How to Register For Exam DP-900: Microsoft Azure Data Fundamentals?
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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At the present time, organizations are experiencing challenges in identifying the skills and knowledge of employees. Studies prove that organizations are spending more money on training staff members. Tables, sales, sales and marketing, finance, HR and others. The skills of the individual are not only in the field of computing and technology, but also in the field of business management. Templates, skills and knowledge of the individual are evaluated. As a result, organizations are looking for individuals who can manage these challenges. Hope that individuals have a broad range of knowledge and skills that they can draw from, as needed. Print and distribute reports, day to day running of the business, manage files and inventory. Microsoft Azure Data Management Fundamentals is a great way to prepare for this exam. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Curated and different content, industry specific content is included. Microsoft DP-900 certification is one of the best ways to protect your resume when searching for a new job, or when requesting a raise or promotion. Smarter ways, the training provided by Microsoft is a way to make smart decisions. Foundational concepts, increase your credibility with the technical skills you already have. Interface with the outside world through cloud technology, this training is well beyond skills associated with computing. Vendor independence, data management is not only dependent on the vendor, but also on the ability to understand and use the tools and leverage them for their own benefit.
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe an analytics workload on Azure | 25–30% | - Describe data visualization
|
| Topic 2: Describe core data concepts | 25–30% | - Describe roles and responsibilities
|
| Topic 3: Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
|
