Recruiter’s Questions

1. Tell me about your approach to troubleshooting a complex systems issue.

Great Response: "I start by gathering information to understand the full scope of the problem, including when it started, affected systems, and any recent changes. I follow a methodical process - checking logs, monitoring dashboards, and using tools like traceroute or packet capture if needed. I prioritize isolating the issue first before making changes. If I don't find a solution quickly, I'll involve team members with relevant expertise while documenting everything throughout the process. After resolution, I conduct a thorough root cause analysis to prevent recurrence and share learnings with the team."

Mediocre Response: "I usually check the logs and error messages first to see what's happening. If that doesn't work, I'll restart services or systems that seem problematic. I also search online for similar issues and solutions. If I can't solve it myself, I'll escalate to someone with more expertise or knowledge of that specific system."

Poor Response: "I follow our standard troubleshooting playbook step by step. If that doesn't resolve the issue, I usually restart the affected systems or roll back to a previous version that was working. If those steps don't fix the problem, I'd reach out to the vendor support team or escalate to senior engineers who designed the system. Most problems can be solved by following established procedures."

2. How do you balance system reliability with the need to implement new features?

Great Response: "I believe in establishing reliability targets with stakeholders before adding new features. I advocate for a progressive deployment approach, starting with testing in lower environments and using feature flags for controlled rollouts. I ensure we have robust monitoring that triggers alerts when key metrics deviate from baselines. Additionally, I build in time for technical debt reduction as part of my project planning, and I'm comfortable pushing back on feature requests that might compromise system stability based on data and specific risk assessments."

Mediocre Response: "I try to do thorough testing before releasing new features and make sure we have backup plans in case something goes wrong. I follow our change management process and schedule maintenance windows for major updates. If the system seems stable for a couple of days after deployment, we can usually consider it successful."

Poor Response: "I make sure new features are thoroughly tested by QA before deployment. We have a risk assessment template that I fill out for each release, which helps identify potential issues. For critical systems, I schedule deployments during off-hours and make sure we have a rollback plan. If issues occur, our operations team can handle them while developers focus on fixing the underlying bugs."

3. Describe your experience with automation in systems administration or engineering.

Great Response: "I've built automation frameworks that reduced our deployment time from days to hours. I used tools like Ansible, Terraform, and GitLab CI/CD to create infrastructure as code for our entire environment. I approach automation iteratively, starting with identifying repetitive, error-prone tasks, then creating reusable modules that can be composed for different scenarios. I've automated not just deployments but also scaling, backup/recovery, and security compliance checks. My automation includes robust error handling and logging to avoid creating 'black boxes' that are difficult to troubleshoot."

Mediocre Response: "I've worked with several automation tools like Ansible and Jenkins. I've written scripts to automate server provisioning and application deployment. I've also set up some monitoring alerts that automatically create tickets in our system. Automation has helped us save time on repetitive tasks and reduced human error in our processes."

Poor Response: "I've used automation tools provided by our team to deploy applications and provision servers. I can write basic shell scripts to automate simple tasks like log rotation or cleanup jobs. For more complex automation, I usually rely on our DevOps specialists who maintain our CI/CD pipelines. I find the pre-built tools work well enough for most scenarios."

4. How do you stay current with new technologies and industry best practices?

Great Response: "I follow a multifaceted approach to continuous learning. I allocate 3-5 hours weekly to structured learning through platforms like Coursera and Pluralsight, focusing on both deepening my core expertise and exploring adjacent technologies. I actively participate in two industry-specific communities where I both learn and contribute through knowledge sharing. I follow thought leaders and key GitHub repositories relevant to my work, and I regularly experiment with new tools in personal projects before considering them for production. I also dedicate time to understand the 'why' behind new technologies by reading design documents and whitepapers rather than just learning the 'how'."

Mediocre Response: "I subscribe to several tech newsletters and follow industry blogs. I also attend webinars when they're relevant to my work. When we need to implement something new, I'll research the best practices online and sometimes take online courses to get up to speed. My company offers some training opportunities that I take advantage of when I can."

Poor Response: "I mainly learn about new technologies when we need to implement them at work. I rely on the documentation and tutorials provided by vendors. I also check Stack Overflow for solutions when I encounter problems. There are a few colleagues I consider mentors who help keep me informed about important industry developments."

