Microsoft DP-600日本語 : Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版)

  • Exam Code: DP-600J
  • Exam Name: Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版)
  • Updated: Oct 17, 2026
  • Q & A: 212 Questions and Answers

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Microsoft DP-600日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Maintain a data analytics solution: This section of the exam measures the skills of administrators and covers tasks related to enforcing security and managing the Power BI environment. It involves setting up access controls at both workspace and item levels, ensuring appropriate permissions for users and groups. Row-level, column-level, object-level, and file-level access controls are also included, alongside the application of sensitivity labels to classify data securely. This section also tests the ability to endorse Power BI items for organizational use and oversee the complete development lifecycle of analytics assets by configuring version control, managing Power BI Desktop projects, setting up deployment pipelines, assessing downstream impacts from various data assets, and handling semantic model deployments using XMLA endpoint. Reusable asset management is also a part of this domain.
Topic 2
  • Implement and manage semantic models: This section of the exam measures the skills of architects and focuses on designing and optimizing semantic models to support enterprise-scale analytics. It evaluates understanding of storage modes and implementing star schemas and complex relationships, such as bridge tables and many-to-many joins. Architects must write DAX-based calculations using variables, iterators, and filtering techniques. The use of calculation groups, dynamic format strings, and field parameters is included. The section also includes configuring large semantic models and designing composite models. For optimization, candidates are expected to improve report visual and DAX performance, configure Direct Lake behaviors, and implement incremental refresh strategies effectively.
Topic 3
  • Prepare data: This section of the exam measures the skills of engineers and covers essential data preparation tasks. It includes establishing data connections and discovering sources through tools like the OneLake data hub and the real-time hub. Candidates must demonstrate knowledge of selecting the appropriate storage type—lakehouse, warehouse, or eventhouse—depending on the use case. It also includes implementing OneLake integrations with Eventhouse and semantic models. The transformation part involves creating views, stored procedures, and functions, as well as enriching, merging, denormalizing, and aggregating data. Engineers are also expected to handle data quality issues like duplicates, missing values, and nulls, along with converting data types and filtering. Furthermore, querying and analyzing data using tools like SQL, KQL, and the Visual Query Editor is tested in this domain.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版) Sample Questions:

Question #1

「Model 1」という名前のセマンティックモデルがあります。Model 1には、すべてインポートモードを使用する5つのテーブルが含まれています。Model1には、「HR」という名前の動的な行レベルセキュリティ(RLS)ロールが含まれています。HRロールは従業員データをフィルタリングし、人事マネージャーが割り当てられた部門のデータのみを表示できるようにします。
Model1をFabricテナントに公開し、RLSロールメンバーシップを設定します。モデルと関連レポートをユーザーと共有します。
人事部長は、報告書に記載されているデータが不完全であると報告している。
人事部長が閲覧したデータの妥当性を検証するために、あなたは何をすべきですか？

  • A. 人事部長に、Microsoft Power BI Desktop でレポートを開くように依頼してください。
  • B. レポート内のデータを、人事部のフィルターの意図したロジックに一致するようにフィルタリングします。
  • C. 役割として「テスト」を選択すると、人事マネージャーとしてレポートが表示されます。
  • D. 人事担当者としてデータを表示するには、役割として「テスト」を選択してください。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Fabric の Warehouse には Warehousel という名前で、その中に Table というテーブルがあります。Tablel には顧客データが含まれています。
Tablel に対して行レベルセキュリティ (RLS) を実装する必要があります。このソリューションでは、ユーザーが自分のデータのみを閲覧できるようにする必要があります。
どの2つのオブジェクトを作成すべきでしょうか？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. データベースロール
  • B. セキュリティポリシー
  • C. 制約
  • D. 機能
  • E. ストアドプロシージャ
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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Question #3

あなたは、bucketl という名前の Amazon Simple Storage Service (Amazon S3) バケットを含む Amazon Web Services (AWS) サブスクリプションを所有しています。
あなたはLH1という名前の湖畔の家を含むFabricテナントを持っています。
LH1では、bucketlへのOneLakeショートカットを作成する予定です。
接続の認証を設定する必要があります。
どの2つの値を入力すればよいですか？それぞれの正解は、解答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. 証明書の指紋
  • B. アクセスID
  • C. 秘密のアクセスキー
  • D. アクセスキーID
  • E. 共有アクセス署名(SAS)トークン
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Correct Answer: C,D  🗳️

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Question #4

研究部門のワークスペースをグループ化するための解決策を提案する必要があります。
推薦状には何を含めるべきでしょうか？回答するには、回答欄で適切な選択肢を選んでください。
注：正解ごとに1ポイントが加算されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
The requirement is to logically group the Research division workspaces and support filtering in the OneLake data hub.
Why Domain?
Microsoft Fabric allows you to assign workspace domains (e.g., Finance, HR, Research).
This provides a logical grouping of workspaces within the organization.
Domains are the only supported way to enable filtering in OneLake data hub by department.
Capacity or tenant grouping would not allow filtering by department in OneLake.
Why OneLake data hub?
The OneLake data hub is the centralized interface to browse and discover data assets across the organization.
With workspace domains configured, users can filter directly in the OneLake data hub by domain (e.g.,
"Research").
The Fabric Admin portal and Entra admin center are used for administration, not for workspace filtering in data discovery.
Correct Selection for the Hotspot
Grouping method: Domain
Tool: OneLake data hub
References
Workspace domains in Microsoft Fabric
Discover and filter data in OneLake data hub
Final Answer:
Grouping method = Domain
Tool = OneLake data hub

Question #5

AnatyticsPOCワークスペースのデータストアに顧客データを取り込むには、どのようなツールを使用することをお勧めしますか？

  • A. Sparkノートブック
  • B. ストアドプロシージャ
  • C. データフロー
  • D. KQLアクティビティを含むパイプライン
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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