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Azure Cosmos DB Basics

Azure Cosmos DB Basics

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Azure Cosmos DB Basics

Azure Cosmos DB is a cloud-based database solution from Microsoft that’s built for speed, scalability, and global reach. It allows companies to store data across different geographic regions while ensuring quick response times. Unlike traditional databases, Cosmos DB automatically adjusts resources to meet demand, which makes it a powerful choice for apps needing continuous availability.

For teams building modern applications, Cosmos DB simplifies data handling by offering flexible models, automatic scaling, and guaranteed uptime. It’s widely used in scenarios like personalized shopping, fraud detection, online gaming, and any system where real-time access to large volumes of data is critical.

 

 

Who should take the Exam?

This exam is ideal for:

  • Cloud Developers
  • Database Administrators (DBAs)
  • Data Engineers
  • Solution Architects
  • AI & IoT Developers
  • Application Developers for SaaS platforms
  • DevOps Engineers working on Azure

Skills Required

  • Basic understanding of databases (SQL/NoSQL concepts)
  • Knowledge of cloud computing, especially Azure basics
  • Familiarity with JSON and APIs
  • Programming skills in Python, .NET, or JavaScript

Course Outline

Domain 1 - Introduction to Azure Cosmos DB

Domain 2 - Cosmos DB Architecture

Domain 3 - Working with Data Models

Domain 4 - Consistency Models

Domain 5 - Performance and Scaling

Domain 6 - Integration with Azure Services

Domain 7 - Security and Compliance

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Azure Cosmos DB Basics FAQs

Developers, data engineers, and architects working on cloud-based applications.

Basic familiarity with Azure cloud concepts is helpful.

 

Not strictly, but knowing SQL helps since Cosmos DB supports SQL API.

Retail, finance, gaming, IoT, and healthcare.

No, it’s designed for NoSQL and real-time use cases, not all relational scenarios.

No, startups and mid-sized companies also benefit from its scalability.

Yes, including SQL, MongoDB, Cassandra, Gremlin, and Table APIs.

Yes, data model design and querying are key parts of the course.

Yes, Microsoft offers SLAs with high availability guarantees.

Yes, it integrates with AI pipelines for real-time analytics.

 

Python, .NET, Java, JavaScript, and more.

Yes, topics include encryption, RBAC, and compliance.

It replicates data automatically across multiple regions.

Roles like cloud developer, data engineer, or solution architect become more accessible.

Yes, demand for globally distributed, real-time databases is rapidly increasing.