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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Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Describe how to work with non-relational data on Azure (25-30%)
- Describe an analytics workload on Azure (25-30%)
- Describe core data concepts (15-20%)
- Describe how to work with relational data on Azure (25-30%)
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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Type of Questions: This test format is multiple choice.
- Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
- Language: English
- Length of Examination: 50 mins
- This is the beta exam, would be available on or around March 31, 2020.
- Passing score: 700 / 1000
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Non-relational data concepts - Azure storage services
|
| Topic 2: Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Azure analytics services
- Data analytics concepts |
| Topic 3: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 4: Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Types of core data workloads - Relational vs non-relational data - Data analytics workloads overview |