5. How do you approach capacity planning for systems?

Great Response: "I take a data-driven approach to capacity planning, starting with establishing baseline metrics across CPU, memory, storage, network, and application-specific indicators. I implement predictive monitoring that identifies growth trends and seasonal patterns, then use statistical modeling to forecast future needs with confidence intervals. I collaborate closely with business stakeholders to understand upcoming initiatives that might impact demand. I plan for N+1 redundancy at minimum while optimizing costs through techniques like auto-scaling. I've found it effective to maintain a capacity planning document that's reviewed quarterly and includes both historical data and forward-looking projections."

Mediocre Response: "I monitor our current resource utilization and try to identify patterns of growth. I usually add about 20-30% extra capacity to account for unexpected spikes. When systems reach around 70-80% utilization, I start planning for upgrades or expansion. I keep track of upcoming projects that might require additional resources and factor those into my planning."

Poor Response: "I follow the vendor's sizing recommendations for our workloads and add some buffer. When we see performance degradation or get alerts about resources running low, I request additional capacity based on current utilization rates. Our cloud environment makes it easy to scale up when needed, so we don't have to worry too much about precise forecasting."

6. Tell me about a time when you had to implement a system with significant security requirements.

Great Response: "I led the implementation of a financial data processing system that needed to meet PCI DSS compliance requirements. I started by mapping out the data flows and conducting a threat modeling exercise to identify potential vulnerabilities. This informed our architecture decisions, including network segmentation with properly configured firewalls and implementing a zero-trust security model. I worked with our security team to implement defense in depth—combining encryption for data at rest and in transit, robust authentication with MFA, comprehensive logging, and automated compliance scanning. We also conducted regular penetration testing to validate our controls. The most valuable aspect was creating security champions within each team to ensure security was built into our development process rather than added as an afterthought."

Mediocre Response: "I worked on implementing a system that required SOC 2 compliance. We followed the security requirements provided by our compliance team, which included setting up access controls, encryption, and audit logging. We used a third-party tool to scan for vulnerabilities and fixed the high-priority issues before launch. We also conducted security training for all team members and created documentation of our security practices for the audit."

Poor Response: "I implemented a system where we needed to protect sensitive customer data. We followed the standard security practices like using HTTPS, implementing password policies, and setting up firewalls. We also made sure to encrypt the database and restrict access to only authorized personnel. Our security team performed a review before we launched and handled most of the compliance requirements."

7. How do you approach documentation for systems you build or maintain?

Great Response: "I view documentation as a critical deliverable, not an afterthought. I maintain different documentation types for different audiences—architecture diagrams and design decisions for engineers, runbooks with step-by-step procedures for operations, and clear handover documents for stakeholders. I've implemented a documentation-as-code approach, keeping our docs in version control alongside the infrastructure code, which ensures they evolve together. For critical systems, I create decision logs that capture not just what was decided but the context and constraints that led to those decisions. I've found that embedding documentation into the development workflow—for example, requiring architecture decision records for significant changes—ensures it remains current and valuable."

Mediocre Response: "I create technical documentation covering the system architecture, configuration details, and common troubleshooting steps. I try to update documentation when making significant changes to systems. I find diagrams particularly helpful for explaining complex systems, so I create those for new implementations. When time permits, I also document known issues and their workarounds."

Poor Response: "I document the basic system information like IP addresses, credentials, and the main configuration steps. For more detailed information, the code itself serves as documentation, especially with good comments. I create troubleshooting guides when issues come up repeatedly. Our team has templates we use for standard documentation needs."

8. Describe how you've handled a major system failure or outage.

Great Response: "During a critical database cluster failure that affected our core services, I first communicated the issue to stakeholders while simultaneously assembling a response team. I established a clear incident command structure with defined roles to avoid chaos. We prioritized restoring basic functionality through our standby systems while diagnosing the root cause. I maintained a separate channel for technical discussions and provided regular, jargon-free updates to business stakeholders. After restoration, I led a blameless postmortem that identified both technical failures and process gaps. The most valuable outcome wasn't just fixing the technical issues but implementing systemic improvements—enhancing our monitoring to detect precursor conditions, improving our failover testing procedures, and creating scenario-based playbooks for similar situations. We also established regular recovery drills to ensure readiness for future incidents."

Mediocre Response: "When we experienced a major network outage, I first checked our monitoring systems to identify the scope of the problem. I followed our incident response process, creating a ticket and notifying the appropriate team members. We identified that a configuration change had caused the issue and rolled back to the previous configuration. After resolving the immediate problem, we documented what happened and made some improvements to our change management process to prevent similar issues."

