Azure Cosmos DB Basics Practice Exam
Azure Cosmos DB is Microsoft’s fully managed NoSQL database service designed to handle massive amounts of data from around the world with high speed and reliability. It lets businesses store and process data in multiple regions, ensuring users get fast access no matter where they are. Unlike traditional databases, Cosmos DB can easily scale up or down depending on the workload, making it ideal for apps that need to serve millions of users.
For developers and organizations, Cosmos DB removes the complexity of managing servers or worrying about performance. It provides built-in high availability, global distribution, and multiple data models, making it suitable for real-time applications such as gaming, e-commerce, IoT, and financial systems.
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
Knowledge Gained
- Designing and implementing applications with Cosmos DB
- Understanding global distribution and multi-region replication
- Managing consistency models and performance tuning
- Using different Cosmos DB APIs (SQL, MongoDB, Cassandra, Gremlin, Table)
- Integrating Cosmos DB with Azure services (Functions, Logic Apps, AI/ML)
Course Outline
The Azure Cosmos DB Exam covers the following topics -
1. Introduction to Azure Cosmos DB
- What is Cosmos DB
- Use cases and benefits
- Overview of supported APIs
2. Cosmos DB Architecture
- Global distribution
- Partitions and containers
- Throughput and scaling
3. Working with Data Models
- SQL API basics
- MongoDB API compatibility
- Cassandra API
- Gremlin (Graph) API
- Table API
4. Consistency Models
- Strong consistency
- Bounded staleness
- Session consistency
- Eventual consistency
5. Performance and Scaling
- Provisioned vs. serverless throughput
- Indexing and queries
- Monitoring performance metrics
6. Integration with Azure Services
- Cosmos DB and Azure Functions
- Event-driven applications with Event Grid
- Using Cosmos DB with AI/ML pipelines
7. Security and Compliance
- Role-based access control (RBAC)
- Encryption and network security
- Compliance certifications