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Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.
Highly similar to the real exam
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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
What job roles can you pursue after passing the Microsoft DP-900 exam?
Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 2: Analytics Workloads in Azure | 25-30% | - Data analytics concepts - Azure analytics services
- Data ingestion and processing |
| Topic 3: Core Data Concepts | 25-30% | - Data analytics workloads overview - Types of core data workloads - Roles and responsibilities in data work - Relational vs non-relational data |
| Topic 4: Non-Relational Data in Azure | 15-20% | - Azure storage services
- Non-relational data concepts |








