • 1. Write and use basic DAX syntax
  • 2. Create semi-additive measures
  • 3. Implement context transition
  • 4. Use CALCULATE and FILTER functions
  • 5. Create calculated measures
  • 6. Use Time Intelligence functions
- Design a data model
  • 1. Resolve performance issues with relationships
  • 2. Define tables and table schemas
  • 3. Determine the appropriate granularity
  • 4. Design a star schema or snowflake schema
  • 5. Implement row-level security
  • 6. Apply field metadata and groupings
Topic 4: Prepare the Data10-15%- Get data from various data sources
  • 1. Select a shared dataset or create a local copy
  • 2. Configure dataset refresh
  • 3. Choose between DirectQuery, Import, and Dual storage modes
  • 4. Use Microsoft Fabric and OneLake
  • 5. Identify and connect to a data source
  • 6. Change data source settings
- Clean, transform, and load the data
  • 1. Identify the data structure
  • 2. Determine proper data types
  • 3. Apply user-friendly naming conventions to columns and tables
  • 4. Design and build intermediate tables
  • 5. Resolve data quality issues
  • 6. Configure data loading and queries
  • 7. Profile the data
Topic 5: Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Create custom visuals
  • 2. Configure R and Python visuals
  • 3. Integrate Microsoft Copilot for Power BI
  • 4. Use dynamic page navigation
- Enhance reports for user experience
  • 1. Design for mobile and specific layouts
  • 2. Add tooltips and navigation
  • 3. Apply artistic formatting to visuals
  • 4. Add accessibility features and compliance
- Build visuals
  • 1. Determine the appropriate visual type
  • 2. Apply AI insights and enhanced analytics
  • 3. Format and configure pages and report backgrounds
  • 4. Apply sorting and filtering to visuals
  • 5. Configure visual interactions and cross-filtering
  • 6. Configure data colors and shapes

Microsoft Power BI Data Analyst (PL-300日本語版) Sample Questions:

Question #1

Power BI モデルとレポートを作成しています。
データモードには、Product という名前の単一のテーブルがあります。Product には次のフィールドが含まれています。
ID
; 名前
; 色
; カテゴリー
総売上高
総売上高が最も高い上位8製品のみを表示する計算表を作成する必要があります。
DAX式をどのように完成させるべきですか?回答するには、適切な値を円錐形のターゲットにドラッグしてください。
各値は、1回だけ使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要がある場合があります。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

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. The key constraint is to create a calculated table that shows only the top eight products based on the highest value in Total Sales. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Create calculated tables or columns " . A measure would not create the persistent row-level field or table needed for sorting, categorization, relationships, or reuse in the model. 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/dax/ | PL-300 objective: " Create calculated tables or columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study- guides/pl-300

Question #2

注:この問題は、同じシナリオを提示する一連の問題の一部です。便宜上、シナリオは各問題で繰り返されます。各問題では目標と選択肢が異なりますが、シナリオの文章はシリーズ全体で全く同じです。
繰り返しシナリオの開始
Microsoft SQL Server データベースがあり、データベース図の図に示されているテーブルが含まれています。(図をクリックしてください。)

Power BI モデル図(図をクリックしてください)に示されているような Power BI モデルを開発する予定です。

Power BIを使用して、2013年から2015年までのデータをインポートする予定です。
製品サブカテゴリ[Subcategory]にはNULL値が含まれています。
繰り返しのシナリオ終了。
Power BIモデルを実装します。
商品サブカテゴリテーブルに、以下の数式を使用する新しい列を追加する必要があります。
=if [Subcategory] ​​=null then "NA" else [Subcategory]
クエリ エディターではどのコマンドを使用すればよいですか?

  • A. 例からのコラム
  • B. 条件付き列
  • C. カスタム関数を呼び出す
  • D. カスタム列
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

あなたは、以下の図に示すようなグラフを作成する予定です。

表示されている期間における日々の売上高の40パーセンタイルを示す点線の水平線は、どのように作成すればよいでしょうか?

  • A. 次の DAX 式を使用するメジャーをビジュアルに追加します。メジャー - PERCENTUEX.EXC (Sales,Sales[Total Sales],.40)
  • B. 固定値24,000の水平線を作成します。
  • C. 総売上高を指標とし、40%をパーセンタイルとする新しいパーセンタイル線を追加します。
  • D. 次の DAX 式を使用するメジャーをビジュアルに追加します。Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

ワークスペースにメンバーを追加する機能をユーザーに提供する必要があります。ソリューションは、最小特権の原則を使用する必要があります。
ユーザーにどの役割を割り当てる必要がありますか?

  • A. ビューア
  • B. メンバー
  • C. 管理者
  • D. 寄稿者
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

既存の環境データに関する懸念に対処するために、どのような対策を講じるべきでしょうか?

  • A. 次の式を使用するメジャー:SUM(Sales[sales_amount])
  • B. 次の数式を使用するメジャー: SUMX(FILTER( ' Sales ' , ' Sales ' [sales_amount] > 0)),
    [売上金額]
  • C. 次の数式を使用する計算列: IF(ISBLANK(Sales[sales_amount]),0, (Sales
    [売上金額] ))
  • D. 以下の数式を使用する計算列:ABS(Sales[sales_amount])
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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