Technical Interviewer’s Questions

1\ how do you approach debugging a performance issue in a web application? great response "i follow a systematic approach starting with metrics collection i'd use chrome devtools to profile load times, identifying slow components through network and performance tabs for backend issues, i'd leverage logging and apm tools like new relic or datadog to pinpoint bottlenecks i'd analyze database query performance using explain plans and look for n+1 query patterns after identifying the issue, i'd implement targeted optimizations perhaps adding indexes, implementing caching, code splitting, or lazy loading components then measure again to verify improvements throughout the process, i'd document my findings for the team's knowledge base " mediocre response "i usually check chrome devtools to see what's loading slowly i look at the network tab to find slow requests and then optimize those parts sometimes i'll add caching or check if there are too many database queries i might also try to reduce image sizes or minify javascript if that helps " poor response "i typically add console log statements to track down where things are getting stuck if the database seems slow, i might add some indexes if it's a frontend issue, i usually just try to simplify the code or use a cdn for assets if i can't figure it out quickly, i'd probably ask a senior engineer to take a look at it since they have more experience with these issues " 2\ explain your approach to ensuring security in a full stack application great response "security needs to be addressed at multiple layers on the front end, i implement proper input validation, sanitize data, prevent xss with context aware escaping, and use csp headers for the backend, i ensure parameterized queries to prevent sql injection, implement proper authentication with libraries like passport js or auth0, and use jwts with appropriate expiration for authorization, i build role based access control and follow the principle of least privilege i regularly update dependencies using tools like npm audit or dependabot, encrypt sensitive data at rest and in transit using tls, and implement rate limiting to prevent brute force attacks i also believe in regular security audits and following owasp guidelines " mediocre response "i make sure to validate inputs on both client and server sides i use https for all communications and store passwords with bcrypt hashing i keep dependencies updated to avoid known vulnerabilities and implement authentication using jwt tokens i also make sure to sanitize user inputs to prevent xss attacks " poor response "i rely on frameworks that have security built in, like react or angular on the frontend and express with middleware on the backend i use authentication libraries and make sure passwords are hashed for anything more complex, i'd follow the security team's guidelines or use a third party service like auth0 to handle authentication most modern frameworks handle the basic security concerns if you use them correctly " 3\ how do you handle state management in a complex frontend application? great response "my approach to state management depends on the application's complexity and requirements for simpler applications, i might leverage react's context api with hooks like usereducer for predictable state transitions for more complex apps, i'd consider a dedicated state management library redux works well for centralized state with complex interactions, while mobx shines for reactive applications i'm also comfortable with newer options like zustand or jotai for specific use cases i organize state by domain and separate local ui state from global application state to avoid performance issues, i implement selective rendering using memoization, selectors for derived state, and ensure immutability i also implement proper error handling and consider offline capabilities when necessary " mediocre response "i usually use redux for larger applications because it provides a central store and makes debugging easier with redux devtools i create actions and reducers organized by feature, and connect components that need access to the state for smaller apps, react's context api and usestate/usereducer hooks are usually sufficient " poor response "i typically start with component state using usestate, and when components need to share state, i lift it up to a common ancestor if the app gets complex, i'll add redux because that's what most companies use i create a store with different reducers and connect components to it i've found that putting most things in redux makes it easier to manage, even if it means writing more code " 4\ describe your experience with database design and optimization great response "i approach database design by first modeling entities and their relationships based on domain requirements, normalizing to reduce redundancy while being pragmatic about denormalization for performance when needed i'm experienced with both sql (postgresql, mysql) and nosql (mongodb, dynamodb) databases and choose based on data structure, query patterns, and scalability needs for optimization, i focus on proper indexing strategies, analyzing query execution plans, and rewriting inefficient queries i've implemented database sharding, read replicas for scaling read operations, and caching layers with redis or memcached i'm also familiar with techniques like database partitioning, using materialized views for complex aggregations, and implementing connection pools to manage resources efficiently " mediocre response "i've worked mostly with sql databases like mysql and postgresql i understand how to create tables with proper relationships using foreign keys and how to normalize data to avoid duplication for