Eladio Rocha
Quiz por , criado 18 dias atrás

Learn the fundamental concepts of ACID compliance and the CAP Theorem in database systems. Explore how Atomicity, Consistency, Isolation, and Durability ensure reliable transactions, and understand the trade-offs between Consistency, Availability, and Partition Tolerance in distributed databases. This guide covers real-world examples, database system behaviors, and modern approaches to scalability and fault tolerance.

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Eladio Rocha
Criado por Eladio Rocha 18 dias atrás
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ACID Compliance and CAP Theorem

Questão 1 de 10

1

What does Atomicity in ACID compliance ensure?

Selecione uma das seguintes:

  • Transactions are immediately readable by all users.

  • Each transaction either fully succeeds or fully fails.

  • Rules within the database are always consistently applied.

  • Data is distributed across multiple partitions.

Explicação

Questão 2 de 10

1

In ACID, how is Consistency defined?

Selecione uma das seguintes:

  • Data changes are immediately visible across all nodes.

  • Database rules are consistently enforced during transactions.

  • Data retrieval is consistent across replicas.

  • Transactions never conflict with each other.

Explicação

Questão 3 de 10

1

What is the main goal of Isolation in ACID?

Selecione uma das seguintes:

  • To allow multiple transactions to modify the same data simultaneously.

  • To prevent transactions from interfering with each other.

  • To propagate data quickly across distributed systems.

  • To write data to durable storage.

Explicação

Questão 4 de 10

1

What does Durability in ACID compliance guarantee?

Selecione uma das seguintes:

  • Data is stored in memory for faster access.

  • Committed data will persist even after a crash.

  • Transactions are visible across distributed systems.

  • Data propagation is eventually consistent.

Explicação

Questão 5 de 10

1

Which of the following is a core concept of the CAP Theorem?

Selecione uma das seguintes:

  • Scalability, Reliability, Durability

  • Availability, Partition Tolerance, Consistency

  • Atomicity, Durability, Replication

  • Redundancy, Speed, Isolation

Explicação

Questão 6 de 10

1

What is the trade-off when using a database like Cassandra in terms of the CAP Theorem?

Selecione uma das seguintes:

  • Sacrifices partition tolerance for strong consistency.

  • Sacrifices consistency for availability and partition tolerance.

  • Sacrifices availability for consistency and partition tolerance.

  • Provides all three: consistency, availability, and partition tolerance.

Explicação

Questão 7 de 10

1

What does Availability mean in the CAP Theorem?

Selecione uma das seguintes:

  • Data changes are consistently propagated immediately.

  • The system avoids single points of failure.

  • Transactions remain durable during failures.

  • Data retrieval always reflects the most recent write.

Explicação

Questão 8 de 10

1

What is an example of a system that sacrifices availability in favor of consistency and partition tolerance?

Selecione uma das seguintes:

  • MySQL

  • Cassandra

  • DynamoDB in eventual consistency mode

  • MongoDB

Explicação

Questão 9 de 10

1

How does Partition Tolerance benefit distributed databases?

Selecione uma das seguintes:

  • Ensures that no data is lost in case of system crashes.

  • Allows the system to scale horizontally across multiple servers.

  • Guarantees real-time consistency for all reads and writes.

  • Eliminates the need for replication across nodes.

Explicação

Questão 10 de 10

1

What is a common characteristic of modern database systems regarding CAP trade-offs?

Selecione uma das seguintes:

  • They strictly enforce the CAP Theorem limitations.

  • They provide flexibility to optimize different properties based on use cases.

  • They always prioritize availability over consistency.

  • They eliminate the need for partition tolerance entirely.

Explicação

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