Event-Driven Architectures CV0-004 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which of the following is a common challenge when implementing an event-driven architecture?

   • ADifficulty in tracing the flow of events across multiple services.
   • BRequirement for all services to be written in the same language.
   • CNeed for a dedicated physical server for the event broker.
   • DInability to scale consumers independently.
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A ride-sharing company processes driver location updates to match riders. They need to detect when a driver is idle for too long and send a notification, and also compute real-time surge pricing based on demand. The system must handle millions of events per second. Which event processing approach best meets these needs?

   • AUse stream processing for both idle detection and surge pricing.
   • BUse simple event processing for idle detection and batch processing for surge pricing.
   • CUse complex event processing for both, but it will not scale to millions of events per second.
   • DUse a message queue with competing consumers for both, and store results in a database.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A retail company's order service publishes an event whenever an order is placed. The inventory service and the shipping service both need to react to this event independently, and the inventory service must not be affected if the shipping service is temporarily down. Which architecture should the team implement?

   • AUse a message queue where the order service sends the event and both services compete to consume it.
   • BStore the order in a shared database and have both services poll for new rows.
   • CHave the order service call both the inventory and shipping services synchronously via REST.
   • DPublish the order event to a broker, and have inventory and shipping subscribe to it as consumers.
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   An e-commerce company uses an event-driven architecture with a message queue for order processing. During peak sales, the queue backlog grows rapidly, but the consumer instances are not scaling fast enough, causing delays. The team has already enabled autoscaling based on queue depth. What is the most likely cause of the scaling lag?

   • AThe event broker is not able to handle the peak message volume.
   • BThe queue is not configured to retain messages during peak load.
   • CThe autoscaling policy has a cooldown period that delays new instance launches.
   • DThe consumers are using synchronous processing, which limits throughput.
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A company's microservices architecture uses an event broker to handle order events. During a flash sale, the order service publishes thousands of events per second. The downstream services are stateless and can be scaled horizontally. Which characteristic of event-driven architecture allows the downstream services to handle the surge without overwhelming the order service?

   • AThe consumers use synchronous REST calls to the order service to fetch events.
   • BThe broker automatically scales the order service to match the consumer throughput.
   • CThe broker buffers events, allowing consumers to process at their own pace and scale independently.
   • DThe order service scales its database to handle the increased write load.
   Reveal Solution Discussion Select an answer first