Examkin

Question

Difficulty: MediumHigh-Performing Content Delivery and Caching Solutions

A software-as-a-service (SaaS) provider hosts a financial analytics dashboard on AWS. The static assets of the dashboard are stored in an Amazon S3 bucket. The backend application runs on Amazon EC2 instances in private subnets behind an Application Load Balancer (ALB) and retrieves market analytics data from an Amazon Aurora PostgreSQL database. During periods of high market volatility, users experience slow dashboard loading times, and the database CPU utilization spikes due to a high volume of read queries for identical market data. Which two actions should a solutions architect recommend to optimize response times and reduce the load on the database? (Select TWO.)

  1. Configure an Amazon CloudFront distribution with the Amazon S3 bucket as the origin to cache and serve the static assets.Answer
  2. Implement Amazon ElastiCache for Redis in front of the Aurora PostgreSQL database to cache query results.Answer
  3. C
    Create an Amazon CloudFront distribution for the static assets, and configure a cache behavior with the Minimum TTL, Maximum TTL, and Default TTL set to 0.
  4. D
    Export frequently queried market analytics reports to an Amazon S3 Standard-Infrequent Access (S3 Standard-IA) bucket and update them every 15 minutes for users to download directly.
  5. E
    Configure the EC2 instances to retrieve static assets from the S3 bucket through a NAT Gateway to ensure low-latency internal data path delivery.

Answer

The solutions architect should configure an Amazon CloudFront distribution with the Amazon S3 bucket as the origin to serve static assets, and implement Amazon ElastiCache for Redis in front of the Aurora PostgreSQL database to cache query results.
Caching static content at edge locations using CloudFront minimizes user retrieval latency and reduces overall origin load. Caching database queries using ElastiCache for Redis offloads repetitive read requests from Aurora, dramatically reducing database CPU usage during peak traffic.

Step-by-Step Solution

1
Analyze the bottlenecks in the current architecture.
Slow loading times are caused by serving static assets directly or querying the database repeatedly for identical data.
Identifying the root causes helps in choosing the correct caching layers.
2
Address static asset delivery latency.
Amazon CloudFront is configured to edge cache static content from the S3 bucket.
CloudFront speeds up static content delivery and offloads origin requests.
3
Address relational database query load.
Amazon ElastiCache for Redis is deployed to store and retrieve frequent, repetitive database queries.
ElastiCache provides sub-millisecond response times for cached queries and reduces database CPU utilization.

Key Concept

Multi-tier caching using CloudFront for edge content delivery and ElastiCache for database query caching.
Rate this question

Topics

High-Performing Content Delivery and Caching Solutions

More questions from this topic