optimization, i know how to add indexes to columns that are frequently searched and how to use explain to analyze query performance i've also used some nosql databases like mongodb for projects where the schema needed to be more flexible " poor response "i typically design tables based on the features we need, making sure to include all the fields required i add indexes to primary keys and any fields used in where clauses if queries run slowly, i try adding more indexes or sometimes denormalize the data to reduce joins for really complex performance issues, i'd consult with a database administrator since they specialize in optimization techniques " 5\ how do you approach testing in a full stack application? great response "i believe in a comprehensive testing strategy that includes multiple layers on the frontend, i write unit tests with jest for business logic and react testing library for component behavior, focusing on user interactions rather than implementation details i implement integration tests to verify component interactions and end to end tests with cypress or playwright for critical user flows for the backend, i write unit tests for business logic, service tests for api endpoints with mocked dependencies, and integration tests that verify database interactions i use test doubles appropriately stubs for controlled output and mocks to verify interactions i aim for high coverage of critical paths rather than arbitrary coverage percentages, implement ci/cd pipelines to run tests automatically, and use snapshot testing selectively tdd has been valuable for complex features where requirements are clear " mediocre response "i usually write unit tests for the frontend with jest and react testing library, and for the backend using frameworks like mocha or jest i try to mock external dependencies and databases during testing for more complex features, i'll add integration tests that check if components work together correctly i also implement some end to end tests with tools like cypress for critical user flows " poor response "i focus on writing tests for the most important functionality since we often have tight deadlines i use jest for the frontend and whatever testing framework is standard for the backend language i test the happy paths to make sure the basic functionality works correctly for more comprehensive testing, i rely on our qa team to catch edge cases during their testing phase manual testing during development also helps catch obvious issues before they reach qa " 6\ explain how you would implement authentication and authorization in a web application great response "for authentication, i'd implement a jwt based system with refresh tokens to balance security and user experience i'd store the access token in memory (not localstorage) to prevent xss attacks, with refresh tokens in http only cookies to mitigate csrf with proper same site attributes i'd implement proper password policies with bcrypt or argon2 for hashing, and add 2fa for sensitive applications for authorization, i'd build a role based access control system, possibly extended with attribute based rules for fine grained permissions i'd verify permissions on both client and server, with the server being the source of truth for the frontend, i'd create hocs or hooks that check permissions before rendering protected components i always follow the principle of least privilege and implement proper logging for security events " mediocre response "i'd use jwt tokens for authentication, storing them in localstorage after the user logs in for the backend, i'd validate the token on protected routes using middleware i'd hash passwords with bcrypt before storing them in the database for authorization, i'd implement roles in the user model and check them on the backend before allowing access to certain resources i'd also create protected routes on the frontend that redirect unauthorized users " poor response "i usually rely on authentication libraries or services like auth0 or firebase authentication since they handle most of the security concerns i'd implement login and signup forms that connect to these services, then use their sdk to handle tokens and session management for authorization, i'd add roles to the user object and create middleware to check if users can access certain routes on the frontend, i'd conditionally render ui elements based on the user's role " 7\ how do you ensure your code is maintainable and scalable? great response "i focus on clear architecture and separation of concerns i implement design patterns appropriate to the context, favor composition over inheritance, and apply solid principles – particularly single responsibility and dependency inversion for testable, modular code i maintain consistent naming conventions and coding standards enforced by linters and formatters like eslint and prettier i write self documenting code with meaningful function and variable names, complemented by comments explaining 'why' not 'what' for frontend, i build reusable components with clear interfaces and implement state management that scales with application complexity on the backend, i design services with clear boundaries and consider future horizontal scaling i regularly refactor to eliminate tech debt, conduct code reviews to share knowledge, and document architectural decisions and trade offs with tools like adrs " mediocre response "i try to follow common design patterns and principles like dry and solid i break down my code into reusable components or functions and organize files by feature i use meaningful variable and function names and add comments for complex logic i also make sure to use linters and formatters to maintain consistent code style across the team for scalability, i