Full Stack Web Development Internship Program
- 29k Enrolled Learners
- Weekend/Weekday
- Live Class
Do you know? The U.S. Bureau of Labor Statistics projects that by 2024, there will be approximately 853,000 jobs available for these professionals, up from 135,000 today. In addition to many job opportunities, this career is also one of the highest paid. Explore our list of the top 40 Full Stack Developer Interview Questions to ace your next tech interview!
The role of Full Stack Web Developer is one of the most dynamic and sought-after positions in the technology industry. These professionals have a wide range of skills that enable them to work at the front and back ends of web development. With that in mind, it is one of the most sought job profiles among developers, so the full stack developer interview questions are going to be advanced too. But we have narrowed down the list and divided the Full Stack developer interview questions for Freshers, Experienced, and an MCQ list.
Let’s have a look at the interview questions for full stack developers:
Full-stack development builds web applications from the ground up, handling both the user-facing side (front-end) and the internal workings (back-end).
Front-end:
Back-end:
A full stack developer is responsible for both the front-end and back-end development of websites and applications. They design user interfaces, ensuring a seamless and visually appealing experience for users, and also handle server-side logic, including database management. Their role involves integrating various technologies to create and maintain fully functional web applications, making them versatile professionals in the tech industry.
To be a successful full stack developer, you need a blend of technical and soft skills.The following are the skills needed to be a full stack developer:
Front-End Technologies:
Back-End Development:
Database Management:
Version Control and Git:
Basic Design Ability:
CORS, or Cross-Origin Resource Sharing, is a security feature in web browsers. It allows or restricts web applications from making requests to a domain different from the one that served the web page. This mechanism is crucial for enabling secure cross-domain requests and preventing malicious site attacks.
The idea of inversion of control (IoC) in software engineering refers to the transfer of control of objects or parts of a program to a container or framework. The program flow is no longer under the direction of a programmer but rather of an external framework. This method is frequently used to improve modularity and decouple components in programs, which makes them more flexible, manageable, and testable.
Dependency injection is a design pattern used in software development to achieve inversion of control between classes and their dependencies. It involves supplying objects (dependencies) to a class instead of the class creating them itself. For example, consider a class car that needs an engine. Instead of creating the engine inside the car class, the engine is created externally and passed to the car at the time of its creation. This approach makes code more modular, easier to test, and adaptable to changes.
Continuous integration (CI) is a development practice where members of a team integrate their work frequently; usually, each person integrates at least daily. This leads to multiple integrations per day. Each integration is verified by an automated build and automated tests to detect integration errors as quickly as possible. This approach aims to minimize the difficulties in integrating code changes from multiple developers, ensuring that the software being developed is always in a state that can be deployed to users.
Polling is a form of client-server communication in which the client periodically requests updates from the server. Two common types of surveys are the long survey and the short survey.
Both methods have their uses: long polling offers near-real-time updates, while short polling offers simplicity and efficiency at the expense of potentially increased network traffic.
Aspect | Full Stack Engineer | Full Stack Developer |
Focus | Broader engineering knowledge | Primarily, software development |
Skills | Extensive hardware and software | Proficient in software stack |
Responsibilities | May involve hardware design | Focused on software solutions |
Scope | Encompasses both front-end and back-end development | Primarily deals with software development. |
Versatility | Adaptable to various tech stacks | Adaptable within software technology |
Job Titles | Can be a software engineer, system engineer, etc. | Typically referred to as a Software Developer |
Both full-stack engineers and full-stack developers possess a wide range of skills, but the key distinction lies in their scope and focus, with engineers often having a broader engineering knowledge encompassing hardware, whereas developers primarily focus on software solutions.
The observer pattern is a behavioral design pattern used in software development. It establishes a one-to-many relationship between objects, where one object (known as the subject or observable) maintains a list of dependent objects (observers) that are notified of any changes to the subject’s state. When the subject’s state changes, it automatically informs all its observers, ensuring that they stay up-to-date without needing to be explicitly polled.
