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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: Microsoft Azure Data Fundamentals Exam Certified Professional salary
The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in
- United States - 80,000 USD
- Europe - 60,547 EURO
- England - 60,532 POUNDS
- India - 12,10,327 INR
Explain Analytics Workloads on Azure: 25-30%
- Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
- Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
- Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
- Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
Helpful Training Course for Acing DP-900
To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Non-Relational Data in Azure | 15-20% | - Azure storage services
- Data processing options for non-relational data |
| Core Data Concepts | 25-30% | - Relational vs non-relational data - Data analytics workloads overview - Roles and responsibilities in data work - Types of core data workloads |
| Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data analytics concepts - Data visualization and reporting |
| Relational Data in Azure | 20-25% | - Azure relational data services
- Relational data concepts |






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