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


"Microsoft Azure Data Fundamentals (DP-900日本語版)", also known as DP-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 332 Q&As to your DP-900 Exam preparation. In the DP-900 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Fundamentals Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Total Questions: 332

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Who should take the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

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

Skills measured

  • Describe core data concepts (15-20%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)
  • Describe an analytics workload on Azure (25-30%)

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
- Describe relational Azure data services
  • 1. Describe Azure Database for MySQL
  • 2. Describe Azure SQL Database
  • 3. Describe SQL Server on Azure Virtual Machines
  • 4. Describe Azure SQL Managed Instance
  • 5. Describe Azure SQL family of products
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe Azure Database for MariaDB
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 Cosmos DB
  • 3. Describe Azure Table storage
  • 4. Describe Azure File storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
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 Azure data analytics services
  • 1. Describe Azure Data Factory
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Stream Analytics
  • 4. Describe Azure Databricks
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure HDInsight
- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe ETL and ELT processes
  • 3. Describe analytical workloads
  • 4. Describe transactional workloads
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 structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data

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