Poor Response: "During a system outage, I immediately started troubleshooting by checking logs and recent changes. I restarted the affected services to see if that would resolve the issue quickly. When that didn't work, I escalated to our network team who identified and fixed the root cause. Afterward, I documented the incident in our tracking system and implemented the fixes recommended by the network specialists."

9. How do you approach monitoring and alerting for the systems you manage?

Great Response: "I build monitoring systems around the concept of service-level objectives derived from business requirements. Rather than monitoring everything possible, I focus on golden signals—latency, traffic, errors, and saturation—supplemented by application-specific metrics that indicate user experience. For alerting, I distinguish between symptoms and causes, alerting primarily on user-impacting symptoms while using causal metrics for diagnosis. I implement alert tiers with different urgency levels and clear ownership. I've found that regular alert reviews are essential—we track alert fatigue metrics and have reduced our noise by over 60% by tuning thresholds and consolidating related alerts. I also use synthetic transactions to monitor from the user perspective, which has helped us catch issues before users report them."

Mediocre Response: "I set up monitoring for key metrics like CPU, memory, disk usage, and application-specific indicators. I configure alerts with appropriate thresholds based on typical usage patterns. I use dashboards to visualize system health and performance trends. For critical systems, I implement redundant monitoring methods. I periodically review alerts to reduce false positives and make sure we're covering all important aspects of the system."

Poor Response: "I use our standard monitoring tools to track system metrics and set up alerts when thresholds are exceeded. I configure email notifications for critical issues and less urgent alerts go to our ticketing system. The operations team handles 24/7 monitoring and contacts me if there's something they can't resolve. I rely on the built-in monitoring capabilities of the platforms we use as they're usually sufficient."

10. How do you balance technical debt repayment with delivering new features?

Great Response: "I approach technical debt strategically rather than treating it as a separate activity from feature development. I maintain a technical debt inventory that's quantified by impact and effort, not just a wishlist. For each project, I allocate 20-30% of capacity to debt reduction, focusing on items that either directly impact the area we're working on or represent significant organizational risk. I've found success in making debt visible through metrics like deployment frequency and mean time to recovery, which helps non-technical stakeholders understand its business impact. When advocating for dedicated debt repayment projects, I frame them in terms of concrete outcomes like reduced incident rates or improved development velocity rather than just 'cleaning up code'. This approach has allowed us to steadily improve our systems while still delivering business value."

Mediocre Response: "I try to include some technical debt work in each sprint or development cycle. When planning features, I identify opportunities to refactor related code that needs improvement. I keep a backlog of technical debt items and prioritize them based on their impact on system stability and development speed. For significant issues, I make the case to stakeholders for dedicated time to address technical debt by explaining how it will improve future delivery."

Poor Response: "I focus on meeting delivery deadlines first since that's the main priority for the business. When we have less busy periods, I allocate time to address technical debt. I maintain a list of technical improvements we should make and implement them when there's available time or when issues start affecting performance. The maintenance window in our release cycle is a good opportunity to tackle some technical debt."

11. Describe your approach to disaster recovery planning.

Great Response: "My approach to disaster recovery planning centers on business impact analysis—understanding recovery time objectives and recovery point objectives for each system based on business needs. I design recovery strategies that match these requirements, whether that's multi-region active-active deployment, warm standby systems, or backup-based recovery. I implement automated testing of recovery procedures; we regularly restore from backups and validate the data integrity and application functionality. We conduct quarterly disaster recovery simulations with rotating scenarios, treating them as 'game days' that test both our technical solutions and team coordination. I've found that maintaining runbooks with clear decision trees is essential for high-pressure recovery situations. After each test or actual incident, we refine our processes based on lessons learned."

Mediocre Response: "I establish backup procedures with appropriate frequency based on data importance. I document recovery procedures for different failure scenarios and keep them updated when systems change. We test our disaster recovery plan annually to make sure it works as expected and to familiarize the team with the procedures. I make sure we have redundancy for critical components and that we can recover within acceptable timeframes."

Poor Response: "I follow industry best practices for backups and redundancy. We have automated backup systems for all our critical data, and I periodically verify that the backups are being created successfully. We have documented procedures for restoring systems in case of failure. For critical systems, we maintain standby servers that can be activated if the primary systems fail."

