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One of the key benefits of the Microsoft DP-900 certification is that it is recognized by a wide range of organizations around the world. This means that having this certification on your resume can help you stand out from other candidates when you are applying for jobs. It can also help you advance your career by opening up new opportunities for you in the field of data management and analytics.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900, also known as the Microsoft Azure Data Fundamentals Certification Exam, is an entry-level certification exam that validates the basic knowledge and understanding of cloud data services and Azure data services. DP-900-KR exam is designed for individuals who are interested in pursuing a career in data and want to demonstrate their competence in Azure data services. DP-900-KR exam is ideal for aspiring data analysts, data scientists, data engineers, or data architects who are looking to validate their knowledge and skillset in Azure data services.
Microsoft DP-900 (Microsoft Azure Data Fundamentals) Certification Exam is a globally recognized certification that validates the foundational knowledge of individuals in the field of data-related technologies and services offered by Microsoft Azure. Microsoft Azure Data Fundamentals (DP-900 Korean Version) certification is ideal for professionals who want to gain a fundamental understanding of Azure data services and technologies, and how they can be used to solve real-world business problems.
To pass the DP-900 exam, candidates need to have a good understanding of the core concepts of data storage, processing, and security. They also need to be familiar with the Azure services and tools that are used for data management and processing. DP-900-KR exam consists of multiple-choice questions and is designed to be completed within 60 minutes.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Azure analytics services
- Data analytics concepts |
| Topic 2: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 3: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Non-relational data concepts - Azure storage services
|
| Topic 4: Core Data Concepts | 25-30% | - Relational vs non-relational data - Roles and responsibilities in data work - Data analytics workloads overview - Types of core data workloads |
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