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Could you help me understand more about your background by giving a brief introduction of yourself. Uh, yes. Hi. I'm Gunishree. I'm an, uh, full stack developer, um, uh, team leader. Uh, so I have been, uh, working in Vinodna since, uh, like, from 2018. Uh, there I have started as a full stack developer working with Angular, React, and Node. Js with the combination of MongoDB database. Uh, there I have developed more, uh, more websites, web applications, and, uh, uh, some ecommerce websites. Uh, there I have worked with numerous projects after working in for two and a half years. I have been promoted to a team lead. Uh, they're then I have led a team of 5 members, and the team, uh, includes, uh, a a couple of front end developers and back end developers. So we developed that we worked on a project called ERP. It's for enterprise pricing, uh, application for manufacturing company. Uh, it has numerous modules like a sales, say, sales, finance, operations, warehouse, uh, users, admins, settings, and all. And, uh, next, after working in, I have moved from to with a thorough tech client. There, I have been working to a application in the frame tent. Uh, it's an application for mining company. So, uh, uh, so far, I have five and a half years of experience in technologies, Angular, Node, React, uh, JavaScript, uh, HTML, CSS, and, uh, AWS servers. Like, in AWS servers, I know e two instant e two instances where I have created numerous number of instances deploying Angular projects and known projects and then connecting them to the domains. Then I I know about s uh, I I have experience in SCS and, uh, s three bucket in AWS. And, also, I know, like, CMS is like WordPress and Shopify. In WordPress, I have developed more than 5 websites in there with maintaining SEO, uh, standards and, uh, coding standards. So, also, like, I have worked with our website called TopWorkflow where this website, uh, is much similar to Udemy. Uh, we can create a user can come and purchase the mod, uh, courses and then apply for jobs and all. So that's all about me. Uh, thank you.

If introduced into an existing REACT application that has state management entangled throughout various components, how would you refactor for better state management principle? So if I was given an opportunity for an existing REACT application, so first I would check the code format, like how it's going on, how is the first checking the whole code, how the state management is there, like identifying the stateful components, like by starting identifying components that manage state and where state is being passed down through properties and then centralizing the statements, like management solutions such as Redux or Contest API if you use REACT, like moving all application levels straight into a central store, making it easier to manage and update the state across components, separate consents, refactor components to separate consents between presentation components and container components. Presentation components like should focus on rendering UI elements while container components are responsible for managing state and passing data to presentation components. Next, normalize state where appropriate, especially for complex data structures and break down state into smaller, more manageable pieces and store them separately in the state management solution. This promotes reusability without affecting other parts of the application and using immutable data, ensure that a state is treated as immutable to prevent unexpected side effects and making the state updates predictable, like using immutable data structures or libraries like immutable.js to enforce immutability and facilitate state updates. Also using refactor stateful logic within components and extracting into separate functions or utilities, avoiding placing complex logic directly within component lifecycle methods or event handlers, instead encapsulating logic in pure functions or side effect management libraries like Redux or Saga, Redux Saga or Thunk, and normalizing component dependencies like refactoring components to reduce dependency on global state, pass down only the necessary states and callbacks through props, avoiding unnecessary coupling between components and the state management solution.

If you were to create an interface in React that enables user to schedule drone flights, How would you handle time zone conversions and scheduling scheduling conflicts. Uh, like, for enabling users to, like, schedule, uh, drone to schedule drone flights, uh, Like, we should, uh, like, it should be for handling the time zone conversions and scheduling conflicts. Uh, like, we can use moment dotjs or DataAffinance to handle time zone conversions in the JavaScript. It is an inbuilt, uh, inbuilt library. Uh, when a user selects date and time for a drone flight, uh, like, converting it to UTC before sending it to the back end for storage and processing, This ensures all the flight times are stored in a consistent time zone, uh, displaying the fight flight times in the user's local time zone to provide a familiar experience, uh, converting UTC time to display, uh, user's time zone before displaying them in the interface, preventing scheduling conflicts through implementing validation on the front end to check for scheduling conflicts before submitting a new flight request. Uh, fetch existing flight schedules from the back end and compare them with the proposal flight time to check for conflicts. Uh, displays displaying, uh, warning messages or error messages if, uh, conflict is detected, uh, informing the user that the selected time is unavailable due to existing to an existing flight, uh, like, providing options for the user to adjust the flight time or select an alternative date or time if conflicts arise. Uh, also, like, some using some back end validations, like implementing additional validation on the back end to check for scheduling conflicts and to make sure the data integrity, uh, use a server logics to enforce business rules and constraints, uh, related to flights, uh, returning appropriate res to the front end if conflicts are detected during back end validation, informing the user of the reason for, uh, validation failure. Uh, conflict resolution, like providing options for resolving conflict scheduling conflicts if they occur, such as allowing user to override conflicts and with administrative privileges or suggesting alternative flight times that are available, implementing, uh, conflict resolution strategies based on the specific requirements of the application and the preferences of the user, and taking, uh, feedback from the users, like providing clear feedback to users throughout the scheduling process, indicating whether the proposed flight time is available or if conflicts needed to be addressed, uh, displaying informative messages and instructions to guide users in resolving conflicts and selecting suitable flight times.

