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Explain ACID and isolation levels

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's knowledge of database transactions, the ACID properties (Atomicity, Consistency, Isolation, Durability), and common isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable), testing competency in concurrency control and data consistency.

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  • Meta
  • Software Engineering Fundamentals
  • Software Engineer

Explain ACID and isolation levels

Company: Meta

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Onsite

Explain what a database transaction is, define the ACID properties (Atomicity, Consistency, Isolation, Durability), and describe common transaction isolation levels: Read Uncommitted, Read Committed, Repeatable Read, and Serializable. For each isolation level, discuss: - Which anomalies it prevents or allows (e.g., dirty reads, non-repeatable reads, phantom reads). - A concrete example scenario illustrating those anomalies. - When you might choose that level in a real-world application (e.g., financial system vs. analytics system). Also explain how isolation relates to performance and concurrency in a database system.

Quick Answer: This question evaluates a candidate's knowledge of database transactions, the ACID properties (Atomicity, Consistency, Isolation, Durability), and common isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable), testing competency in concurrency control and data consistency.

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|Home/Software Engineering Fundamentals/Meta

Explain ACID and isolation levels

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Meta
Dec 8, 2025, 7:54 PM
mediumSoftware EngineerOnsiteSoftware Engineering Fundamentals
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Explain what a database transaction is, define the ACID properties (Atomicity, Consistency, Isolation, Durability), and describe common transaction isolation levels: Read Uncommitted, Read Committed, Repeatable Read, and Serializable.

For each isolation level, discuss:

  • Which anomalies it prevents or allows (e.g., dirty reads, non-repeatable reads, phantom reads).
  • A concrete example scenario illustrating those anomalies.
  • When you might choose that level in a real-world application (e.g., financial system vs. analytics system).

Also explain how isolation relates to performance and concurrency in a database system.

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