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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
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Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary
The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in
- United States - 80,000 USD
- Europe - 60,547 EURO
- England - 60,532 POUNDS
- India - 12,10,327 INR
The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.
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Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Relational Data in Azure | 20-25% | - Azure relational data services
- Querying relational data |
| Topic 2: Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Azure storage services
|
| Topic 3: Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data ingestion and processing - Data visualization and reporting |
| Topic 4: Core Data Concepts | 25-30% | - Relational vs non-relational data - Data analytics workloads overview - Types of core data workloads - Roles and responsibilities in data work |

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