When building a single page application with React and Node.js, what approach would you take to manage session states across client and server? So when building a single page application on the client side and the Node.js on the server side, managing session state across client and server involves several considerations like session management on the server side, implementing session management on the server side using session middleware like expression session for Node.js, configuring the session middleware to store session data in a persistent storage mechanism such as database or a session store like Redis. This ensures that session data is maintained across server restart and can be accessed from multiple server instances if necessary, generating a unique session identifier for each client session and store it in a secure HTTP or cookie, send to the client authentication and authorization like implementing user authentication and authorization mechanisms on the server side to validate user credentials and restrict access to authenticated users upon successful authentication, store user-related information in the session data to associate the session with a specific user, use middleware to protect routes that require authentication checking the session straight before allowing access to protected resources, client-side session handling, use React router to define client-side routes and navigation within the SPAR, implement logic in React components to interact with server-side APIs for user authentication and session management, like also handling user login or logout actions by sending requests to the server to authenticate users and manage session state accordingly. Also like we can use API endpoints for session management, defining API endpoints on the server side for handling user authentication, session creation, session validation and session termination, implement RESTful APIs or GraphQL endpoints to handle client requests related to session management such as logging in, logging out, checking session status and secure communication, use HTTPS to ensure secure communication between the client and the server and secure encryption data transmitted over the network, implement security best practices to prevent common vulnerabilities such as cross-site scripting, cross-site request frequency.

how would you enhance an e-commerce react application indexed DB to efficiently manage a shopping carts straight across multiple sessions to enhance e-commerce react application with indexed DB to efficiently manage shopping carts like we can follow some steps like implementing indexed DB for local storage setup index the DB to store shopping cart data locally on the client's device define an indexed database with tables or objects stored or to store shopping cart items along with their quantities and other relevant information synchronized with server side data implement a synchronization logic to ensure that logic shopping cart data stored in indexed DB stays in sync with the server side data periodically synchronize the local shopping cart with server to update product availability prices and other relevant information use using web sockets attacks request for other communication mechanisms to send updates from the client to server vice versa also to implement user authentication to associate shopping carts with specific user account like storing user authentication tokens or session IDs in indexed DB to identify users across multiple sessions ensuring that only authenticated users can access and modify their shopping carts managing offline mode implement offline support to allow like users to browse and modify the shopping carts even when they are offline queuing changes made to the shopping cart while offline and synchronizing with the server ones and the user goes online again and use service workers or other client side caching mechanisms to improve the performance of the offline mode also like optimizing the data structure of indexed database to be efficient with store and retrieve shopping cart handling edge cases like implementing error handling and recovery mechanisms to handle edge cases such as failure server downtime or unexpected errors testing and optimization test the indexed DB implementation thoroughly to ensure that shopping cart data is sorted stored and synchronized correctly across multiple sessions monitor the performance of the indexed operations and optimize them for efficiency especially for large shopping carts or high volumes of concurrent users by enhancing like ecommerce react application with indexed for efficient shopping cart management across multiple sessions you can provide users with a seamless and reliable shopping experience

What would you consider leveraging IndexedDB over a local storage in a high performance React PWA and, uh, y. So in order to consider leveraging, uh, like, when deciding whether to leverage index or the DB over local storage in a high performance, uh, reactive progressive web app. Like, considering storage capacity, like, uh, IndexedDB offers significant larger storage capacity, compared to local storage. If, uh, if you are if if the application needs to store a large amount of data, especially structured data or complex objects, index DB is a better choice as it can handle larger sets more efficiently, Querying and indexing, like, equerying and indexing in the index DB allows us to create indexes and perform efficient queries on structured data, uh, making it, uh, suitable for applications that require a complex data retrieval and filtering operations. Like, if you your application needs to perform, like, advanced queries or, uh, search operations on on stored data, IndexedDB provides better support for these requirements compared to uh, local storage. And coming to the performance, optimize it for performance, especially for handling large datasets and complex data retrieval operations. It typically offers better performance than, uh, local storage, particularly for the applications with a high volume of data or frequently data access data access patterns. Offline support, uh, IndexedDB uh, provides a better support for offline data storage and synchronization compared to local storage. Like, if your PWA needs to support offline usage and sync data with the server when the connection is disturbed, the index DB is a more suitable choice as it offers more flexibility and capabilities for managing offline data data structure. Indexing DB allows you to store structured data and define complex data schemes, uh, using object stores and indexes. Uh, if your application needs to store and manipulate structured data, IndexedDB provides a more robust and flexible data storage solution compared to local storage, which is limited to storing simple key values, like and also browser support. IndexedDB supported all modern web browsers, including those that support PWS while local storage is also widely supported. And Nexidia offers more advanced advanced features and capabilities making it preferred to choice for the modern applications.