12. How do you approach performance optimization for systems?

Great Response: "I take a methodical, data-driven approach to performance optimization. First, I establish clear, measurable performance objectives based on user experience requirements. Before making any changes, I build a comprehensive performance testing framework that can reliably reproduce user patterns at scale. When optimizing, I follow a cycle of measurement, hypothesis, change, and validation—always changing one thing at a time. I focus on identifying bottlenecks through profiling and tracing rather than making assumptions. In my experience, the most impactful optimizations often come from architectural changes like caching strategies or data access patterns rather than code-level tweaks. I've found that maintaining performance dashboards showing trends over time helps prevent regression and builds a performance-oriented culture within the team."

Mediocre Response: "I start by identifying the slowest components through monitoring and user reports. I use profiling tools to pinpoint specific bottlenecks and optimize the most problematic areas first. I try to balance quick wins with longer-term architectural improvements. After making changes, I measure the impact to confirm the optimization was effective. I also consider hardware upgrades or scaling when software optimizations aren't sufficient."

Poor Response: "When performance issues arise, I look for obvious problems like database queries without proper indexes or inefficient algorithms. I apply best practices like caching frequently accessed data and optimizing expensive operations. If application-level optimizations don't solve the issue, I recommend scaling up resources or adding more servers to handle the load. I follow the optimization recommendations provided by the tools and platforms we use."

13. How would you design a solution for high availability in a cloud environment?

Great Response: "I approach high availability design by first defining availability targets in numerical terms—99.9% vs 99.99% requires very different architectures. In cloud environments, I design for failure at every layer, assuming any component can and will fail. I leverage multiple availability zones with active-active deployment patterns, using load balancers with health checks to route traffic only to healthy instances. I implement stateless application tiers where possible, with state externalized to managed services with built-in replication. For databases, I use a combination of synchronous replication for durability and asynchronous replication for disaster recovery. Crucially, I build observability that detects degradation before failure and automates remediation where possible. I've found that chaos engineering practices—deliberately injecting failures in controlled environments—helps validate resilience assumptions and builds team confidence in the system's ability to handle real-world failures."

Mediocre Response: "I would deploy the application across multiple availability zones with auto-scaling groups to maintain the desired capacity. I'd use managed services where possible since they typically have better availability guarantees. For databases, I'd set up primary and standby instances in different zones. I'd implement health checks and automated failover mechanisms. I'd also ensure we have proper monitoring to detect issues quickly and respond before they affect users."

Poor Response: "I would use cloud provider features like load balancers and auto-scaling to handle traffic and maintain availability. I'd set up redundant instances of critical components and configure automated backups. I'd follow the cloud provider's best practices for high availability architecture. If one instance fails, the load balancer would direct traffic to healthy instances while new ones are provisioned automatically."

14. Tell me about your experience with container orchestration technologies.

Great Response: "I've led the migration of a monolithic application to a microservices architecture using Kubernetes. Beyond just deploying containers, I implemented a comprehensive platform that included CI/CD pipelines integrated with our container registry, network policies for service-to-service communication security, custom resource definitions for application-specific abstractions, and a robust observability stack with distributed tracing. I've dealt with the challenges of stateful workloads in Kubernetes, implementing operators for database management that handled scaling, backups, and version upgrades. One of the most valuable patterns I've implemented was a canary deployment strategy using service mesh capabilities, allowing us to gradually shift traffic to new versions while monitoring error rates. I've also focused on developer experience, creating abstraction layers that hide infrastructure complexity while maintaining necessary guardrails."

Mediocre Response: "I've worked with Kubernetes for deploying and managing containerized applications. I've set up clusters, deployed applications using manifests and Helm charts, and managed scaling and updates. I've implemented monitoring using Prometheus and handled basic troubleshooting of container issues. I've also worked with service discovery and ingress controllers to manage traffic to our services."

Poor Response: "I've used Docker for containerizing applications and have some experience with Kubernetes for orchestration. I can create Dockerfiles, build images, and push them to our registry. I follow established patterns for our Kubernetes deployments, using the templates and scripts our DevOps team has created. When issues occur, I check the container logs and restart pods as needed."

