DP-900: Microsoft Azure Certification

1. Ways to represent data
   1. describe features of structured data
   2. describe features of semi-structured
   3. describe features of unstructured data
2. Options for data storage
3. Common data loads
4. Identify roles and responsibilities for data workloads
5. Identify considerations for relational data on Azure
6. Describe relational Azure data services
7. Describe considerations for working with non-relational data on Azure
8. Describe capabilities and features of Azure Cosmos DB
9. Describe an analytics workload on Azure
10. Describe data visualization in Microsoft Power BI
    1. identify capabilities of Power BI
    2. describe features of data models in Power BI
    3. identify appropriate visualizations for data

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Our Trainers have years of real-time experience implementing Microsoft Azure Solutions. Instructor/s are equipped with vast knowledge of Azure Services..
They share their work experience in various domains to help students gain a perspective on how Azure works in the industry.

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After the completion of the course and the exam, you will be awarded with the course completion certificate.

24 hours