Microservices Data Management Quiz Quiz

1. Eventual Consistency

   What is the primary characteristic of eventual consistency in a microservices architecture?

   1. Data is always immediately consistent across all services.
   2. Data consistency is guaranteed after a period of time.
   3. Transactions are atomic across all services.
   4. Rollbacks are immediately propagated to all services.
   5. All data modifications will result in an immediate error until all services are in agreement.

2. Database per Service

   Why is the 'Database per Service' pattern generally preferred in microservices architectures?

   1. It reduces operational complexity by centralizing database management.
   2. It enhances fault isolation and prevents services from directly accessing each other's data stores.
   3. It improves performance due to centralized caching.
   4. It simplifies data consistency management across services.
   5. It ensures a uniform technology stack across the entire application.

3. Saga Pattern

   Which pattern is commonly used to manage distributed transactions and maintain data consistency across multiple microservices?

   1. Two-Phase Commit (2PC)
   2. Saga Pattern
   3. Global Transaction Identifier (GTID)
   4. Distributed Lock Manager (DLM)
   5. Materialized Views

4. API Composition

   What is API Composition primarily used for in a microservices architecture?

   1. Direct database access from multiple services
   2. Aggregating data from multiple microservices into a single response.
   3. Implementing a single global transaction across services.
   4. Replacing message queues with REST calls.
   5. Securing API access using a central authorization server.

5. Change Data Capture (CDC)

   What is the main purpose of Change Data Capture (CDC) in the context of microservices?

   1. To encrypt data at rest.
   2. To automatically replicate data changes from one microservice database to another.
   3. To manage access control lists for microservice APIs.
   4. To monitor microservice performance metrics.
   5. To perform database backups on a scheduled basis.

6. Data Ownership

   In a microservices environment, who should own the data within a service's database?

   1. A central DBA team.
   2. The team responsible for the microservice.
   3. A shared database team.
   4. All teams working on the application.
   5. The cloud provider.

7. Shared-Nothing Architecture

   What is a key benefit of a shared-nothing architecture in microservices, particularly regarding data management?

   1. Reduced data redundancy.
   2. Improved scalability and fault tolerance.
   3. Simplified data synchronization.
   4. Easier transaction management across services.
   5. Lower operational costs due to shared infrastructure.

8. CQRS Pattern

   What does CQRS stand for, and how does it relate to data management in microservices?

   1. Consistent Query and Reporting System; centralizes all data reads and writes.
   2. Command Query Responsibility Segregation; separates read and write operations, allowing optimization for each.
   3. Common Query and Result Standard; defines a universal data access language.
   4. Centralized Query and Reporting Service; provides a single point for data analysis.
   5. Command Query Retrieval Syntax; specifies a standardized way to interact with databases.

9. Data Versioning

   Why is data versioning important when microservices share data through APIs or events?

   1. To reduce storage costs.
   2. To ensure backward compatibility and prevent breaking changes when data structures evolve.
   3. To improve data compression.
   4. To simplify data migration.
   5. To enforce data encryption.

10. Choosing the Right Database

    When selecting a database for a specific microservice, what factor should be considered most important?

    1. The database's popularity.
    2. The database's compatibility with all other services.
    3. The database's ability to meet the service's specific data model and consistency requirements.
    4. The database's price.
    5. The database administrator's pre-existing knowledge.