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Workload analytics on Azure
- Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
- Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
- Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
- Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Exam DP-900: Microsoft Azure Data Fundamentals
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.
Part of the requirements for: Microsoft Certified: Azure Data Fundamentals
How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
- Step 2: Sign up/log in to the Pearson VUE account
- Step 3: Select a local center based on your country, date, time and confirm with a payment method.
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Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Relational Data in Azure | 20-25% | - Azure relational data services
- Querying relational data |
| Topic 2: Analytics Workloads in Azure | 25-30% | - Data analytics concepts - Data visualization and reporting - Data ingestion and processing - Azure analytics services
|
| Topic 3: Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Types of core data workloads - Relational vs non-relational data - Data analytics workloads overview |
| Topic 4: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Azure storage services
|
Microsoft Azure Data Fundamentals (DP-900日本語版) Sample Questions:
顧客データと注文データを組み合わせるSQLクエリがあります。このクエリには計算列が含まれています。
他のユーザーが同じ SQL クエリを再実行できるようにするデータベース オブジェクトを作成する必要があります。
何を創造すべきでしょうか?
- A. インデックス
- B. ビュー
- C. テーブル
- D. スカラー関数
Correct Answer: B 🗳️
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: Yes
Compute is separate from storage, which enables you to scale compute independently of the data in your system.
Box 2: Yes
You can use the Azure portal to pause and resume the dedicated SQL pool compute resources.
Pausing the data warehouse pauses compute. If your data warehouse was paused for the entire hour, you will not be charged compute during that hour.
Box 3: No
Storage is sold in 1 TB allocations. If you grow beyond 1 TB of storage, your storage account will automatically grow to 2 TBs.
Reference:
https://azure.microsoft.com/en-us/pricing/details/synapse-analytics/
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:


Reference:
https://docs.microsoft.com/en-us/sql/big-data-cluster/connect-to-big-data-cluster?view=sql-server-ver15
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-query-ssms
https://docs.microsoft.com/en-us/azure/mariadb/connect-workbench
Azure Data Factoryのどのコンポーネントを使用すると、各イテレーターを含む一連のアクティビティを定義できますか?
- A. 統合ランタイム
- B. 制御フロー
- C. データセット
- D. リンクされたサービス
Correct Answer: B 🗳️
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