Preview Questions DevOps | Role Specific Skill

Question 1: You're experiencing intermittent network connectivity issues between your application servers and the database. How would you monitor and troubleshoot this?

Which action should you take?

Choose only one option

Set up network monitoring tools to track latency, packet loss, and other network metrics.

Configure application logging to capture detailed information about database connection attempts and errors.

Implement synthetic monitoring to periodically test connectivity between the application servers and the database.

All of the above.

Question 2: You are responsible for monitoring a large and complex cloud infrastructure spanning multiple regions and availability zones. How do you ensure efficient and cost-effective monitoring across this distributed environment?

Which action should you take?

Choose only one option

Utilize cloud-native monitoring services provided by your cloud provider to collect and analyze metrics from various cloud resources.

Deploy a centralized monitoring solution that can aggregate and correlate data from multiple cloud regions and on-premises environments.

Implement a multi-layered monitoring approach, combining cloud-native monitoring, third-party tools, and custom instrumentation for optimal visibility.

Leverage container orchestration platforms like Kubernetes to automate the deployment and management of monitoring agents and exporters across your infrastructure.

Question 3: You're working on a new project and the team is deciding between Terraform and CloudFormation for IaC. You have experience with Terraform, but some team members prefer CloudFormation due to its native AWS integration. What do you do?

Which action should you take?

Choose only one option

Advocate for Terraform, highlighting its advantages and your familiarity with it.

Embrace CloudFormation, recognizing the team's preference and the potential benefits of native AWS integration.

Suggest evaluating both tools with a small proof-of-concept to compare their suitability for the project.

Research other IaC tools to see if there's a better fit for the project's requirements.

Question 4: You're deploying a new application to AWS using Terraform, but the deployment is failing due to insufficient IAM permissions. How do you resolve this?

Which action should you take?

Choose only one option

Modify the Terraform configuration to grant the necessary IAM permissions to the user or role executing the deployment.

Manually create the required IAM policies and attach them to the user or role.

Use the AWS CLI or console to temporarily elevate the permissions of the user or role to troubleshoot the issue.

Consult the Terraform documentation and online forums for guidance on managing IAM permissions in Terraform.

Question 5: You are troubleshooting a production issue where a containerized application is experiencing high memory usage and frequent OutOfMemory (OOM) errors. How do you diagnose and resolve this problem?

Which action should you take?

Choose only one option

Increase the memory limits allocated to the container to provide more resources and prevent OOM errors.

Profile the application's memory usage inside the container to identify memory leaks or inefficient memory management practices.

Optimize the application code to reduce memory footprint and improve memory utilization.

Implement resource monitoring and alerting to proactively detect and address potential memory issues before they cause OOM errors.

Question 6: 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.