try to think about performance and optimize database queries " poor response "i focus on getting features working correctly first, then clean up the code when there's time i try to use components from our existing codebase as templates for new features to maintain consistency i follow the project's established patterns even if they're not ideal sometimes for complex parts, i add detailed comments so others can understand what's happening when performance issues arise, i address them specifically rather than trying to optimize everything upfront " 8\ what's your approach to handling api design and development? great response "i start api design with clear understanding of domain models and use cases, following rest principles for resource oriented apis or considering graphql for flexible data requirements i design urls around resources with appropriate http methods and status codes, ensuring idempotent operations where required i implement consistent error handling with meaningful status codes and error messages, include pagination for collection endpoints, and version apis to manage changes without breaking clients i document thoroughly using openapi/swagger, emphasizing clear contracts for implementation, i build with security in mind authentication, authorization, input validation, and rate limiting i design for performance with database optimization, appropriate caching headers, and consider implementing a bff pattern for frontend specific needs finally, i ensure observability through comprehensive logging and monitoring " mediocre response "i follow restful principles for api design, organizing endpoints around resources i make sure to use the correct http methods for different operations and return appropriate status codes i validate inputs on the server side and handle errors consistently i try to include pagination for endpoints that return lists and document the api with tools like swagger i also implement authentication using jwt tokens for protected endpoints " poor response "i usually create endpoints based on what the frontend needs, focusing on making them work efficiently with our ui i try to follow rest conventions when possible, but sometimes it's more practical to create custom endpoints that return exactly what a specific page needs i make sure the responses are in json format and include error messages when something goes wrong for documentation, i comment the code well so other developers can understand how to use each endpoint " 9\ how do you approach responsive web design and mobile first development? great response "i embrace a mobile first strategy, beginning with designing and developing for the smallest screens first i use responsive design principles with flexible grid layouts and css features like flexbox and grid for complex layouts media queries are implemented at strategic breakpoints based on content needs rather than specific devices i leverage relative units like rem, em, vh/vw, and percentage over fixed pixels for flexibility for images, i implement responsive techniques like srcset, picture elements, and appropriate formats like webp with fallbacks i test on actual devices across different browsers and screen sizes throughout development using tools like browserstack i also consider performance implications for mobile users by optimizing assets, implementing code splitting, and carefully managing third party scripts progressive enhancement ensures core functionality works everywhere while enhancing experience on capable browsers " mediocre response "i follow mobile first principles by building the mobile layout first and then adding complexity for larger screens using media queries i use css flexbox and grid for layouts that adapt to different screen sizes i test the site on various screen sizes during development using browser dev tools for images, i make sure they're responsive using max width 100% and sometimes use srcset for different resolutions i also ensure touch targets are large enough for mobile users " poor response "i typically use css frameworks like bootstrap or tailwind that have responsive features built in i add the appropriate responsive classes to elements so they adjust based on screen size for custom components, i add media queries as needed to fix layout issues on different screens i check how the site looks on mobile using chrome's device emulation tool during development if there are specific mobile requirements, i handle those after getting the desktop version working correctly " 10\ describe how you optimize a web application for performance great response "i approach performance optimization holistically across the entire stack for frontend, i implement code splitting and lazy loading with tools like webpack, optimize the critical rendering path by minimizing render blocking resources, and use performance techniques like tree shaking to reduce bundle size i optimize assets with proper formats (webp, avif for images) and compression, implement responsive images with srcset, and leverage browser caching with appropriate cache headers for javascript, i use web workers for cpu intensive tasks, virtualize long lists, and implement debouncing for frequent events on the backend, i optimize database queries with proper indexing and query analysis, implement appropriate caching strategies (redis/memcached for application data, cdns for static assets), and use connection pooling i make data driven optimization decisions based on metrics from lighthouse, web vitals, and real user monitoring, focusing on user centric metrics like lcp, fid, and cls " mediocre response "i use tools like lighthouse to identify performance issues on the frontend, i minimize bundle sizes using code splitting, optimize images, and implement