Preview Questions DevOps | Role Specific Skill

Question 1: You've deployed a database to Azure SQL Database. You want to ensure high availability and disaster recovery for your database. What feature or service would you use?

Which action should you take?

Choose only one option

Azure Backup

Azure Site Recovery

Azure SQL Database geo-replication

Azure Availability Zones

Question 2: You are leading a team that is adopting a containerized microservices architecture. How do you address the unique security challenges posed by this distributed and dynamic environment?

Which action should you take?

Choose only one option

Implement network segmentation and micro-segmentation to isolate containers and restrict communication between them based on security policies.

Utilize container runtime security tools to monitor and protect containers from potential threats and vulnerabilities at the operating system level.

Leverage service mesh technologies to manage service-to-service communication, enforce authentication and authorization policies, and encrypt traffic between microservices.

Scan container images for vulnerabilities and enforce strict image promotion policies to prevent the deployment of insecure or non-compliant images.

Question 3: During a security audit, it is found that some sensitive data is stored in plain text in a configuration file. How do you rectify this?

Which action should you take?

Choose only one option

Encrypt the sensitive data and store the encryption key securely.

Restrict access to the configuration file to authorized personnel only.

Move the sensitive data to a more secure location, like a secrets management tool.

Obfuscate the sensitive data using a simple encoding scheme.

Question 4: You've implemented monitoring for a complex microservices architecture. You're now facing an alert storm during peak traffic hours, making it difficult to pinpoint the root cause of issues. How do you improve your alerting strategy?

Which action should you take?

Choose only one option

Adjust alert thresholds and sensitivity to reduce noise and focus on critical issues.

Implement alert correlation and aggregation to group related alerts and provide a clearer picture of the problem.

Introduce service-level indicators (SLIs) and objectives (SLOs) to define acceptable performance levels and trigger alerts based on meaningful thresholds.

Leverage machine learning or anomaly detection techniques to identify patterns and reduce false positives.

Question 5: You are responsible for designing a disaster recovery (DR) strategy for your organization's critical cloud-based applications and data. You need to ensure minimal downtime and data loss in the event of a major outage or disaster. What key factors do you consider when designing your DR plan?

Which action should you take?

Choose only one option

Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for each application, ensuring that they align with business requirements and SLAs.

Geographic redundancy and data replication strategies to protect against regional outages and ensure data availability.

Automated failover and recovery procedures to minimize downtime and enable quick restoration of services in case of a disaster.

Regular testing and validation of the DR plan to ensure its effectiveness and identify any gaps or areas for improvement.

Question 6: You are facing challenges managing and troubleshooting complex issues in a large-scale containerized environment. How do you improve your ability to diagnose and resolve these issues efficiently, minimizing downtime and impact on users?

Which action should you take?

Choose only one option

Implement comprehensive logging and monitoring solutions to collect and analyze logs and metrics from containers, hosts, and network components, providing insights into system behavior and potential issues.

Utilize distributed tracing and observability tools to track requests across microservices and identify performance bottlenecks or errors, enabling faster root cause analysis.

Leverage AI-powered log analysis and anomaly detection tools to identify patterns and proactively detect potential issues before they impact users.

Establish a well-defined incident management process with clear roles and responsibilities, communication channels, and escalation procedures to ensure a coordinated and efficient response to incidents.