Microsoft DP-900 certification exam is an excellent way for professionals to showcase their expertise in Azure Data services. Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification provides a competitive edge to professionals by validating their knowledge and skills in data services. Moreover, holding this certification can help professionals advance their careers by increasing their visibility and credibility in the job market.
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Microsoft DP-900 exam is designed to test the foundational knowledge of candidates in the field of data management and data analytics on the Azure cloud platform. DP-900-Deutsch exam is intended for individuals who are interested in pursuing a career in data science or cloud computing, and for those who are already working in these fields but want to validate their knowledge and skills. The Microsoft DP-900 exam covers topics such as the basic concepts of cloud computing, data storage options on Azure, and foundational data analytics concepts.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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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.
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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 concepts
|
| Topic 2: Describe an analytics workload on Azure | 25-30% | - Describe analytics concepts
|
| Topic 3: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
| Topic 4: Describe core data concepts | 25-30% | - Identify options for data storage
|
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