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How to operate with non-relational data on Azure
The main concepts covered in this domain include:
- Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
- Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
- Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
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So, What Is the Verdict?
The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 real-time analytics
|
| Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
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