This pattern promotes loose coupling between the subject and its observers, making it easy to add or remove observers without affecting the subject’s core functionality. The Observer pattern is commonly used in various software scenarios, including implementing event handling systems, user interface updates, and decoupled communication between components in an application.
Determining the single “most preferred” language for full-stack developers is tricky, as preferences often depend on project needs and individual experience. However, some languages consistently rank highly due to their versatility and popularity:
Ultimately, the ideal language choice depends on individual preference, project requirements, and the specific needs of the front-end and back-end components. Many full-stack developers also choose to be proficient in multiple languages for greater flexibility and adaptability.
Pair programming is a software development technique where two programmers work together on the same computer to write code. One person, the “driver,” actively writes code while the other, the “navigator,” reviews the code, provides input, and helps spot errors. They switch roles regularly. This collaborative approach offers several benefits. It improves code quality through real-time code review, encourages knowledge sharing, and helps catch bugs early. It fosters creativity and problem-solving as two minds tackle challenges together. Pair programming also promotes communication and teamwork, making it an effective way to enhance productivity and produce higher-quality software.
In asynchronous programming, callback hell, often referred to by the term “the pyramid of doom,” is a common issue, especially in languages like JavaScript. It happens when you have a lot of callbacks inside callbacks, making the code difficult to understand, read, and update. Deeply nested callback functions result when working with asynchronous actions, such as managing events or submitting API calls, when one activity depends on the result of another.
asyncFunction1(function (result1) { asyncFunction2(result1, function (result2) { asyncFunction3(result2, function (result3) { asyncFunction4(result3, function (result4) { Continue nesting if needed }); }); }); });
In this code, each function call is asynchronous, and they are nested inside one another, creating a deeply indented and hard-to-read structure.
The latest trends in full-stack development for 2024 revolve around several key technologies and approaches:
To stay updated on these trends, it’s essential to follow industry blogs, attend relevant webinars and conferences, participate in online communities and forums, and continuously explore and experiment with new technologies and tools.
Aspect | GraphQL | REST (Representational State Transfer) |
Data Fetching | The client specifies the data it needs | The client receives a fixed set of data |
Endpoint Structure | Single flexible endpoint (usually /graphql) | Multiple endpoints for different resources |
Over-fetching | Eliminates over-fetching and gets only required data | The common problem of over-fetching data. |
Under-fetching | Eliminates under-fetching and gets all needed data in one request | Often requires multiple requests for related data. |
Request Control | The client controls the shape and depth of the response | The server determines the structure of the response. |
Versioning | There is no need for versioning; clients request only what they need | May require versioning to support changes. |
Schema | Schema-driven with a defined type system | No strict schema; relies on documentation. |
Caching | Fine-grained caching using queries | Caching based on HTTP methods and headers. |
Response Size | Smaller responses, reducing bandwidth usage | Potentially larger responses due to fixed structure. |
Tooling | Strong tooling for introspection and documentation | Based on the platform and framework. |
CRUD Operations | Supports custom operations beyond CRUD (e.g., mutations) | Primarily follows CRUD operations (GET, POST, PUT, DELETE). |
Adoption | Gaining popularity for modern APIs | Widely used and established convention. |
Multithreading is a programming concept in which a single program is split into multiple threads, each of which can run independently and concurrently. Threads share the same memory space and resources as the main process, allowing more efficient use of CPU cores and better responsiveness in applications.
For example, consider a web browser. If you open multiple tabs without multiple threads, they can load one after the other, causing delays. Multithreading allows each tab to run as a separate thread and load content simultaneously. This improves the user experience by making browsing faster and more responsive because the processor can multitask. Multithreading is particularly useful in situations where tasks can be combined in parallel, improving the efficiency and effectiveness of different software programs.
