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
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Microsoft Azure Data Fundamentals Exam Certification Details:
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
| Exam Code | DP-900 |
| Number of Questions | 40-60 |
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Duration | 60 mins |
| Schedule Exam | Pearson VUE |
| Exam Price | $99 (USD) |
| Passing Score | 700 / 1000 |
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Data Concepts | 25-30% | - Data analytics workloads overview - Roles and responsibilities in data work - Relational vs non-relational data - Types of core data workloads |
| Topic 2: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Non-relational data concepts - Azure storage services
|
| Topic 3: Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Azure analytics services
- Data analytics concepts |
| Topic 4: Relational Data in Azure | 20-25% | - Relational data concepts - Querying relational data - Azure relational data services
|






