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Microsoft DP-900 exam is a perfect fit for data professionals who are looking for a career in data analytics or data engineering. Microsoft Azure Data Fundamentals (DP-900 Korean Version) certification is an industry-standard that validates the candidates' foundational knowledge of core data concepts and their abilities in working with data services on the Azure platform. DP-900-KR exam is designed to be accessible to everyone, irrespective of their experience level, and provides a great opportunity for individuals to build their skills and advance their careers in the field of data analytics and engineering.
Microsoft DP-900 certification exam covers a range of topics related to cloud data services, including core concepts of Azure data services, relational and non-relational data offerings, and analytics services. It also covers data security, privacy, compliance, and pricing models for Azure data services. DP-900-KR exam is designed to test your knowledge of these topics and your ability to apply them in real-world scenarios.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 (Microsoft Azure Data Fundamentals) certification exam provides individuals with a foundational knowledge of cloud data services in Microsoft Azure. It is a great starting point for beginners who are interested in learning about cloud data management and can be used to progress towards higher-level Azure certifications. With the right training and preparation, individuals can successfully pass the DP-900 exam and kickstart their career in cloud data management.
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The Microsoft DP-900-KR exam covers a wide range of topics related to Azure data services, including data storage options, data processing technologies, data analysis tools, and data security. Candidates are expected to have a basic understanding of databases, SQL, and programming concepts.
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| Section | Weight | Objectives |
|---|---|---|
| Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|
| Describe core data concepts | 25–30% | - Describe types of data
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure storage services
|
| Describe an analytics workload on Azure | 25–30% | - Describe big data and analytics concepts
|
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