Benefits of using “use strict” in JavaScript:
Drawbacks:
// Without strict mode x = 10; // Variable x is implicitly declared in the global scope. console.log(x); // Outputs 10 // With strict mode "use strict"; y = 20; // Throws a ReferenceError: y is not defined. console.log(y); // This line won't be executed due to the error.
In the example, “use strict” prevents the unintentional creation of global variables, helping to catch potential bugs early.
Docker is a descriptive framework that simplifies the deployment and management of applications by packaging them and their dependencies into transparent, self-contained containers. It has many uses, including:
Example: Let’s say you want to deploy a web server using Docker. You can create a Docker file that represents your web server configuration and dependencies and build a Docker image from it. Finally, you can run multiple instances of the same image on different servers, providing a consistent and efficient way to host web applications.
In Node.js, event handling is an important part of efficiently managing asynchronous operations. It continuously checks for pending tasks and executes them when they are ready, allowing Node.js to handle multiple tasks at the same time without blocking the main thread. Here is a simple example:
</pre> const fs = require('fs'); // Asynchronous file reading fs.readFile('example.txt', 'utf8', (err, data) => { if (err) throw err; console.log(data); }); // Continue executing other tasks while waiting for the file read console.log('Reading file...'); // The event loop handles the file read in the background // When it's ready, it calls the callback function provided // Meanwhile, the code can proceed with other tasks <pre>
In this example, using the event handler, the program is printing and reading the file, etc. Continue doing other work while you wait for the file to be read. Once the file is read, the provided callback is called to process the data.
Here are five key strategies to reduce the load time of your web applications:
Implementing these technologies will help you improve your web applications and load times, resulting in a better user experience and better performance.
Blue/green Deployment:
Concept: It contains two parallel environments: blue (the current version) and green (the new version). One of these is always alive.
Process: First, the blue environment is activated. When the updates are ready, they will be published in a green environment. After testing and certification, the vehicle goes from blue to green. If one goes wrong, you can quickly switch back to blue.
Disadvantages: Maintaining two environments requires two resources.
Rolling deployment.
Concept: Replace samples from the old version with a new one.
Process: Updates are distributed to a small number of servers or bots. Once it is confirmed to work, the update will be rolled out to other servers and performed regularly.
Advantages: It consumes fewer resources and can be tested in real environments.
Disadvantages: Regressions are more complex and can cause temporary differences in release time.
Blue/Green Usage: This image represents a blue/green deployment strategy. You will see two separate server environments. One is blue (represents current activity) and the other is green (represents new activity). The transition between the two shows the transition from the blue environment to the green, showing the ease and security of this delivery method.
Rotary Delivery: This image shows a transfer delivery strategy. Shows the sequence of servers or systems being upgraded from an old version (shown in gray) to a new version (shown in bright color). This elegant system-wide process reflects the continuous nature of revolutionary liberation.
Inversion of Control (IoC) is a design principle in software engineering where the control of objects or portions of a program is transferred to a container or framework. It’s about inverting the flow of control compared to traditional procedural programming: rather than the caller controlling the flow, the framework or container takes control and calls into user-defined functions or objects.
Examples of IoC:
Dependency Injection (DI): This is a form of IoC where dependencies (objects or services) are injected into a component rather than the component creating them internally. For instance, if a class ReportGenerator requires a DataAccess object, instead of instantiating the DataAccess inside, it is passed to ReportGenerator (injected) via constructor, method, or property.
Event Handling in GUIs: In graphical user interfaces, the flow of control is inverted. The application provides specific functionality (like a button click handler), but it’s the framework (GUI framework) that calls these functions based on user interactions, like a button click.
Template Method Design Pattern: This pattern in object-oriented programming allows subclasses to redefine certain steps of an algorithm without changing the algorithm’s structure. The control is inverted here, as the superclass controls the flow of execution and the subclasses implement the variable parts.
In summary, IoC reverses the flow of control compared to traditional programming methodologies, making programs more modular and easier to test, maintain, and extend.
