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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.
The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.
This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.
Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Describe how to work with non-relational data on Azure (25-30%)
- Describe an analytics workload on Azure (25-30%)
- Describe core data concepts (15-20%)
- Describe how to work with relational data on Azure (25-30%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data ingestion and processing - Data analytics concepts |
| Topic 2: Relational Data in Azure | 20-25% | - Azure relational data services
- Relational data concepts |
| Topic 3: Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Types of core data workloads - Data analytics workloads overview - Relational vs non-relational data |
| Topic 4: Non-Relational Data in Azure | 15-20% | - Azure storage services
- Data processing options for non-relational data |
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