lazy loading for components that aren't immediately visible i make sure to use proper caching strategies for static assets on the backend, i optimize database queries by adding appropriate indexes and implement caching for expensive operations i also implement pagination for large data sets to reduce initial load times " poor response "when performance becomes an issue, i look for the obvious bottlenecks first i compress images and minify javascript and css files if the site is slow to load, i might implement some lazy loading for images or components that aren't immediately needed for backend performance, i add indexes to database tables that are queried frequently if a specific feature is still slow after these optimizations, i'd consider using a more specialized solution or technology for that particular feature " 11\ how do you handle error handling and logging in a production environment? great response "i implement comprehensive error handling across the stack with a defense in depth approach on the frontend, i use global error boundaries in react to gracefully handle rendering failures, implement try/catch for async operations, and capture unhandled promise rejections and global errors i use a service like sentry to track frontend errors with proper context and user information for the backend, i implement a centralized error handling middleware that normalizes errors and provides appropriate http responses while preserving details for logging i follow structured logging practices using tools like winston or pino with consistent log levels, contextual information, and correlation ids to track requests across services in production, i aggregate logs using elk stack or similar solutions, implement alerts for critical errors with proper prioritization to avoid alert fatigue, and regularly review error trends to proactively address recurring issues i ensure sensitive data is never logged by implementing proper redaction " mediocre response "i implement try/catch blocks for error prone code and create error handling middleware for api endpoints that return appropriate status codes and messages for logging, i use libraries like winston or pino to record errors with different severity levels i make sure to include relevant context like request ids and user information when logging errors in production, we send logs to a centralized system where we can search and analyze them we also set up alerts for critical errors that need immediate attention " poor response "i add try/catch blocks around code that might fail and log errors to the console or to log files for api endpoints, i return error messages with appropriate status codes so the frontend can display them to the user when something breaks in production, i check the logs to figure out what happened for particularly important features, i might add extra logging to help with debugging later if we have persistent issues, i'd suggest implementing a service like sentry to track errors better " 12\ explain your approach to code reviews great response "i view code reviews as collaborative learning opportunities rather than just finding bugs when reviewing others' code, i start by understanding the context and requirements before diving into details i look for correctness, performance implications, security concerns, test coverage, and maintainability issues while following a checklist to ensure consistency i use a constructive tone, ask questions rather than making demands, and explain the reasoning behind suggestions with code examples when helpful i prioritize comments by importance to focus on what matters most when receiving reviews, i approach feedback with openness, ask clarifying questions, and view critiques as opportunities to improve i avoid being defensive and take time to understand the reviewer's perspective i believe reviews should be iterative and timely small, frequent prs are easier to review thoroughly than massive changes code reviews are also valuable knowledge sharing opportunities where teams can develop collective coding standards and practices " mediocre response "when reviewing code, i check if it works as expected, follows our team's coding standards, and doesn't introduce security issues i look for appropriate test coverage and potential performance problems i try to be constructive in my feedback and explain the reasoning behind my suggestions when receiving feedback, i listen to the reviewer's concerns and make changes accordingly, or explain my approach if i think it's justified " poor response "i focus on making sure the code works correctly and follows the basic project structure i check for obvious bugs or edge cases that might have been missed if the code passes tests and doesn't break existing functionality, i usually approve it without too many comments since we need to keep moving forward when my code is being reviewed, i try to implement the suggested changes quickly to avoid delaying the merge, especially for urgent features " 13\ how do you keep up with new technologies and industry trends? great response "i maintain a structured approach to continuous learning i subscribe to curated newsletters like javascript weekly and follow thought leaders on platforms like twitter and github i regularly allocate time to read technical blogs from companies whose engineering i respect, like airbnb and stripe i participate in the developer community through local meetups and conferences when possible, both as an attendee and occasionally as a speaker, which deepens my understanding i'm selective about which technologies i learn deeply versus those i just monitor i evaluate new tools against specific problems rather than chasing trends i implement proof of concepts for promising technologies in