Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) : DP-900 Deutsch

  • Exam Code: Microsoft
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 24, 2026
  • Q & A: 332 Questions and Answers

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About Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) : Microsoft Exam

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

What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
  • Length of Examination: 50 mins
  • Passing score: 700 / 1000
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Language: English
  • Type of Questions: This test format is multiple choice.
  • This is the beta exam, would be available on or around March 31, 2020.

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

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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%
  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.
  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
Microsoft DP-900 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
- Describe non-relational Azure data services
  • 1. Describe Azure Blob storage
  • 2. Describe Azure Table storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure File storage
Topic 2: 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 Data Factory
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Stream Analytics
- 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 analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe transactional workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe data warehousing
Topic 3: 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 semi-structured data
  • 3. Describe features of unstructured data
Topic 4: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe SQL Server on Azure Virtual Machines
  • 2. Describe Azure SQL Database
  • 3. Describe Azure Database for MySQL
  • 4. Describe Azure Database for PostgreSQL
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe Azure Database for MariaDB
  • 7. Describe Azure SQL family of products
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data

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