SAA-C03 Design High-Performing Architectures Practice Question
A global mobile game backend serves mostly static images and JavaScript files from an S3 origin. Users in distant countries report slow load times. What should improve performance most? The design must avoid adding custom operational scripts.
⚠ Common exam trap
It's easy for candidates to confuse database read replicas (Option A) with content delivery, not realizing that static asset acceleration requires a CDN like CloudFront, not a database scaling solution.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon CloudFront distribution with the S3 bucket as origin
Amazon CloudFront is a content delivery network (CDN) that caches static content at edge locations worldwide, reducing latency for users in distant countries by serving files from the nearest edge. Using the S3 bucket as the origin, CloudFront distributes the content globally without requiring any custom operational scripts, directly addressing the slow load times for static assets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
RDS read replicas
Why it's wrong here
RDS read replicas are designed to scale relational database read throughput by asynchronously copying database transactions to secondary instances. They do not serve or cache static assets stored in Amazon S3, nor do they have any integration with S3 bucket contents. A read replica would still be deployed in a specific AWS Region and would require DNS routing and an application change to use, so it would not reduce latency for users downloading images globally.
- ✓
Amazon CloudFront distribution with the S3 bucket as origin
Why this is correct
An Amazon CloudFront distribution with the S3 bucket as origin places your static images and other objects at a global network of edge locations, so users receive data from the nearest point of presence rather than traversing the internet to the origin bucket. CloudFront caches objects based on cache-control headers or default TTLs, dramatically reducing latency and origin load, and it integrates with S3 via Origin Access Control to keep the bucket private while still serving public content. This directly solves the global latency problem described in the scenario.
- ✗
A larger S3 bucket
Why it's wrong here
Increasing the size of the S3 bucket has no effect on delivery latency because S3 performance is designed to scale automatically without needing larger buckets; latency is governed by geographic distance and network path between the user and the bucket's region. A bigger bucket does not create edge caches or replicate content to multiple locations, so a user in another hemisphere still traverses the same public internet path to the origin. S3 bucket size is simply a storage quota, not a delivery performance mechanism.
- ✗
An EC2 Auto Scaling group in one Region
Why it's wrong here
An EC2 Auto Scaling group in one Region adds compute capacity within that single region, but it does not cache static S3 content or place content closer to a global user base. Without a CDN or edge layer, users must still cross the internet to that region, and scaling EC2 instances only helps if the bottleneck is application compute, not geographic distance to static objects. Additionally, introducing EC2 to serve S3 content would require custom software and significant operational overhead for no global latency benefit.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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