Microsoft DP-900 exam is a great way for individuals to demonstrate their knowledge and skills in working with data on the Azure platform. By passing DP-900-Deutsch exam, individuals can gain a valuable certification that can help them stand out in the job market and increase their earning potential. Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification can also help individuals to advance their career by providing them with the necessary knowledge and skills to work with data in the cloud environment.
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The Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification exam also covers the various tools and services available in Azure for data management, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Candidates are expected to have a solid understanding of these tools and services, including their features, functions, and benefits. Overall, the DP-900 certification exam is a great way for individuals to gain a fundamental understanding of data management in the Azure cloud environment and validate their skills and knowledge in this area.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 exam is a 60-minute exam that consists of 40-60 multiple-choice questions. DP-900-Deutsch exam can be taken online or in-person at a testing center. The passing score for the exam is 700 out of 1000. DP-900-Deutsch exam fee is $99, and it can be taken in multiple languages, including English, Chinese, German, Japanese, and Spanish.
Microsoft DP-900 certification exam, also known as the Microsoft Azure Data Fundamentals exam, is an entry-level certification exam designed for individuals who are interested in learning about the basics of data concepts and how they are implemented in Microsoft Azure. DP-900-Deutsch exam is an excellent starting point for those who are new to the world of data and want to pursue a career in data science or data engineering.
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Describe core data concepts | 25-30% | - Identify options for data storage
|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|






