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

DP-900日本語 Exam Questions
  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 19, 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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Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is not a very difficult certification exam. The general IT certification exams are harder to take than this exam. Helps one to get into IT field easily. Providing an opportunity to work with Microsoft Azure cloud solutions. Share or reuse data, information, services and applications between on-premises deployments and the cloud. Reach new heights with on-premises and cloud solutions. Microsoft Azure Data Fundamentals Certification Exam is looking for the candidates looking at Microsoft Azure certification. Remember, this certification has been developed by the Microsoft to provide job opportunities for you. Meaning, if you are ready to learn, you will definitely get the job. It is the most important exam for the professionals. The Microsoft DP-900 exam covers all about data engineering, development, security and management. Oltp is a vendor neutral exam. They have developed the 4 core knowledge areas i.e., data engineering, development, security and management. Tasks covered in the DP-900 exam including the designing and implementing secure data solutions, designing, organizing and analyzing data etc. Build infrastructure delivering advanced data solutions with advanced storage, processing, and analysis. Data Virtualization helps to abstract data in cloud-based infrastructure. Updated Microsoft DP-900 exam is a complete exam guide that helps you to build, implement and manage data solutions using the various components of Azure Data platform. Microsoft DP-900 exam dumps provide you 100% pass guarantee. Passing the DP-900 exam is not very difficult. DP-900 test questions are prepared by industry experts.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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