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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
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How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
Introduction
If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
| Describe an analytics workload on Azure | 25–30% | - Describe data visualization
|
| Describe core data concepts | 25–30% | - Describe data workloads
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
|
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