AWS Certified Solutions Architect - Associate
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A company is creating a new web application for its subscribers. The application will consist of a static single page and a persistent database layer. The application will have millions of users for 4 hours in the morning, but the application will have only a few thousand users during the rest of the day. The company's data architects have requested the ability to rapidly evolve their schema.
Which solutions will meet these requirements and provide the MOST scalability? (Choose two.)
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UAnonymous
A
Deploy Amazon DynamoDB as the database solution. Provision on-demand capacity.
B
Deploy Amazon Aurora as the database solution. Choose the serverless DB engine mode.
Explanation:
Explanation
Correct Answers: A and D
Why A (DynamoDB with on-demand capacity) is correct:
- Scalability: DynamoDB is a fully managed NoSQL database that can scale automatically to handle millions of users during peak hours (4 hours in the morning) and scale down during low usage periods.
- On-demand capacity: Provides automatic scaling without capacity planning, which is ideal for unpredictable or spiky workloads like this scenario.
- Rapid schema evolution: DynamoDB is schema-less, allowing for rapid schema changes without downtime, meeting the data architects' requirement.
- Cost-effective: On-demand pricing means you only pay for what you use, which is efficient for spiky traffic patterns.
Why D (S3 + CloudFront) is correct:
- Static content hosting: For a static single page application, S3 is the most scalable and cost-effective solution.
- CloudFront CDN: Provides global content delivery with low latency, automatically scaling to handle millions of concurrent users.
- Cost optimization: No need to provision and manage EC2 instances for static content.
- High availability: S3 provides 99.999999999% durability and 99.99% availability.
Why other options are incorrect:
B (Aurora Serverless): While Aurora Serverless can scale, it's a relational database that doesn't support rapid schema evolution as easily as DynamoDB. Schema changes in relational databases typically require migrations and can cause downtime.
C (DynamoDB with auto scaling): Auto scaling is good, but on-demand capacity (option A) is better for this scenario because:
- On-demand doesn't require capacity planning
- On-demand scales instantly to any workload
- On-demand is simpler to manage for spiky traffic
E (EC2 + EFS): This is overly complex and less scalable for static content:
- Requires managing EC2 instances and Auto Scaling groups
- EFS is not ideal for static web content (better for shared file storage)
- More expensive and less scalable than S3 + CloudFront
- Requires periodic content refresh instead of instant updates
Key AWS Services for this scenario:
- Amazon S3 + CloudFront: Best for static web content with global scalability
- Amazon DynamoDB: Best for NoSQL database with rapid schema evolution and automatic scaling
- On-demand capacity: Ideal for unpredictable, spiky workloads
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