Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版) : DP-600日本語
- Exam Code: DP-600日本語
- Exam Name: Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版)
- Updated: Oct 12, 2026
- Q & A: 212 Questions and Answers
About Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版) : DP-600日本語 Exam
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Microsoft DP-600日本語 Exam Syllabus Topics:
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600
Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600日本語版) Sample Questions:
AnalyticsPOCワークスペースにおけるデータロード処理が適切な順序で実行されるようにする必要があります。ソリューションは技術要件を満たさなければなりません。
あなたはどうすべきですか？
- A. アクティビティ間に依存関係を持つパイプラインを作成し、パイプラインをスケジュールします。
- B. Sparkジョブ定義を作成してスケジュールします。
- C. 複数のステップを持つデータフローを作成し、データフローをスケジュールします。
- D. Sparkノートブックを作成してスケジュールします。
Correct Answer: A 🗳️
Explanation: Only visible for Free4Torrent members. You can sign-up / login (it's free).
Fabricの倉庫には、DimDateとTripsという名前の2つのテーブルが含まれています。
DimDateには以下のフィールドが含まれます。
旅行情報には以下の項目が含まれます。
法定休日と非法定休日の1回あたりの平均走行距離を比較する必要があります。
T-SQLステートメントをどのように完成させるべきですか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
Step 1: Requirement
We need to compare the average miles per trip for:
Statutory holidays (when IsHoliday = 1)
Non-statutory holidays (when IsHoliday = 0)
Step 2: Formula for average miles per trip
Average miles per trip = total miles ÷ number of trips
Total miles # SUM(t.tripDistance)
Number of trips # COUNT(t.tripID)
So the calculation is:
(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip
Step 3: Grouping
We need a comparison by holiday status.
So we must group the results by:
GROUP BY d.IsHoliday
This ensures we get two rows: one for IsHoliday = 1 and one for IsHoliday = 0.
Step 4: Final Query
SELECT
d.IsHoliday,
(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip
FROM DimDate d
INNER JOIN Trips t ON d.DateID = t.DateID
GROUP BY d.IsHoliday;
Why This is Correct
The formula ensures average miles per trip.
Grouping ensures comparison between holidays vs non-holidays.
Efficient aggregation, minimal computation.
References
Aggregate functions in T-SQL
GROUP BY clause
データ パイプラインを含むファブリック テナントがあります。
パイプラインが月曜日と金曜日に 4 時間ごとに実行されるようにする必要があります。
スケジュールのリピートを何に設定すればよいですか?
- A. 毎週
- B. 毎分
- C. 毎時
- D. 毎日
Correct Answer: A 🗳️
Explanation: Only visible for Free4Torrent members. You can sign-up / login (it's free).
Workspace1 という名前の Fabric ワークスペースと storage " ! という名前の Azure Data Lake Storage Gen2 アカウントがあります。Workspace1 には Lakehouse1 という名前の湖畔の家が含まれています。
Lakehouse1 にストレージへのショートカットを作成する必要があります。
どの接続とエンドポイントを指定すればよいですか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
When creating a shortcut to an Azure Data Lake Storage Gen2 account in a lakehouse, you should use the abfss (Azure Blob File System Secure) connection string and the dfs (Data Lake File System) endpoint. The abfss is used for secure access to Azure Data Lake Storage, and the dfs endpoint indicates that the Data Lake Storage Gen2 capabilities are to be used.
あなたはFabricテナントを所有しています。
次の表に示すユーザーに対して、OneLakeのセキュリティ設定を行う必要があります。
解決策は最小権限の原則に従わなければならない。
各ユーザーにどの権限を割り当てるべきですか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
You need to configure OneLake security for two users with the following requirements:
User1: Read all the Spark data
User2: Read all the SQL endpoint data
The available permissions are: Read, ReadAll, and ReadData.
Understanding the permissions:
Read # Grants access to metadata but not the data itself.
ReadData # Grants access to query data through SQL endpoints (SQL-based access).
ReadAll # Grants access to read data across all engines (including Spark and SQL endpoints).
Applying least privilege principle:
User1 (Spark access): Needs to read all the Spark data # Assign ReadAll because Spark requires this permission to access data in OneLake.
User2 (SQL endpoint access): Needs to read SQL endpoint data only # Assign ReadData, as this grants access to SQL endpoints without over-provisioning Spark access.
Final Answer:
User1: ReadAll
User2: ReadData
References:
Microsoft Fabric OneLake permissions
Fabric Lakehouse & SQL Endpoint security
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