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General Overview of Microsoft DP-900 Exam
The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 (Microsoft Azure Data Fundamentals) Certification Exam is an entry-level exam that is designed to test your fundamental knowledge of Microsoft Azure data services. It is intended for individuals who are just starting out in their careers or who are looking to expand their knowledge of cloud-based data solutions. Microsoft Azure Data Fundamentals (DP-900 Korean Version) certification exam is a great way to demonstrate your expertise in the field of data management and analytics.
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To pass the Microsoft DP-900 exam, candidates must have an understanding of various Azure data services, such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Azure Synapse Analytics. DP-900-KR exam also tests the candidate's ability to understand the difference between structured and unstructured data, how to implement security and privacy controls, and how to use Azure data services to build scalable and reliable solutions. Passing the Microsoft DP-900 exam is an excellent way for individuals to demonstrate their knowledge of Azure data services and validate their skills in the field of data management. Successful completion of the exam can lead to career opportunities in data management and analytics, as well as higher salaries and job promotions.
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
| Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Describe core data concepts | 25-30% | - Describe ways to represent data
|






