
GIAC Cloud Security Automation
Domain 4Objective 2
Microservices Architecture and Deployment GCSA Practice Questions (Page 2)
Part of the Container and Microservices Lifecycle domain, which makes up ~17% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 120-minute exam (~50–80 total, ~9–14 in this domain), expect 3–5 from this objective — we provide 37 practice questions to prepare you well beyond it. (estimate)
37questions here
8free pages
10concepts
Questions 6–10
- 6
A site reliability engineer (SRE) is troubleshooting a microservices application where users report that requests are sometimes slow. The SRE has access to metrics showing that the CPU usage of the frontend service is high, but the backend service shows low CPU. The SRE suspects that the backend service is the bottleneck. Which additional data would best confirm this?
Select an answer first - 7
A company is designing a microservices architecture. They have a legacy authentication system that is used by all services. The team wants to migrate to a new authentication system, but they want to do it incrementally without disrupting existing services. Which approach aligns with microservices principles?
Select an answer first - 8
A team is containerizing a microservice and wants to ensure that the image is built with minimal size and no unnecessary tools, to reduce the attack surface. They also want to ensure that the image is reproducible. Which practice should they follow?
Select an answer first - 9
A microservice is experiencing increased traffic during peak hours. The team wants to automatically scale the number of replicas based on CPU utilization, and ensure that new replicas are ready to serve traffic before they receive requests. Which set of Kubernetes features should they use?
Select an answer first - 10
A company is running a microservices application on Kubernetes. Services need to discover each other dynamically as pods are created and destroyed. The team also wants to distribute incoming traffic evenly across the available instances of each service. Which built-in Kubernetes mechanism provides both service discovery and load balancing?
Select an answer first
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