The answer is implementing the circuit breaker pattern using a service mesh like Istio. This is correct because the circuit breaker pattern prevents cascading failures in a microservices architecture by monitoring service health and stopping requests to a failing service until it recovers, allowing the system to degrade gracefully. On the Google Professional Cloud Developer exam, this question tests your understanding of how Istio’s Envoy sidecar proxies enforce circuit breaking at the network layer, decoupling services without requiring code changes—a common trap is confusing this with retry or timeout patterns, which handle transient issues but not sustained failures. For the exam, remember that Istio’s circuit breaker is configured via DestinationRule settings like `maxConnections` and `http1MaxPendingRequests`, and it works hand-in-hand with outlier detection to eject unhealthy pods. Memory tip: think of a “breaker box” that trips when too many requests fail, just like an electrical circuit breaker protecting your home’s wiring.
PCD Practice Question: Designing highly scalable, available, and reliable cloud-native applications
This PCD practice question tests your understanding of designing highly scalable, available, and reliable cloud-native applications. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is migrating a monolithic application to a microservices architecture on Google Cloud. They want to decouple services and ensure that a failure in one service does not impact others. Which pattern should they implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement circuit breaker pattern using a service mesh like Istio
The circuit breaker pattern, implemented via a service mesh like Istio, is the correct approach because it prevents cascading failures by monitoring service health and stopping requests to a failing service until it recovers. Istio's Envoy sidecar proxies enforce circuit breaking at the network layer, allowing the system to degrade gracefully without impacting other services.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Implement caching with Memorystore
Why it's wrong here
Caching improves performance but does not prevent failure propagation.
✗
Increase the number of instances of each service
Why it's wrong here
More instances do not prevent fault propagation.
✗
Use synchronous HTTP calls with retries
Why it's wrong here
Synchronous calls can cause cascading failures if not handled properly.
✓
Implement circuit breaker pattern using a service mesh like Istio
Why this is correct
Circuit breaker trips on failures, isolating the fault.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that scaling instances (Option B) or adding caching (Option A) is sufficient for fault isolation, but these patterns address performance and availability, not decoupling or failure containment.
Detailed technical explanation
How to think about this question
The circuit breaker pattern in Istio uses Envoy proxies to track consecutive errors (e.g., 5xx responses) and connection timeouts; when a threshold (e.g., 5 consecutive failures) is reached, the circuit opens, and subsequent requests fail fast without reaching the unhealthy service. This is configured via DestinationRule settings like `trafficPolicy.connectionPool.http.maxRetries` and `trafficPolicy.outlierDetection`, which also support half-open states for automatic recovery. In a real-world scenario, a payment service failure would trigger the circuit breaker, preventing the order service from hanging or timing out, thus maintaining overall system availability.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Designing highly scalable, available, and reliable cloud-native applications — This question tests Designing highly scalable, available, and reliable cloud-native applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Implement circuit breaker pattern using a service mesh like Istio — The circuit breaker pattern, implemented via a service mesh like Istio, is the correct approach because it prevents cascading failures by monitoring service health and stopping requests to a failing service until it recovers. Istio's Envoy sidecar proxies enforce circuit breaking at the network layer, allowing the system to degrade gracefully without impacting other services.
What should I do if I get this PCD question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A team is migrating a monolithic application to a microservices architecture on Google Kubernetes Engine (GKE). They want to ensure that failures in one microservice do not cascade to others. Which design pattern should they implement?
medium
A.Implement retry logic with exponential backoff for all inter-service calls.
✓ B.Implement a circuit breaker pattern that opens when failure thresholds are exceeded.
C.Use synchronous HTTP calls with timeouts to detect failures quickly.
D.Use bulkheads to separate thread pools for each service.
Why B: The circuit breaker pattern is the correct choice because it prevents cascading failures by monitoring inter-service calls and opening the circuit when failures exceed a threshold, allowing the system to fail fast and recover gracefully. In a GKE-based microservices architecture, this pattern is typically implemented using libraries like Resilience4j or Istio's circuit breaker, which can be configured to trip after a certain number of consecutive failures, thus protecting downstream services from being overwhelmed.
Last reviewed: Jun 11, 2026
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This PCD practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCD exam.
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