side projects to gain hands on experience i also contribute to open source occasionally and engage in communities like stack overflow to make learning sustainable, i build it into my routine with dedicated time blocks and share knowledge with colleagues through internal tech talks or documentation, which reinforces my own understanding " mediocre response "i follow several developer blogs and youtube channels that cover web development i also subscribe to newsletters that summarize important updates in the javascript ecosystem when i have time, i build small projects to try new technologies or frameworks i try to attend at least one or two conferences a year and participate in some online communities like stack overflow or reddit programming forums " poor response "i mainly learn new technologies when projects require them i look up tutorials and documentation when i need to use something new i also occasionally check sites like medium for articles about web development trends when the team decides to adopt a new technology, i focus on learning that specifically i've found that many trends come and go quickly, so i prefer to focus on mastering the core technologies that have proven staying power " 14\ how do you balance technical debt against delivery deadlines? great response "i approach technical debt strategically rather than treating it as universally bad i categorize debt based on risk and business impact some debt is deliberate and appropriate when time to market is critical i communicate the implications of technical decisions to stakeholders using non technical language and concrete metaphors, explaining how debt affects future velocity and reliability i advocate for regular debt reduction time, around 20% of sprint capacity, focusing on high impact areas first i maintain a technical debt inventory with estimated impact and remediation cost to make informed prioritization decisions when deadlines are tight, i look for compromise solutions that meet immediate needs while minimizing long term debt, such as implementing a simpler solution with clean interfaces that can be refactored later i also prevent unnecessary debt through team practices like code reviews, clear architecture documentation, and automated quality checks the goal isn't zero debt but rather managed debt that aligns with business priorities " mediocre response "i try to maintain a balance by identifying which technical debt will cause the most problems in the future for urgent deadlines, i'll sometimes take shortcuts but document them as technical debt to address later i advocate for dedicating some time in each sprint to addressing the most critical technical debt i also try to refactor code incrementally as i work on features to gradually improve the codebase without requiring dedicated refactoring time " poor response "my priority is usually meeting the deadlines first, especially for features that customers or stakeholders are waiting for i try to write clean code as i go, but sometimes you have to make compromises to ship on time when the pressure eases after a release, that's when i look for opportunities to clean up technical debt i find it's better to have working software with some technical issues than perfect code that's delivered late " 15\ describe your experience with microservices architecture great response "i've worked with microservices across several projects and understand both their benefits and challenges i approach microservices design by decomposing along business domain boundaries following ddd principles, ensuring each service has a single responsibility with its own data store i've implemented various communication patterns synchronous rest/grpc for direct queries and asynchronous event driven patterns with message brokers like kafka or rabbitmq for complex workflows i emphasize resilience with circuit breakers, retries, and timeouts using libraries like resilience4j i've set up comprehensive monitoring with distributed tracing (jaeger/zipkin) to track requests across services, centralized logging, and metrics collection for deployment, i've used containerization with docker and orchestration with kubernetes, implementing ci/cd pipelines for independent service deployment i've learned that microservices aren't always the right choice they add complexity and should be justified by specific scaling or team organization needs managing distributed transactions and maintaining data consistency are particular challenges i've addressed through patterns like saga " mediocre response "i've worked on a project where we broke down a monolithic application into several microservices each service had its own database and communicated through rest apis we used docker for containerization and deployed to kubernetes i understand the benefits like independent scaling and deployment of services, as well as the challenges like distributed data management and the need for service discovery i've implemented patterns like api gateway and used tools like consul for service discovery " poor response "i've used microservices in my previous role where we had separate services for different functions of the application each team was responsible for their own services, which made development faster we communicated between services using rest apis and deployed them separately there were some challenges with debugging issues across services, but overall it worked well for our team structure i'd need to learn more about advanced patterns if we were implementing a complex microservices architecture from scratch " 16\ how do you handle cross browser compatibility issues? great response "i take a proactive approach to cross browser compatibility, starting with feature detection using libraries like