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

Microsoft PL-300日本語 Actual PDF
  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Oct 16, 2026
  • Q & A: 472 Questions and Answers
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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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

                                                                                  Question #1

                                                                                  注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
                                                                                  このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
                                                                                  MicrosoftExcelデータソースのファイル名と場所を保持するDataSourceExcelという名前のパラメータを作成します。
                                                                                  各クエリ定義内の場所の複数のハードコードされたコピーではなく、パラメータを参照するようにクエリを更新する必要があります。
                                                                                  解決策：PowerAppsカスタムビジュアルをレポートに追加します。
                                                                                  これは目標を達成していますか？

                                                                                  • A. はい
                                                                                  • B. いいえ
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

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

                                                                                  Question #2

                                                                                  ユーザーからの苦情を含むCSVファイルがあります。このファイルには「Logged」という名前の列があります。「Logged」には、各苦情が発生した日時が含まれています。「Logged」のデータは次の形式です: 2018-12-
                                                                                  31日午前8時59分。苦情を記録された日付で分析し、組み込みの日付階層を使用できる必要があります。どうすればよいですか？

                                                                                  • A. 変換を適用して Logged 列の最後の 11 文字を抽出し、新しい列のデータ型を Date に設定します。
                                                                                  • B. Logged列の最初の11文字を抽出する変換を適用します。
                                                                                  • C. 区切り文字として at を使用して Logged 列を分割します。
                                                                                  • D. 例として、2018-12-31から始まる列を作成します。
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

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

                                                                                  Question #3

                                                                                  Power BI の単一ページレポートを作成しています。
                                                                                  レポートを操作するユーザーの中にはキーボードを使用するユーザーもいれば、スクリーンリーダーを使用するユーザーもいます。ユーザーがレポートページのコンテンツを論理的な順序で閲覧できるようにする必要があります。レポートページではどのような設定を行うべきでしょうか？

                                                                                  • A. ブックマークの順序
                                                                                  • B. X位置
                                                                                  • C. 層の順序
                                                                                  • D. タブの順序
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

                                                                                  Question #4

                                                                                  「Inventory」という名前のPower BIワークスペースがあり、その中にセマンティックモデル、レポート、ダッシュボードが含まれています。
                                                                                  ダッシュボードにタイルを追加する必要があります。そのタイルには、場所別の在庫状況を表示する必要があります。この情報はレポートには表示されません。解決策は、レポートへの影響を最小限に抑える必要があります。
                                                                                  どの2つの行動をとるべきでしょうか？それぞれの正解は、解決策の一部を示しています。
                                                                                  注：正解ごとに1ポイントが加算されます。

                                                                                  • A. ビジュアルをダッシュ​​ボードに固定します。
                                                                                  • B. Q&Aを使って質問をしてください。
                                                                                  • C. ダッシュボードのクイックインサイトを活用してください。
                                                                                  • D. レポートに画像を追加します。
                                                                                  • E. レポートページを非表示にする。
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A,B  🗳️

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

                                                                                  Question #5

                                                                                  Power Queryエディターを使用してデータのプロファイリングを行っています。
                                                                                  列名が column1 のテーブルがあります。column1 の列統計と値の分布を次の図に示します。

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  Column profile and column distribution expose value frequency, distinct and unique counts, errors, empty values, and statistics for the selected field. Those diagnostics answer a data-quality question without changing the source values. Use the selections preserved in the answer exhibit as the supported configuration. What determines the answer is the need to interpret the Column statistics and Value distribution shown for Column1. A transformation that replaces, removes, or filters values would change the data before the analyst has quantified the problem; profiling is the diagnostic step. This rationale is anchored to the PL-300 objective
                                                                                  " Evaluate data, including data statistics and column properties " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/data-profiling-tools | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.
                                                                                  microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

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