Microservices Data Management Strategies 2

Question 1

In a microservices architecture, what does the 'Database per Service' pattern primarily ensure?

Accepted Answer

Each service owns and encapsulates its own data store

Answer

All services share a single relational database

Answer

Services bypass APIs to query each other's tables

Answer

Data is never persisted to disk

Question 2

Which pattern is commonly used to maintain data consistency across services without distributed transactions?

Accepted Answer

Saga pattern

Answer

Two-phase commit lock

Answer

Global table lock

Answer

Synchronous join query

Question 3

What is a key drawback of sharing a single database across multiple microservices?

Accepted Answer

It creates tight coupling and hinders independent deployment

Answer

It improves service autonomy

Answer

It eliminates the need for APIs entirely

Answer

It guarantees eventual consistency automatically

Question 4

In the Saga pattern, what is a 'compensating transaction'?

Accepted Answer

An operation that undoes the effect of a previously completed transaction

Answer

A transaction that compensates employees

Answer

A backup of the entire database

Answer

A transaction that runs twice for redundancy

Question 5

Which approach allows services to maintain a local read-optimized copy of data owned by another service?

Accepted Answer

Data replication via event-driven updates

Answer

Direct synchronous database joins

Answer

Sharing the primary database connection pool

Answer

Disabling all caching

Question 6

What does 'eventual consistency' mean in a distributed microservices system?

Accepted Answer

Data becomes consistent across services after some delay

Answer

Data is always immediately consistent everywhere

Answer

Data is never consistent

Answer

Consistency is enforced by a global lock

Question 7

Which of these is the main reason microservices avoid distributed ACID transactions across services?

Accepted Answer

They reduce scalability and increase coupling between services

Answer

They are faster than local transactions

Answer

They are required by REST APIs

Answer

They guarantee zero latency