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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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Workload analytics on Azure
- Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
- Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
- Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
- Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
- Step 2: Sign up/log in to the Pearson VUE account
- Step 3: Select a local center based on your country, date, time and confirm with a payment method.
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Non-Relational Data in Azure | 15-20% | - Azure storage services
- Non-relational data concepts |
| Core Data Concepts | 25-30% | - Types of core data workloads - Data analytics workloads overview - Relational vs non-relational data - Roles and responsibilities in data work |
| Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data ingestion and processing - Data analytics concepts |
| Relational Data in Azure | 20-25% | - Azure relational data services
- Relational data concepts |
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