Microsoft DP-900 exam consists of 40-60 questions and has a time limit of 60 minutes. The questions are presented in multiple-choice format and are designed to test the candidate's knowledge and understanding of the subject matter. DP-900-Deutsch exam is available in several languages and can be taken online or in-person at a testing center.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 exam is a great stepping stone for individuals who want to pursue higher-level Azure data certifications, such as the Microsoft Certified: Azure Data Scientist Associate or the Microsoft Certified: Azure Data Engineer Associate. By passing DP-900-Deutsch exam, candidates can demonstrate their foundational knowledge of Azure data services and validate their skills to potential employers. Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification is also a great way for individuals to stand out in a competitive job market and increase their earning potential.
Microsoft DP-900 Practice Test Questions, Microsoft DP-900 Exam Practice Test Questions
The Microsoft DP-900 exam is a qualifying test for obtaining the Microsoft Certified: Azure Data Fundamentals certification. This exam is intended for the entry-level professionals looking to take up a career path in the IT field. Although it is not a requirement for any advanced-level certificate, the DP-900: Microsoft Azure Data Fundamentals test is a great foundation to prepare the individuals for other Azure role-based options. Thus, the certified candidates can pursue two certifications: Azure Data Engineer Associate or Azure Database Administrator Associate.
The DP-900 certification exam covers a wide range of topics related to data management in the cloud, including data storage options, data processing, data security and compliance, and much more. With this certification, you will be able to demonstrate your understanding of these concepts and how they can be applied to real-world scenarios.
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|
| Topic 2: Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Topic 3: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 4: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
