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Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.
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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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 2: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|
| Topic 3: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Topic 4: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|



