Preview Questions DevOps | Role Specific Skill

Question 1: You are designing a highly available and fault-tolerant architecture for a critical application in the cloud. What strategies do you employ to achieve this?

Which action should you take?

Choose only one option

Deploy the application across multiple Availability Zones within a region to protect against infrastructure failures.

Utilize managed services like load balancers, database replicas, and content delivery networks to distribute traffic and ensure high availability.

Implement auto-scaling capabilities to dynamically adjust resources based on demand and handle traffic spikes.

Design the application to be stateless and leverage container orchestration platforms like Kubernetes to manage and scale containers across multiple nodes.

Question 2: Your team is adopting a new cloud-native application platform (e.g., Kubernetes or serverless). How do you adapt your monitoring strategy to ensure comprehensive visibility into the health and performance of this new environment?

Which action should you take?

Choose only one option

Rely on the platform's built-in monitoring and logging capabilities to gather basic metrics and events.

Integrate third-party monitoring tools specifically designed for cloud-native environments to gain deeper insights.

Instrument your applications with distributed tracing and custom metrics to track requests and identify performance bottlenecks across microservices.

Implement a combination of platform-native monitoring, third-party tools, and application instrumentation to achieve comprehensive observability.

Question 3: You are tasked with improving the observability of your cloud-native applications and microservices architecture. What tools and techniques do you utilize to gain insights into application behavior, performance, and potential issues?

Which action should you take?

Choose only one option

Implement distributed tracing to track requests across multiple microservices and identify performance bottlenecks or errors, providing end-to-end visibility into the system.

Utilize application performance monitoring (APM) tools to collect and analyze detailed application metrics, such as response times, error rates, and resource utilization.

Leverage log aggregation and analysis platforms to centralize logs from various sources, enabling correlation and root cause analysis of issues.

Implement synthetic monitoring to simulate user interactions and proactively detect performance degradation or availability issues.

Question 4: A new feature deployment caused unexpected performance degradation in production. How do you mitigate the impact and prevent future occurrences?

Which action should you take?

Choose only one option

Immediately roll back the deployment to the previous stable version.

Analyze performance metrics and logs to identify the root cause of the degradation.

Implement automated performance testing in the CI/CD pipeline to catch performance issues early.

Temporarily scale up infrastructure resources to handle the increased load.

Question 5: You're working with a team that's concerned about the cost of cloud services. They're asking you for recommendations on how to optimize costs. What advice would you give them?

Which action should you take?

Choose only one option

Right-size instances and use auto-scaling to match resources to demand

Utilize reserved instances or savings plans for predictable workloads

Monitor usage patterns and identify opportunities to reduce or eliminate unused resources

All of the above

Question 6: Your organization is experiencing significant cost overruns in its cloud infrastructure spending. You are tasked with identifying and implementing cost optimization strategies while maintaining performance and reliability. What approach do you take?

Which action should you take?

Choose only one option

Conduct a thorough cost analysis, leveraging cloud provider billing data and resource utilization metrics, to identify areas of inefficiency and potential cost savings.

Implement cost optimization techniques, such as rightsizing instances, utilizing spot instances, and scheduling resource scaling based on demand patterns.

Review and refactor IaC templates and automation scripts to optimize resource provisioning and eliminate any unnecessary or underutilized resources.

Negotiate with cloud providers for better pricing and discounts, exploring options like reserved instances or committed use discounts for predictable workloads.