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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%
- Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
- Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
- Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
- Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|
| Topic 2: Describe core data concepts | 25–30% | - Describe types of data
|
| Topic 3: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
|
| Topic 4: Describe an analytics workload on Azure | 25–30% | - Describe real-time analytics
|








