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Microsoft DP-900日本語 valid exam - in .pdf Free Demo

  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Last Updated: Aug 15, 2026
  • Q & A: 332 Questions and Answers
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  • PDF Price: $69.98    

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  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Last Updated: Aug 15, 2026
  • Q & A: 332 Questions and Answers
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Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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

Microsoft DP-900 certification exam is an excellent opportunity for individuals who are looking to enhance their knowledge in Azure data services. DP-900J exam covers a range of topics related to data management, analytics, and security, and is designed to test the candidate's knowledge of fundamental concepts and services associated with Azure data services. Microsoft Azure Data Fundamentals (DP-900日本語版) certification is an excellent way to demonstrate to potential employers that you have the skills and knowledge required to work with Azure data services.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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