ACID Compliance and CAP Theorem

Descripción

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.
Eladio Rocha
Test por Eladio Rocha, actualizado hace 18 días
Eladio Rocha
Creado por Eladio Rocha hace 18 días
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Resumen del Recurso

Pregunta 1

Pregunta
What does Atomicity in ACID compliance ensure?
Respuesta
  • 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.

Pregunta 2

Pregunta
In ACID, how is Consistency defined?
Respuesta
  • 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.

Pregunta 3

Pregunta
What is the main goal of Isolation in ACID?
Respuesta
  • 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.

Pregunta 4

Pregunta
What does Durability in ACID compliance guarantee?
Respuesta
  • 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.

Pregunta 5

Pregunta
Which of the following is a core concept of the CAP Theorem?
Respuesta
  • Scalability, Reliability, Durability
  • Availability, Partition Tolerance, Consistency
  • Atomicity, Durability, Replication
  • Redundancy, Speed, Isolation

Pregunta 6

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

Pregunta 7

Pregunta
What does Availability mean in the CAP Theorem?
Respuesta
  • 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.

Pregunta 8

Pregunta
What is an example of a system that sacrifices availability in favor of consistency and partition tolerance?
Respuesta
  • MySQL
  • Cassandra
  • DynamoDB in eventual consistency mode
  • MongoDB

Pregunta 9

Pregunta
How does Partition Tolerance benefit distributed databases?
Respuesta
  • 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.

Pregunta 10

Pregunta
What is a common characteristic of modern database systems regarding CAP trade-offs?
Respuesta
  • 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.
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