Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 481 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03

Question #: 481
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company hosts a three-tier web application in the AWS Cloud. A Multi-AZAmazon RDS for MySQL server forms the database layer Amazon ElastiCache forms the cache layer. The company wants a caching strategy that adds or updates data in the cache when a customer adds an item to the database. The data in the cache must always match the data in the database.

Which solution will meet these requirements?

A. Implement the lazy loading caching strategy
B. Implement the write-through caching strategy
C. Implement the adding TTL caching strategy
D. Implement the AWS AppConfig caching strategy

Show Suggested Answer

Suggested Answer: B 🗳️

by nosense at May 16, 2023, 9:17 p.m.

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cloudenthusiast

Highly Voted 1 year, 9 months ago

Selected Answer: B

In the write-through caching strategy, when a customer adds or updates an item in the database, the application first writes the data to the database and then updates the cache with the same data. This ensures that the cache is always synchronized with the database, as every write operation triggers an update to the cache.

upvoted 30 times

cloudenthusiast

1 year, 9 months ago

Lazy loading caching strategy (option A) typically involves populating the cache only when data is requested, and it does not guarantee that the data in the cache always matches the data in the database. Adding TTL (Time-to-Live) caching strategy (option C) involves setting an expiration time for cached data. It is useful for scenarios where the data can be considered valid for a specific period, but it does not guarantee that the data in the cache is always in sync with the database. AWS AppConfig caching strategy (option D) is a service that helps you deploy and manage application configurations. It is not specifically designed for caching data synchronization between a database and cache layer.

upvoted 37 times