Microsoft Azure Data Fundamentals (DP-900日本語版) : DP-900日本語

  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 23, 2026     Q & A: 332 Questions and Answers

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The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe data warehousing
  • 3. Describe ETL and ELT processes
  • 4. Describe analytical workloads
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI
  • 3. Describe Power BI reports and dashboards
- Describe Azure data analytics services
  • 1. Describe Microsoft Fabric
  • 2. Describe Azure HDInsight
  • 3. Describe Azure Data Factory
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure Databricks
  • 6. Describe Azure Synapse Analytics
Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Blob storage
  • 2. Describe Azure File storage
  • 3. Describe Azure Table storage
  • 4. Describe Azure Cosmos DB
- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data
- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MariaDB
  • 2. Describe Azure SQL Database
  • 3. Describe Azure Database for PostgreSQL
  • 4. Describe Azure SQL family of products
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe SQL Server on Azure Virtual Machines
  • 7. Describe Azure Database for MySQL
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization

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