Performance efficiency pillar in AWS - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Auto Scaling Impact on Performance

You have an AWS application behind an Auto Scaling group. The group scales out when CPU usage exceeds 70%. What is the primary benefit of this setup for performance efficiency?

A It automatically adjusts capacity to maintain steady performance under varying loads.

B It ensures the application always runs on the largest instance type available.

C It reduces costs by shutting down instances during peak traffic.

D It guarantees zero latency for all user requests.

💡 Hint

Think about how the system reacts to changes in demand.

Auto Scaling adjusts the number of instances based on demand, helping maintain performance efficiently.

❓ Architecture

intermediate

Choosing Storage for High Throughput

You need to design a data storage solution on AWS that supports very high read and write throughput with low latency. Which AWS service is best suited for this?

A Amazon S3 with Standard storage class

B Amazon Glacier for archival storage

C Amazon EBS General Purpose SSD (gp3)

D Amazon DynamoDB with on-demand capacity mode

💡 Hint

Consider a service designed for fast, scalable NoSQL access.

DynamoDB is a fully managed NoSQL database designed for high throughput and low latency at scale.

❓ security

advanced

Impact of Encryption on Performance

You enable encryption at rest for your AWS RDS database instance. What is the most likely impact on performance efficiency?

A Encryption will cause a significant increase in query latency making the database unusable.

B Encryption has no impact on performance because it is handled by AWS hardware acceleration.

C Encryption may introduce a small performance overhead but improves data security.

D Encryption disables caching, reducing read performance drastically.

💡 Hint

Think about trade-offs between security and performance.

Encryption adds some overhead but AWS optimizes it to minimize impact while securing data.

✅ Best Practice

advanced

Optimizing Compute Resources for Cost and Performance

You want to optimize your AWS EC2 instances for both cost and performance under variable workloads. Which approach aligns best with the performance efficiency pillar?

A Use fixed large instance types to avoid scaling complexity.

B Use a mix of On-Demand, Reserved, and Spot Instances with Auto Scaling to balance cost and performance.

C Use Spot Instances exclusively to minimize cost regardless of availability.

D Use only Reserved Instances to guarantee capacity and performance.

💡 Hint

Consider flexibility and cost-effectiveness together.

Combining instance types with Auto Scaling allows balancing cost savings and performance needs dynamically.

❓ service_behavior

expert

Analyzing CDN Behavior for Performance Efficiency

You configure Amazon CloudFront as a CDN for your website. After deployment, you notice some users experience slower load times for certain content. Which CloudFront feature can you enable to improve performance globally?

A Enable Origin Shield to reduce origin load and improve cache hit ratio.

B Use a single regional edge cache to simplify content delivery.

C Disable edge caching to force requests directly to the origin server.

D Turn off HTTP/2 support to reduce protocol overhead.

💡 Hint

Think about features that optimize cache efficiency and reduce origin latency.

Origin Shield adds an additional caching layer to improve cache hit ratios and reduce origin load, enhancing global performance.