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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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| Schedule Exam | Pearson VUE |
| Exam Code | DP-900 |
| Exam Price | $99 (USD) |
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
| Duration | 60 mins |
| Number of Questions | 40-60 |
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Passing Score | 700 / 1000 |
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in
| Section | Weight | Objectives |
|---|---|---|
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
| Analytics Workloads in Azure | 25-30% | - Data analytics concepts - Data ingestion and processing - Data visualization and reporting - Azure analytics services
|
| Core Data Concepts | 25-30% | - Types of core data workloads - Relational vs non-relational data - Roles and responsibilities in data work - Data analytics workloads overview |
| Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|
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