Task 2.1: Implement Scalability and Elasticity. SOA-C03 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is the purpose of setting a time-to-live (TTL) value on cached data?

   • ATo determine how long an item remains in the cache before it is automatically removed
   • BTo control the number of requests a cache can handle per second
   • CTo specify the maximum size of the cache
   • DTo define the encryption method for cached data
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A company runs a customer relationship management (CRM) application on an Amazon RDS for PostgreSQL instance. The application has a read-heavy workload, and the primary database instance is experiencing high CPU utilization due to read queries. The operations team wants to offload read traffic from the primary instance without changing the application code. What should they do?

   • ACreate a read replica and configure the application to use it for read queries
   • BIncrease the storage size of the RDS instance
   • CEnable Multi-AZ deployment for the RDS instance
   • DEnable RDS Performance Insights
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which scaling policy type allows you to define multiple adjustments that respond to different magnitudes of a CloudWatch alarm breach?

   • ATarget tracking policy
   • BStep scaling policy
   • CScheduled scaling policy
   • DSimple scaling policy
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the primary purpose of Amazon CloudFront in a scalable web application architecture?

   • ATo cache content at edge locations, reducing latency and origin load
   • BTo distribute traffic across multiple instances
   • CTo automatically scale EC2 instances based on demand
   • DTo provide a managed relational database service
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company runs an e-commerce application that uses DynamoDB for product data and frequently reads the same product details. The application is experiencing high latency on product detail pages, and the operations team wants to reduce the load on DynamoDB and improve response times. They have decided to use ElastiCache for Redis. What caching pattern should they implement?

   • AUse DAX instead of ElastiCache
   • BCache-aside pattern where the application checks the cache first and, on a miss, reads from DynamoDB and populates the cache
   • CRead-through pattern where the cache itself fetches data from DynamoDB on a miss
   • DWrite-through pattern where every write updates both the cache and DynamoDB
   Reveal Solution Discussion Select an answer first