15. How do you approach security in your systems engineering work?

Great Response: "I integrate security as a fundamental aspect of systems engineering rather than treating it as a separate concern. I start with threat modeling during the design phase to identify potential vulnerabilities specific to our use case. I implement defense in depth—combining network segmentation, least privilege access controls, encryption, and comprehensive logging. I've built automated security scanning into our CI/CD pipeline, including dependency checks, static analysis, and container image scanning, with security gates that prevent deployment of vulnerable components. For runtime security, I've implemented behavioral monitoring that detects anomalies that signature-based approaches might miss. I maintain a vulnerability management program with clear SLAs for remediation based on risk. Perhaps most importantly, I've worked to build a security-conscious culture through regular training and by making security testing a normal part of our development process."

Mediocre Response: "I follow security best practices like implementing proper authentication and authorization, encrypting sensitive data, and keeping systems updated with security patches. I work with our security team to perform vulnerability assessments and address any findings. I implement network security controls like firewalls and VPNs for protected resources. I also ensure we have proper logging of security events and access to sensitive systems."

Poor Response: "I apply the security requirements provided by our security team and follow our organization's security policies. I implement standard security measures like using HTTPS, setting up firewalls, and restricting access to authorized users. I make sure to keep systems patched and updated to protect against known vulnerabilities. When security issues are identified, I prioritize fixing them according to their severity."

16. How do you ensure that systems you build are scalable?

Great Response: "I design systems for scalability from the outset by identifying potential bottlenecks through load modeling and architectural risk analysis. I separate stateless and stateful components, allowing independent scaling strategies for each. For stateless services, I implement horizontal scaling with load balancing, while for stateful components, I use strategies like data partitioning and replication. I prioritize asynchronous processing and event-driven architectures for workloads that can tolerate eventual consistency, which significantly improves scalability under load. I build comprehensive performance testing into our pipeline, including targeted component testing and full-system load testing that simulates projected growth patterns. Perhaps most importantly, I instrument systems with detailed metrics that show not just current performance but scaling efficiency—like how resource utilization grows relative to load—which helps identify non-linear scaling issues before they become problems."

Mediocre Response: "I design systems with modularity in mind so components can scale independently. I use distributed architectures and stateless design patterns where possible. I implement caching strategies to reduce database load and consider potential bottlenecks like database connections or network throughput. I conduct load testing to verify that the system can handle expected traffic volumes and identify scaling limits before they affect users."

Poor Response: "I make sure to choose technologies and platforms that support scaling, like cloud services with auto-scaling capabilities. I follow best practices for application design and optimize database queries that might cause performance issues under load. If we anticipate growth, I provision systems with extra capacity. When performance issues arise, I identify the bottlenecks and either optimize the code or add more resources."

17. Describe a situation where you had to make a difficult technical decision with limited information.

Great Response: "We needed to select a database technology for a new mission-critical application with unique requirements—high write throughput, complex querying capabilities, and strict availability requirements. With limited time for extensive evaluation, I created a decision framework with weighted criteria specific to our use case. Rather than trying to test everything exhaustively, I identified the three highest-risk requirements and designed focused proof-of-concepts to test just those aspects with representative workloads. I also reached out to my professional network to find organizations using these technologies at similar scale and arranged architecture reviews with their teams. When presenting options to stakeholders, I was transparent about unknowns and presented multiple viable options with their respective trade-offs rather than a single recommendation. We ultimately chose a solution that balanced our requirements while maintaining flexibility to adapt as we learned more. The key learning was that acknowledging uncertainty and building adaptability into the architecture was more valuable than seeking perfect information."

Mediocre Response: "We had to decide whether to upgrade a critical system with limited downtime available. I gathered as much information as I could about the risks and benefits of the upgrade. I reviewed the release notes and known issues, and consulted with colleagues who had performed similar upgrades. Based on this limited information, I decided to proceed with the upgrade but prepared a detailed rollback plan in case we encountered unexpected issues. The upgrade was successful, though we did face some minor issues that we were able to resolve quickly."

Poor Response: "We needed to choose between two technologies for a new project with a tight deadline. I didn't have time for extensive research, so I made the decision based on my previous experience with similar projects. I chose the technology I was more familiar with since it would allow us to deliver more quickly and with fewer unknowns. It was a pragmatic choice given the constraints, and the project was completed successfully."

