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Microsoft DP-900-Deutsch guide torrent - Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

Updated: Sep 08, 2026

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DP-900 Deutsch guide torrent
  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

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How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

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Microsoft Azure Data Fundamentals Exam Certification Details:

Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Exam Price$99 (USD)
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Duration60 mins
Exam CodeDP-900
Number of Questions40-60
Schedule ExamPearson VUE
Exam NameMicrosoft Certified - Azure Data Fundamentals
Passing Score700 / 1000

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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