Microsoft DP-900日本語 dumps - in .pdf

DP-900日本語 pdf
  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Sep 28, 2026
  • Q & A: 332 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Sep 28, 2026
  • Q & A: 332 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft DP-900日本語 dumps - Testing Engine

DP-900日本語 Testing Engine
  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Sep 28, 2026
  • Q & A: 332 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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

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To pass the DP-900 exam, candidates need to have a good understanding of the core concepts of data storage, processing, and security. They also need to be familiar with the Azure services and tools that are used for data management and processing. DP-900J exam consists of multiple-choice questions and is designed to be completed within 60 minutes.

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 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
Topic 2: 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 File storage
  • 4. Describe Azure Table storage
- 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 Azure data analytics services
  • 1. Describe Microsoft Fabric
  • 2. Describe Azure HDInsight
  • 3. Describe Azure Databricks
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Data Factory
- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe data warehousing
  • 3. Describe analytical workloads
  • 4. Describe ETL and ELT processes
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI reports and dashboards
  • 2. Describe Power BI tools and workflow
  • 3. Describe Power BI
Topic 4: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
- Describe relational Azure data services
  • 1. Describe Azure SQL Managed Instance
  • 2. Describe Azure Database for MariaDB
  • 3. Describe SQL Server on Azure Virtual Machines
  • 4. Describe Azure Database for MySQL
  • 5. Describe Azure SQL Database
  • 6. Describe Azure SQL family of products
  • 7. Describe Azure Database for PostgreSQL

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