Microsoft DP-900 Deutsch dumps - in .pdf

DP-900 Deutsch pdf
  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 04, 2026
  • Q & A: 320 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 04, 2026
  • Q & A: 320 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 Deutsch dumps - Testing Engine

DP-900 Deutsch Testing Engine
  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 04, 2026
  • Q & A: 320 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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