- Exam Code: DP-900J
- Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
- Updated: Aug 17, 2026
- Q & A: 332 Questions and Answers
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.
The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.
This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.
The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Topic 2: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Topic 3: Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Topic 4: Describe core data concepts | 25-30% | - Describe ways to represent data
|
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