Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%
- 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.
- 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 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.
For more info read reference:
Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Data visualization and reporting - Azure analytics services
- Data ingestion and processing |
| Topic 2: Non-Relational Data in Azure | 15-20% | - Azure storage services
- Data processing options for non-relational data |
| Topic 3: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 4: Core Data Concepts | 25-30% | - Data analytics workloads overview - Roles and responsibilities in data work - Relational vs non-relational data - Types of core data workloads |




