Online Access Free KCNA Practice Test

You have a microservice that relies on a separate authentication service. You want to implement fine-grained authorization using Istio based on request attributes like user roles or specific headers. What Istio feature would you use?

• A.Istio's 'TrafficManagement' feature
• B.Istio's 'Telemetry' feature
• C.Istio's 'AuthorizationPolicy' feature
• D.Istio's 'RequestAuthentication' feature
• E.Istio's 'ServiceEntry' feature

You are working on a cloud-native application that needs to interact with a database service. The application requires high availability and fault tolerance. Which open standard would you use to ensure reliable database connections and handle failures gracefully?

• A.OpenTracing
• B.Kubernetes Ingress
• C.CloudEvents
• D.Service Mesh
• E.OpenTelemetry

You are building a distributed system with microservices deployed in a Kubernetes cluster. Each microservice has its own database. How would you manage the consistency and reliability of data across these microservices?

• A.Use a combination of event sourcing and CQRS (Command Query Responsibility Segregation)
• B.Implement a distributed database system
• C.Use a shared database for all microservices
• D.Implement a distributed transaction manager
• E.Use a message broker to ensure data synchronization

You are managing a Kubernetes cluster using GitOps principles. Which of the following tools would you use to monitor the state of your cluster and trigger actions based on changes in your Git repository?

• A.Helm
• B.kubectl
• C.Flux
• D.Prometheus

You're running a microservices application in Kubernetes, and you're concerned about the cost associated with resource usage. Which of the following approaches is most effective for reducing cost without impacting performance?

• A.Utilize serverless functions to replace all microservices, as they scale automatically and only consume resources when active.
• B.Configure resource quotas for each namespace containing microservices to restrict their resource usage.
• C.Design your microservices to be stateless and idempotent, allowing them to be easily scaled and restarted without affecting application state.
• D.Implement a distributed tracing system to monitor the resource consumption of individual microservices and identify areas for optimization.
• E.Use a horizontal pod autoscaler (HPA) to scale each microservice independently based on its specific resource needs.