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Explain Analytics Workloads on Azure: 25-30%
- 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 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.
- 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 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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|
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