Exam Code: DP-900-Deutsch
Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
Updated: Oct 23, 2026
Q & A: 340 Questions and Answers
DP-900 Deutsch Free Demo download
Microsoft DP-900 certification exam is designed to test a candidate's knowledge of basic data concepts and how they apply to Microsoft Azure. DP-900-Deutsch exam is intended for individuals who are interested in pursuing a career in data science or data analysis using Microsoft Azure. DP-900-Deutsch exam is focused on the fundamentals of data storage, processing, and management in the cloud.
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Microsoft DP-900 (Microsoft Azure Data Fundamentals) certification exam is a globally recognized certification that validates one’s knowledge of cloud data services offered by Microsoft Azure. DP-900-Deutsch exam is designed for individuals who have a basic understanding of data concepts and are seeking to demonstrate their foundational skills in cloud data services. Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification exam is a great way to showcase your expertise in managing data in the cloud and can help you stand out in the job market.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
To pass the DP-900 certification exam, candidates must demonstrate their knowledge of various data services in the cloud, including Azure data storage options, data processing technologies, and data security solutions. DP-900-Deutsch exam consists of multiple-choice questions that test the candidate's understanding of these concepts. Candidates who pass the exam will receive the DP-900 certification, which is a valuable credential that demonstrates their expertise in cloud-based data management.
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The DP-900 certification exam is a standalone certification, but it can also be used to progress towards higher-level Azure certifications such as the Azure Data Engineer Associate and Azure AI Engineer Associate certifications. Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification is also a great starting point for individuals who want to pursue a career in cloud data management.
| Section | Weight | Objectives |
|---|---|---|
| Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Relational vs non-relational data - Types of core data workloads - Data analytics workloads overview |
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
| Analytics Workloads in Azure | 25-30% | - Data analytics concepts - Data visualization and reporting - Azure analytics services
|
| Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|
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Reference:
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