Task Statement 3.2: Implement Solutions That Are Scalable to Meet Business Requirements. DOP-C02 Practice Questions (Page 8)

Questions 36–40

1. 36application · medium

   A company processes image uploads from users. The upload service runs on EC2 instances and writes metadata to a database. During peak hours, the database becomes a bottleneck, causing uploads to fail. The team wants to decouple the upload service from the processing pipeline so that each component can scale independently. Which solution best achieves this?

   • AUse an Amazon SQS queue between the upload service and a separate processing service
   • BIncrease the database instance size to handle the peak load
   • CPlace the upload service and database in the same Auto Scaling group
   • DUse an Application Load Balancer in front of the database
   Reveal Solution Discussion Select an answer first
2. 37foundation · easy

   A Lambda function experiences high latency on the first request after a period of inactivity. The team wants to eliminate this cold start latency for a latency-sensitive API. Which Lambda configuration should they use?

   • ADead Letter Queue (DLQ)
   • BFunction memory
   • CReserved concurrency
   • DProvisioned concurrency
   Reveal Solution Discussion Select an answer first
4. 38expert · hard

   A company is designing a globally distributed application that must scale to handle millions of users. The application is stateless and uses a shared database. The team wants to partition data across multiple Regions to improve scalability and reduce latency. Which pattern should they use?

   • AUse a global secondary index on a DynamoDB table
   • BUse database sharding with each shard in a different Region
   • CUse a single database in one Region and replicate it to other Regions
   • DUse Amazon ElastiCache to cache all data globally
   Reveal Solution Discussion Select an answer first
5. 39foundation · easy

   A team is evaluating serverless computing for a new application. Which trade-off is a KEY consideration when choosing serverless over traditional EC2-based architectures?

   • AServerless functions have a maximum execution time limit
   • BServerless is only available in a single AWS Region
   • CServerless provides no automatic scaling
   • DServerless requires managing the underlying operating system
   Reveal Solution Discussion Select an answer first
6. 40application · medium

   A company runs a containerized microservices application on Amazon ECS. One service is CPU-intensive and experiences variable traffic. The team wants to automatically scale the number of tasks for this service based on CPU utilization. Which configuration should they use?

   • AManually update the desired count of the ECS service
   • BCreate an Application Auto Scaling target for the ECS service with a target tracking policy on CPUUtilization
   • CUse an EC2 Auto Scaling group to scale the underlying EC2 instances
   • DUse an AWS Lambda function to periodically check CPU and update the service
   Reveal Solution Discussion Select an answer first