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What Are the Exam Topics?
Core data concepts
This topic majorly addresses the following skills:
- Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.
- Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Data analytics concepts - Data ingestion and processing - Azure analytics services
|
| Topic 2: Core Data Concepts | 25-30% | - Relational vs non-relational data - Types of core data workloads - Roles and responsibilities in data work - Data analytics workloads overview |
| Topic 3: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 4: Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Azure storage services
|



