Recent Lessons

Show all results for ""

Feature Overview

Ace your exams with our all-in-one platform for creating and sharing quizzes and tests.

Quizzes

Create quizzes and tests automatically from your content using AI.

Flashcards

Automatically turn your notes into digital flashcards.

Share, Export & Embed

Share with classmates or export to Excel and your learning management system.

Stats & Reporting

Auto-grading quizzes and tests with detailed stats and reports.

Mobile Apps

The smarter way to study – wherever you are.

Pricing

Search...

5 Questions

1 Views

Data-Centric Consistency Models Quiz

Choose a study mode

Play Quiz

Study Flashcards

Spaced Repetition

Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the primary focus of data-centric consistency models?

Improving client response times

Enabling rapid update propagation

Facilitating user accessibility

Maintaining data integrity in distributed systems (correct)

Which of the following consistency types places the highest emphasis on global consistency?

Causal consistency

Strict consistency (correct)

Eventual consistency

Client-centric consistency

Which type of consistency allows for faster response times but may introduce inconsistencies?

Causal consistency

Sequential consistency

Client-centric consistency (correct)

FIFO consistency

What is a key trade-off when using data-centric consistency models?

<p>Reduced performance for stronger data guarantees</p> Signup and view all the answers

Which of the following is NOT a type of data-centric consistency?

<p>Randomized consistency</p> Signup and view all the answers

Study Notes

Data-Centric Consistency Models

Aim to maintain data integrity in distributed systems.
Focus on how updates are synchronized across nodes for a consistent client view.

Types of Data-Centric Consistency

Strict Consistency: Ensures all reads reflect the latest write; no delay in visibility.
Sequential Consistency: Operations appear to occur in some sequential order, respecting real-time order of operations.
Causal Consistency: Operations that are causally related are seen by clients in the same order, while independent operations may be seen in different orders.
FIFO (First In, First Out) Consistency: Guarantees that operations from a single client are seen by all clients in the order they were issued.

Client-Centric Models

Focus on the perspectives of individual clients, providing quicker response times.
Allow for possible temporary inconsistencies between clients.
Data-Centric models promote stronger global consistency, which may impact performance negatively.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Description

Test your knowledge on data-centric consistency models in distributed systems. This quiz covers types of consistency like strict, sequential, causal, and FIFO, analyzing their guarantees and trade-offs. Ideal for anyone studying data integrity and synchronization methods.