End-to-End Deployment of an application on Kubernetes — Devops Guide 2025 Quiz

Explore the key stages and best practices for deploying applications on Kubernetes, leveraging modern DevOps tools and AWS infrastructure. This quiz covers cloud provisioning, image security, automation pipelines, and Kubernetes monitoring techniques.

1. Launching an EC2 Instance

   Which is the primary purpose of launching an EC2 instance with Ubuntu 22.04 when starting an end-to-end application deployment on AWS?

   1. Installing only monitoring tools
   2. Provisioning a server for initial application testing and container setup
   3. Creating a managed Kubernetes cluster
   4. Configuring load balancers for traffic distribution

   Explanation: The main reason to launch an EC2 instance with Ubuntu is to provision a server where the application can be cloned, tested, and containerized before moving to more complex orchestration. Creating a managed Kubernetes cluster refers to services like EKS, not a single EC2 server. Load balancer setup is an additional infrastructure component, not the primary aim at this phase. Installing only monitoring tools neglects the core need for application deployment and containerization in the early steps.

2. Securing Docker Images

   Which two tools are often combined to improve the security of application code and container images before deployment in a CI/CD pipeline?

   1. Load balancer and autoscaler
   2. Static website generator and CDN service
   3. Code quality analysis tool and image vulnerability scanner
   4. Text editor and version control system

   Explanation: A code quality analysis tool helps identify security flaws in the source code, while an image vulnerability scanner checks container images for known vulnerabilities. Together, they improve deployment security. Text editors and version control are general development tools, not focused on security scanning. Load balancer and autoscaler handle scaling and distribution, not security analysis. Static site generators and CDNs serve content but do not analyze for vulnerabilities.

3. Automating Deployments

   What is the main role of a CI/CD tool in an automated Kubernetes deployment pipeline for microservices?

   1. Manually scaling pods in the cluster
   2. Only monitoring application performance
   3. Storing backup copies of container images
   4. Automating code build, testing, image creation, and deployment to clusters

   Explanation: A CI/CD tool automates the process from code changes, testing, building images, and deploying them to Kubernetes clusters, ensuring fast and reliable releases. Manually scaling pods is managed within Kubernetes itself. Performance monitoring is a separate process using monitoring tools. Backing up images is the domain of container registries, not a CI/CD tool's primary function.

4. Kubernetes Monitoring

   Which monitoring solution combination allows you to visualize both infrastructure and application metrics in a Kubernetes cluster?

   1. Metrics collector and visualization dashboard solution
   2. API gateway and static site host
   3. File transfer protocol client and SSH key generator
   4. Theme manager and text formatter

   Explanation: Pairing a metrics collector (to gather system/application data) with a visualization dashboard (to graphically display metrics) enables comprehensive monitoring. FTP clients and SSH key generators are for file transfer and access control, not monitoring. API gateways and static hosts are for routing and serving content. Theme managers and text formatters are unrelated to monitoring or metrics.

5. Infrastructure-as-Code Practice

   Why is Infrastructure-as-Code important when building cloud architecture for Kubernetes deployments?

   1. It enables repeatable, consistent provisioning and management of cloud resources
   2. It replaces all application development practices
   3. It is used only for managing software licenses
   4. It provides real-time network security analytics

   Explanation: Infrastructure-as-Code allows cloud infrastructure to be automatically provisioned and managed with code, resulting in consistency and reproducibility. Network security analytics are enhanced by other tools, not just IaC. IaC complements, but does not replace, application development. Software license management is a separate concern, not the central purpose of IaC.