Evaluate an Application Design Considering Scalability and Modularity 350-901 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A team is reviewing a microservices architecture. They notice that changing the database schema in one service requires changes in several other services. What principle is being violated?

   • ACaching
   • BHigh cohesion
   • CLoose coupling
   • DStatelessness
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which design pattern is most effective for reducing the load on a database when the same data is frequently requested by many users?

   • AQueueing
   • BStatelessness
   • CCaching
   • DLoad balancing
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A team is building a service that sends notifications via email, SMS, and push. They want to add a new notification channel (e.g., Slack) without modifying the core notification logic. Which design pattern supports this?

   • AStrategy pattern
   • BQueueing
   • CCaching
   • DStatelessness
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A database server is struggling with the load from a growing user base. The team is considering options. They have a budget for new hardware but want to minimize operational complexity. Which approach is the most straightforward to implement?

   • AShard the database across multiple servers.
   • BMove the database to a serverless database service.
   • CSet up read replicas and modify the application to route reads to them.
   • DUpgrade the database server with more CPU, RAM, and faster storage.
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A company runs a monolithic REST API on a single large VM. Traffic spikes during business hours and drops at night. The team wants to handle the spikes without over-provisioning overnight. They plan to add a load balancer and run multiple instances of the monolith on smaller VMs. Which additional change is most important to make this approach work effectively?

   • APlace the load balancer on the same VM as the application to reduce network latency.
   • BIncrease the CPU and memory of the existing single VM to handle the peak load.
   • CMove the session state out of the application instances into a shared cache or database.
   • DRewrite the monolith as a set of microservices before adding the load balancer.
   Reveal Solution Discussion Select an answer first