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Valuable exams are hard exams, and retakes cost money. Preparing properly the first time is simply good economics: ValidBraindumps's DP-900日本語 question bank covers the Microsoft Azure Data Fundamentals (DP-900日本語版) objectives with expert-verified answers, so your registration fee buys one attempt, well prepared.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Number: | DP-900 |
| Real Exam Qty: | 40-60 |
| Exam Price: | 99 USD (varies by country/region) |
| Available Languages: | Chinese (Simplified), Italian, Korean, Portuguese (Brazil), French, English, Japanese, German, Spanish |
| Related Certifications: | Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Data Engineer Associate |
| Exam Format: | Multiple choice, Case-based questions, Multiple select, Drag and drop |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | Does not expire (Fundamentals certification currently does not require renewal) |
| Recommended Training: | Azure Data Fundamentals Course Microsoft Learn DP-900 Learning Path |
| Exam Registration: | Microsoft Learn Certification Page Pearson VUE Registration Portal |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored exam via Pearson VUE or in-person test center |
| Pre Condition: | No prerequisites required; intended for beginners in data concepts and Azure services. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-data-fundamentals/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Relational Data in Azure | 20-25% | - Querying relational data - Relational data concepts - Azure relational data services
|
| Topic 2: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Non-relational data concepts - Azure storage services
|
| Topic 3: Core Data Concepts | 25-30% | - Relational vs non-relational data - Data analytics workloads overview - Roles and responsibilities in data work - Types of core data workloads |
| Topic 4: Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data analytics concepts - Data visualization and reporting |
At present, the DP-900日本語 exam's passing score is 700 (out of 1000), and registration costs 99 USD (varies by country/region). Since failing means registering again at full price, thorough preparation is the economical choice — and Microsoft can revise both figures, so confirm them officially before booking.
The Microsoft Azure Data Fundamentals (DP-900日本語版) blueprint is built around these main domains:
Additional domains appear in the full official outline — our bank covers them all.
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Microsoft publishes these prerequisites for the Microsoft Azure Data Fundamentals (DP-900日本語版): No prerequisites required; intended for beginners in data concepts and Azure services..
Verify the current requirements on the official certification page.
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会社のコンプライアンス要件を満たすには、データをAzureBlobストレージに7年間保存する必要があります。データの取得時間は重要ではありません。このソリューションでは、ストレージコストを最小限に抑える必要があります。
どのストレージ階層を使用する必要がありますか?
Correct Answer: C 🗳️
以下の各記述について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」を選択してください。注:正しい選択肢は1つにつき1点です。
Correct Answer:

Explanation:
Box 1: No
You can duplicate a dashboard. The duplicate ends up in the same Power BI workspace.
There is no current functionality that allows you to move reports from one workspace to another.
Box 2: No
Box 3: Yes
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-datasets-across-workspaces
https://docs.microsoft.com/en-us/power-bi/consumer/end-user-dashboardshttps://powerbi.microsoft.com/en-us
/excel-and-power-bi/
ビジネス上の質問に答えるために使用できる分析の種類を一致させます。
回答するには、左側の列から適切な分析タイプを右側の質問にドラッグしてください。各分析タイプは、1回、複数回、または全く使用されない場合があります。
注意: 正解ごとに 1 ポイントが加算されます。
Correct Answer:

Explanation:
Box 1: Diagnostic
Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be measured against other data to answer the question of why something happened in the past. This is the process of gathering and interpreting different data sets to identify anomalies, detect patters, and determine relationships.
Box 2: Prescriptive
Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence future desired outcomes.
Box 3: Cognitive
Reference:
https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/
https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/
職務を適切なタスクに一致させます。
回答するには、左側の列から適切な職務を右側のタスクにドラッグします。各役割は、1 回、複数回、またはまったく使用されない場合があります。
注意: 正解ごとに 1 ポイントが加算されます。
Correct Answer:


文を正しく完成させる答えを選択してください。
Reveal Solution Discussion 0Correct Answer:
See the answer below:
Explanation:
Answer as below.
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