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How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
- Step 2: Sign up/log in to the Pearson VUE account
- Step 3: Select a local center based on your country, date, time and confirm with a payment method.
The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification
The Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is a valuable asset to networking professionals. With this certification, one will have the ability to get a job with the industry. The certification will provide work experience and skills that are directly related with the industry. Fields of work that require this certification are Business Intelligence and Data Warehousing. Life of a certified individual is filled with great opportunities and success if the individual is talented and passionate. Flow of work for this certification is continuous and increasing. Beginner and experienced persons can get jobs and skill development through this certification. Covering this certification will enhance knowledge and understanding of Business Intelligence and Data Warehousing. Explorer and quick learner can also take the benefit of this certification. Email, instant messaging, chat and news details will be helpful in this certification. Scenario based questions are also beneficial in this certificate. Computers and emailing and social media and internet applications will be useful in this certification. Code lines and QR code and data tables will be helpful in this certification. Desktop and laptops and monitors and tablets and projectors will be helpful in this certification. Microsoft DP-900 exam dumps can help you pass exam in first try. Template questions will help you cover most of the exam area. Computer and devices and devices and servers, they help you memorize the most important concepts in the exam. Ssms and docs and spms and email, they help you understand the online learning portal. Testing and assessment and practice questions, they help you learn the most important material to study. Paginated and dynamic and interactive and live, they are the best practice guides to learn for the exam. Bar and charts and tables and flowcharts, they help you understand the concepts in the best possible manner. Objectives and scenarios and results and prerequisites, they help you learn the concepts deeply.
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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%
- Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
- Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.
- Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analytics Workloads in Azure | 25-30% | - Data ingestion and processing - Azure analytics services
- Data visualization and reporting |
| Relational Data in Azure | 20-25% | - Relational data concepts - Azure relational data services
|
| Core Data Concepts | 25-30% | - Relational vs non-relational data - Types of core data workloads - Roles and responsibilities in data work - Data analytics workloads overview |
| Non-Relational Data in Azure | 15-20% | - Azure storage services
- Non-relational data concepts |


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