Preview Questions DevOps | Role Specific Skill

Question 1: Your team is adopting IaC, but there's resistance from some members who are comfortable with manual provisioning. How do you facilitate the transition?

Which action should you take?

Choose only one option

Mandate IaC adoption and provide training sessions to upskill the team.

Highlight the benefits of IaC like consistency, reproducibility, and auditability to encourage adoption.

Start with a pilot project using IaC to showcase its advantages and gain buy-in from the team.

Gradually introduce IaC for new projects while allowing existing ones to continue with manual provisioning.

Question 2: You are tasked with improving the observability and monitoring of your containerized applications running on Kubernetes. How do you ensure comprehensive visibility into application behavior, performance, and potential issues across the distributed system?

Which action should you take?

Choose only one option

Rely on Kubernetes' built-in monitoring and logging capabilities, such as kube-state-metrics and container logs, to gather basic metrics and events.

Integrate third-party monitoring and observability tools specifically designed for Kubernetes, such as Prometheus, Grafana, and Jaeger, to gain deeper insights into cluster health and performance.

Instrument your applications with distributed tracing and custom metrics to track requests across microservices and identify potential bottlenecks or latency issues.

Implement a service mesh to provide additional observability features, such as traffic management, security, and tracing, across your microservices architecture.

Question 3: You are tasked with improving the observability of your organization's containerized microservices architecture running on Kubernetes. What strategies do you employ to gain deeper insights into application behavior and performance across the distributed system?

Which action should you take?

Choose only one option

Rely on Kubernetes' built-in monitoring and logging capabilities, such as kube-state-metrics and container logs, to collect basic metrics and events.

Integrate third-party monitoring and observability tools specifically designed for Kubernetes, such as Prometheus and Grafana, to gain deeper insights into cluster health and performance.

Instrument your applications with distributed tracing and custom metrics to track requests across microservices and identify potential bottlenecks or latency issues.

Implement a service mesh to provide additional observability features, such as traffic management, security, and tracing, across your microservices architecture.

Question 4: You've set up monitoring for your database, but you're not collecting enough data to identify performance bottlenecks. What would you do?

Which action should you take?

Choose only one option

Enable slow query logging to capture queries that take longer than a certain threshold.

Increase the frequency of metric collection to gather more granular data.

Install additional monitoring agents or plugins to collect more specific database metrics.

Upgrade your monitoring tool to a more advanced version with better database monitoring capabilities.

Question 5: You're deploying a new application version to production. What monitoring strategies would you implement to ensure a smooth rollout?

Which action should you take?

Choose only one option

Set up synthetic monitoring to simulate user interactions and proactively detect issues.

Monitor application logs and metrics for errors, exceptions, and performance degradation.

Implement real-user monitoring (RUM) to track actual user experience and identify potential problems.

All of the above.

Question 6: You are working on a project that requires deploying infrastructure across multiple cloud providers. How would you approach this using IaC?

Which action should you take?

Choose only one option

Use a cloud-agnostic IaC tool like Terraform that supports multiple cloud providers.

Utilize separate IaC tools specific to each cloud provider and manage them independently.

Develop custom scripts and automation to orchestrate infrastructure provisioning across different cloud providers.

Rely on the cloud providers' native IaC tools (e.g., CloudFormation for AWS, ARM templates for Azure) and manage them separately.