18. How do you approach knowledge transfer and mentoring within your team?

Great Response: "I believe effective knowledge transfer requires both structured approaches and creating a culture where knowledge sharing is valued. I implement practices like rotation of responsibilities, paired programming for complex tasks, and architecture review sessions where team members present their designs for feedback. For critical systems, I organize 'developer tours' where we walk through the architecture, key decisions, and operational concerns. I've found that documentation alone is insufficient; I create learning paths with hands-on exercises for new team members to gain confidence with our systems. For mentoring, I focus on balancing guidance with autonomy—providing clear context and expectations while giving space for creative problem-solving. I also emphasize the importance of building a psychologically safe environment where questions are welcomed and mistakes are treated as learning opportunities rather than failures."

Mediocre Response: "I maintain documentation for systems I'm responsible for and make sure it's accessible to the team. When working on complex tasks, I sometimes pair with less experienced team members to share knowledge directly. I hold knowledge-sharing sessions when implementing new technologies or approaches. For mentoring, I try to be available for questions and provide guidance on technical problems. I also encourage team members to take on challenging tasks that will help them grow their skills."

Poor Response: "I document the systems I build and make myself available to answer questions from team members. When someone needs to take over a system I've built, I schedule handover sessions to walk them through the important aspects. I share useful articles or resources with the team when I find them. For mentoring, I review code and provide feedback to help others improve their work."

19. How do you balance the need for reliability with time-to-market pressures?

Great Response: "I approach this balance by recognizing that reliability and speed aren't always in opposition—in fact, certain practices enhance both. I start by establishing clear reliability targets with business stakeholders, quantifying the cost of downtime to inform these discussions. I implement CI/CD practices with comprehensive automated testing that allows us to move quickly while maintaining quality. For new features, I advocate for incremental rollouts using techniques like feature flags, canary deployments, and automated rollbacks, which allow us to release quickly while minimizing risk. When time pressure is extreme, I negotiate scope rather than cutting corners on reliability fundamentals like monitoring, rollback capability, or security. I've found that maintaining an 'error budget' framework helps make these trade-offs explicit and data-driven rather than reactive. The key is viewing reliability work as an enabler of sustained velocity rather than a competing priority."

Mediocre Response: "I try to identify the minimum reliability requirements that must be met for each feature or system. For critical functionality, I ensure we maintain high reliability standards even under time pressure. For less critical features, I might take calculated risks to meet deadlines. I advocate for automated testing to catch issues early without slowing down development. When faced with tight deadlines, I focus on core functionality first and ensure it's reliable before adding additional features."

Poor Response: "I prioritize meeting deadlines while ensuring basic functionality works correctly. I implement the standard testing procedures our team has established and fix any critical issues before release. For non-critical issues, I create tickets to address them in future iterations. When time is limited, I focus on the features that provide the most business value and ensure they're working properly, even if it means deferring some secondary features or optimizations."

20. How would you approach migrating a critical system to a new technology or platform?

Great Response: "For critical system migrations, I follow a progressive approach that minimizes risk while providing incremental value. I start with comprehensive discovery—documenting current system behavior, performance characteristics, and dependencies, often using automated tools to ensure accuracy. Rather than a 'big bang' migration, I identify components that can be migrated independently and establish a coexistence strategy—whether that's using API facades, data synchronization, or feature toggles. I implement extensive monitoring before any changes to establish baselines and detect deviations quickly. For the migration itself, I use techniques like blue-green deployments or traffic mirroring to validate the new system under real-world conditions without affecting users. Throughout the process, I maintain clear rollback paths and decision criteria for continuing or reverting. Perhaps most importantly, I involve operations teams early in the planning process and conduct 'game day' exercises to build confidence in both the new system and our ability to address issues that arise during the transition."

Mediocre Response: "I would start by thoroughly understanding the current system and its requirements. I'd create a detailed migration plan with phases and milestones, including testing at each stage. I'd build a proof of concept to validate the new technology works for our use case. During implementation, I'd migrate in stages where possible, starting with non-critical components. I'd implement parallel operations where both old and new systems run simultaneously until we confirm the new system is working correctly. I'd also ensure we have a rollback plan in case unexpected issues arise."

Poor Response: "I would research the new technology thoroughly and create a migration plan based on best practices. I'd schedule the migration during a maintenance window to minimize disruption. I'd make sure we have backups of the current system before starting the migration. I'd follow a checklist of tasks to ensure all components are migrated correctly. After migration, I'd verify the system is working properly through testing and monitoring. If issues arise, I'd either fix them quickly or implement our rollback plan."