modernizr rather than browser detection i establish a clear browser support matrix with the team and stakeholders based on analytics and business requirements to avoid unnecessary polyfills i use progressive enhancement principles building core functionality with widely supported features first, then enhancing with modern capabilities where available for css, i leverage postcss with autoprefixer to handle vendor prefixes automatically and use feature queries (@supports) for progressive enhancement i maintain a comprehensive testing strategy with automated cross browser testing using tools like browserstack or sauce labs integrated into our ci pipeline, complemented by manual testing for critical user flows when browser specific bugs arise, i document them in a knowledge base with solutions and workarounds for javascript, i use transpilation with babel and polyfills selectively bundled based on browser targets to minimize bundle size while ensuring functionality " mediocre response "i test my applications in major browsers like chrome, firefox, safari, and edge i use tools like babel and postcss to transpile modern javascript and add css prefixes automatically for specific compatibility issues, i check resources like caniuse com to see which features need polyfills or alternative implementations i also set up automated testing with tools like browserstack to catch compatibility issues early when i encounter browser specific bugs, i implement targeted fixes using feature detection " poor response "i mainly develop in chrome since it's the most popular browser, but i make sure to check the application in other major browsers before releasing i use frameworks and libraries that handle most compatibility issues automatically when specific issues come up, i search for solutions online and add fixes or polyfills as needed for older browsers like ie11, i'd add special handling if the project requires supporting them, but i try to convince stakeholders to drop support for outdated browsers when possible " 17\ explain your approach to ci/cd and deployment automation great response "i view ci/cd as essential for maintaining quality and velocity for ci, i implement automated pipelines that run on every commit, performing static analysis with tools like eslint and sonarqube, executing comprehensive test suites across multiple levels (unit, integration, e2e), and validating build artifacts i emphasize keeping the ci pipeline fast by parallelizing tests and implementing test selection strategies that prioritize tests relevant to changes for cd, i implement environment promotion strategies with automated deployments to development and staging environments, with production deployments requiring explicit approval in most cases i use infrastructure as code with tools like terraform or cloudformation to ensure environment consistency and implement blue green or canary deployment strategies to minimize risk for monitoring deployments, i integrate automated health checks, synthetic monitoring, and feature flagging systems that allow for quick rollbacks or progressive feature releases i also emphasize post deployment validation with automated smoke tests and monitoring for error rate spikes the entire pipeline is designed to provide fast feedback loops while maintaining quality gates " mediocre response "i set up ci pipelines using tools like jenkins or github actions that run tests automatically when code is pushed this includes unit tests, integration tests, and linting to catch issues early for cd, i configure automated deployments to development and staging environments, with production deployments typically requiring manual approval i use docker to ensure consistency between environments and implement health checks to verify successful deployments i also make sure to include proper logging and monitoring to track the performance of new deployments " poor response "i use ci/cd tools like github actions or gitlab ci to automate the build and deployment process i set up pipelines that run tests before allowing merges to the main branch for deployment, i typically create scripts that handle the deployment steps automatically this saves time and reduces human error compared to manual deployments if something goes wrong after deployment, we can quickly roll back to the previous version i mostly focus on getting the basics working reliably rather than implementing complex deployment strategies " 18\ how do you handle database migrations and schema changes in production environments? great response "i approach database migrations as critical operations requiring careful planning and execution i use version control for database schemas with migration tools appropriate to the stack (like liquibase, flyway, or orm specific tools) each migration is designed to be forward only and backward compatible with the previous application version when possible, enabling zero downtime deployments i write migrations that are idempotent and atomic, with both 'up' and 'down' scripts for rollback capability for high risk changes, i implement a multi phase approach first adding new structures without modifying existing ones, then gradually transitioning data and functionality, and finally removing obsolete structures after ensuring stability before production deployment, i test migrations thoroughly on production like datasets to verify performance characteristics and identify potential issues for critical systems, i implement database blue green deployments or use read replicas to minimize impact post deployment, i monitor database performance closely for any anomalies throughout the process, i document schema changes and their implications for the team " mediocre response "i use database migration tools like flyway