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Caching Strategies

5 minutes 5 Questions

Caching strategies determine how data is managed and maintained across an application deployment. There are various caching strategies like Lazy Loading and Write-through. Lazy Loading populate data into cache only when requested, which minimizes the initial data loading. It improves the performanc…

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AWS Certified Solutions Architect - Caching Strategies Example Questions

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Question 1

You are hosting a web application on EC2 instances behind an Application Load Balancer. Which caching solution will provide the lowest latency for retrieving static assets?

Correct Answer: Amazon CloudFront

Amazon CloudFront caches and delivers static assets (images, JavaScript, CSS) close to users reducing latency. ElastiCache is designed for in-memory caching, which isn't optimal for static assets, and the other options don't focus on static asset caching and delivery.

Question 2

Your website dynamically generates personalized content for users. The requests to generate content are causing slow page load times. Which caching strategy should you use?

Correct Answer: ElastiCache with Redis

ElastiCache with Redis provides in-memory caching to cache complex or frequently changing content which can reduce the time required to generate personalized content. The other options either provide caching for static content or do not improve performance in this scenario.

Question 3

An application displays user avatars in a web page. The avatars are retrieved from S3 storage, but the requests are causing excessively high latency during peak times. What would be the best caching strategy to reduce latency?

Correct Answer: Introduce CloudFront for caching avatars close to users

By introducing CloudFront, you cache the avatars closer to the users which will decrease the latency experienced during peak times. Other solutions, such as storing avatars in an EC2 instance or using AWS Lambda, do not solve the latency issue and may introduce new problems.

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