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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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 certification exam is an excellent opportunity for individuals who are looking to enhance their knowledge in Azure data services. DP-900J exam covers a range of topics related to data management, analytics, and security, and is designed to test the candidate's knowledge of fundamental concepts and services associated with Azure data services. Microsoft Azure Data Fundamentals (DP-900日本語版) certification is an excellent way to demonstrate to potential employers that you have the skills and knowledge required to work with Azure data services.
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Microsoft DP-900日本語 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: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
| Topic 4: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
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