or sequelize migrations to manage schema changes in a controlled way each migration is versioned and tracked in source control alongside the application code before applying migrations to production, i test them thoroughly in development and staging environments for potentially risky migrations like schema changes on large tables, i schedule them during off peak hours and have rollback scripts prepared i make sure the application is compatible with both the old and new schema during the transition period " poor response "i create migration scripts using our orm's migration tools to update the schema i run these migrations during deployment when user traffic is low for simple changes like adding columns, i just let the migration run normally for more complex changes to large tables, i might coordinate with the team to schedule a brief maintenance window i always backup the database before running migrations in case we need to restore it if something goes wrong i test the migrations in our staging environment first to catch any obvious issues " 19\ how do you ensure accessibility in your web applications? great response "i integrate accessibility throughout the development process rather than treating it as an afterthought i follow wcag 2 1 aa standards as a baseline and incorporate semantic html elements that convey meaning to assistive technologies i implement proper focus management, ensuring keyboard navigation works logically with visible focus indicators and proper tab order for dynamic content, i use aria attributes judiciously where html semantics are insufficient, following the first rule of aria don't use it when native html can do the job i ensure proper color contrast ratios of at least 4 5 1 for normal text and design for various vision impairments i test with actual assistive technologies like screen readers (nvda, voiceover) and keyboard only navigation i've integrated automated testing tools like axe or lighthouse into our ci pipeline while recognizing their limitations they catch only about 30% of issues, so i complement them with manual testing and accessibility audits i also create reusable, accessible component libraries with built in accessibility to maintain consistency across projects " mediocre response "i follow wcag guidelines and use semantic html elements like nav, header, and button instead of generic divs i make sure all images have proper alt text and forms have appropriate labels i test keyboard navigation to ensure users can access all functionality without a mouse i check color contrast to make sure text is readable and use tools like lighthouse or axe to identify accessibility issues i also make sure dynamic content updates are announced to screen readers using aria live regions when necessary " poor response "i try to use the right html elements for their intended purpose and add alt text to important images i use the accessibility checker in our development tools to find obvious issues and fix them when possible for more complex accessibility requirements, i'd need to consult with specialists or use external tools to test the application if the project specifically requires accessibility compliance, i'd follow the guidelines provided by the client or look up the wcag standards " 20\ how do you design and implement caching strategies in a web application? great response "i approach caching strategically, first identifying what data is appropriate for caching based on update frequency, personalization level, and performance impact on the frontend, i implement browser caching with appropriate cache control headers, leveraging etags for validation and strategic use of immutable for static assets with versioned filenames i use service workers for offline capabilities and faster repeat visits, complemented by memory caching for ui state and expensive calculations within the application for api responses, i implement http caching properly and use custom application caching with versioned keys for user specific data on the backend, i implement a multi level caching strategy with in memory caches like redis for frequently accessed data, using ttl values appropriate to each data type's freshness requirements for database query caching, i focus on expensive, frequently run queries while maintaining cache invalidation hooks when underlying data changes i carefully handle cache invalidation using techniques like key based expiration, pub/sub for distributed invalidation, and versioned cache keys i also implement monitoring to detect cache hit ratios and optimize cache sizes accordingly, and use stale while revalidate patterns for high availability scenarios " mediocre response "i implement different levels of caching depending on the application needs on the client side, i use browser caching with proper headers for static assets and implement in memory caching for frequently accessed data in the application state for api responses, i cache them in localstorage or indexeddb when appropriate on the server side, i use redis or memcached for caching database queries and api responses, setting appropriate ttl values based on how frequently the data changes i make sure to invalidate caches when the underlying data changes to prevent serving stale data " poor response "i add caching for static assets using cache control headers so browsers can store css, javascript, and images locally for dynamic data, i use redis to cache database query results that are expensive to compute when data changes, i clear the related caches manually or set relatively short expiration times so users will eventually get fresh data for very dynamic parts of the application, i avoid caching altogether since it can cause more problems than it solves when data gets out of sync "