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.
Microsoft Azure Data Fundamentals Exam Certification Details:
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
| Exam Code | DP-900 |
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
| Passing Score | 700 / 1000 |
| Exam Price | $99 (USD) |
| Duration | 60 mins |
| Schedule Exam | Pearson VUE |
| Number of Questions | 40-60 |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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 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 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.
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Relational Data in Azure | 20-25% | - Relational data concepts - Azure relational data services
|
| Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Data analytics concepts - Data ingestion and processing - Azure analytics services
|
| Non-Relational Data in Azure | 15-20% | - Azure storage services
- Non-relational data concepts |
| Core Data Concepts | 25-30% | - Data analytics workloads overview - Types of core data workloads - Relational vs non-relational data - Roles and responsibilities in data work |














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