Looking at this JavaScript, uh, react com the snippet, can you explain why it may cause infinite loop and suggested way to it? Looking at this JavaScript React component snippet, can you explain why it might cause an infinite loop and suggest a way to fix it. Class my component extends react dot component. Component did update function. This dot set state update too. The set state, uh, with the triggers are rendered of the component after the render. Uh, after the rerender, the component did update the life cycle method is called a gain. Like, within the component, uh, within the component, it updates and status again called without any condition to break the loop. So this leads to container cycle of rerenders and calls to component component looping, uh, resulting in that, uh, infinite

By examining this 5 script code block, can you pinpoint the design principle being broken and explain what adjustment need to be made to follow the solid principles? Here, uh, as the load control is there, so everything is written everything is taken as void. So void means, like, we don't know whatever it returns, and, uh, and we can see in the object, it's it's all, uh, given as a comment. And when we drone when we use drone dot, uh, render data, there is nothing that is going to be rendered, and they are they are not properly, uh, properly given or or properly, uh, given, like, coming to the solid principles in TypeScript. Uh, there are, uh, uh, some solid, uh, design uh, like, some single, uh, some, uh, rules that need some principles that need to be followed, uh, like, dependency inversion principle either to the IP by dependency on abstraction rather than concrete implementation following the SPY segregating interfaces into smaller, more focused units that are tailored to the needs of clients, uh, added to the LSP by ensuring that derived types can be substituted for the base types without affecting the base types, uh, the correctness of the program.

How do you ensure the overall performance when refactoring an old javascript codebase i.e. moving to the latest version of react and employing tailwind css while refactoring an old javascript codebase including migrating to latest version we could have done the performance throughout the process like performance benchmarking start by benchmarking the current performance of our application like using lighthouse google page speed insights or web-based stress distance provides a baseline for compaction after the refactor identifying performance bottlenecks analyzing the existing codebase to identify performance bottlenecks such as slow rendering excessive re-renders, insufficient or inefficient data fetching or heavy DOM manipulation use profiling tools like chrome dev tools to pinpoint areas that need optimization react migration strategies when migrating to latest version of react consider using incremental adoption strategies like react's strict mode or the migration guide provided by react's official documentation this allows us to gradually update components and libraries while minimizing disruptions and performance impacts optimizing rendering like utilizing react's memorization techniques such as react.memo and use memo to optimize rendering and prevent unnecessary re-renders of component implementing virtualization techniques like windowing or designation to efficiently render a large list or data sets reducing the amount of DOM nodes and improving rendering performance code splitting and lazy loading like employing code splitting and lazy loading techniques to synchronously load non-essential parts of our application reducing initial bundle size and improving the time to interactivity use react subspaces and react.lazy features to dynamically load components and the data only when needed improving precipit performance optimizing network request review data fetching logic and optimize network request by reducing the number of requests minimizing payload size and leveraging caching mechanisms where applicable example HTTP caching service workers or client caching like considering graphql for more efficient data queuing and edging

How would you leverage the merit stack alongside GraphQL to streamline the development of a scalable customer analytics dashboard? How would you leverage the merit stack alongside GraphQL to streamline the development of a scalable customer analytics dashboard? Like we can first set up the dashboard, configure the MongoDB, set up Express, integrate GraphQL with Express, like using a GraphQL server library like Apollo Server or Express GraphQL to create GraphQL endpoint on our Express.js server, define GraphQL schemas and results to specify the types of data available in our application and how to fetch the data, initializing a React application to serve as the front end of our customer analytics dashboard setup, set up components to display data and user interfaces, integrating Apollo Client with React, like integrating Apollo Client to interact with GraphQL endpoint from your React application, configure Apollo Client to send GraphQL queries to your Express.js server, defining GraphQL queries to fetch data for your customer analytics dashboard. These queries can retrieve customer data, sales metrics, engagement metrics, etc. Also, like defining GraphQL mutations to update or modify data in MongoDB database, these mutations can be used to create new records, updating existing records, or delete records as needed.

Illustrate how would you use gPRPC within a Node. Js context to manage interservice communications in a microservice architecture. Like, we can you if we we can define buffers, uh, like writing dot porta file to define the service interface and message types using protocol buffer syntax. This file specifies the service methods, request, and response message formats, and, uh, generating Node. Js client and server code, like, using the protocol buffer compiler along with the jrpc Node. Js plug in to generate client and server code from dot proto file running the, uh, also, like, implementing gRPC server service defined in dot proto file in Node. Js server use, uh, like, using the codes. That's