Referential Transparency in functional programming refers to an important property of expressions in a program. It means that an expression can be replaced with its corresponding value without changing the program’s behavior. This concept is vital in functional programming because it allows for predictable and consistent behavior, making reasoning about and testing the program easier.
Let’s consider an example in a functional language like Haskell:
addTwoNumbers x y = x + y |
Here, addTwoNumbers is a simple function that adds two numbers. If we have a call to this function like addTwoNumbers (5, 3), referential transparency allows us to replace this call with 8 (since 5 + 3 = 8) anywhere in the program without changing the behavior of the program. This is possible because the function addTwoNumbers does not have any side effects (like modifying global variables, I/O operations, etc.) and always gives the same output for the same input.
This feature makes functional programs easier to understand and debug because the same expression always returns the same result, no matter where or how many times it is used. It also enables advanced features such as lazy evaluation, where expressions are evaluated only when necessary.
Factor | Normalization | Denormalization |
Purpose | To reduce data redundancy and improve data integrity. | To improve the performance of read-heavy database operations. |
Process | It involves dividing a database into two or more tables and defining relations between the tables | It involves combining multiple tables into a single table. |
Data Redundancy | Reduced, as data is organized into separate tables. | Increased as data is merged and duplicated across multiple tables. |
Data Integrity | High, due to the minimized redundancy and well-defined relationships. | Can be compromised due to the increased redundancy. |
Performance | Slower for read operations due to the need for joins. | Faster for read operations as it requires fewer joins. |
Complexity | Higher, as it involves managing multiple tables and relationships. | Lower, as it involves fewer tables and simpler relations. |
Use Case | Preferred in systems where maintaining data integrity is crucial and write operations are more common. | Preferred in systems where speed of read operations is critical and the database size is not excessively large. |
Scalability | More scalable in terms of managing growing data. | Can face challenges in scaling with significantly large amounts of data. |
Maintenance | More complex due to multiple tables and relationships. | Simpler as it involves fewer tables. |
Updates | Can be slower and more complex due to the spread of data across tables. | Faster and simpler, as related data is often in the same table. |
This table summarizes the key differences between normalization and denormalization in database design, each with its own advantages and trade-offs depending on the specific requirements and context of the database application.
A Java connection leak, especially in database programming, occurs when the connection to the database is not properly closed after it has been used. When you open a connection to a database, it consumes resources. If these connections are not explicitly closed, they remain open and use resources unnecessarily, which can lead to the exhaustion of existing connections. This is called “connection leakage.”. This can seriously impact an application and even cause the application to crash when the database can no longer handle connections.
It is very important to follow resource management best practices to avoid connection leaks.
Here are the main steps to fix and prevent connection leaks.
Try with resources (Java 7 and later): This function automatically closes resources (e.g., database connections) after a try block is executed. This ensures that the resource is closed even if an exception is thrown
try (Connection conn = dataSource.getConnection()) { // Use connection here }
Proper Exception Handling: If you’re not using try-with-resources, ensure you close the connection in a finally block. This guarantees that the connection is closed even if there’s an exception.
Connection conn = null; try { conn = dataSource.getConnection(); // Use connection here } catch (SQLException e) { // Handle exception } finally { if (conn != null) {
In JavaScript, a promise is an object that represents the possible completion or failure of an asynchronous operation. It is an efficient way to manage asynchronous operations, providing more flexible and readable code structures compared to traditional callback-based approaches.
A promise has three states:
If a promise is fulfilled or rejected, it is considered fulfilled. Once a promise is made, its state cannot change; it becomes immutable. This feature is important because it ensures consistency; once a promise is resolved or rejected, you can be sure that it won’t suddenly change to another state or value.
Following are the differences between GET and POST:
Aspect | GET | POST |
Request Data | Appends data to the URL | Sends data in the request body |
Data Visibility | The data is visible in the URL | The data is not visible in the URL |
Data Length | Limited by URL length limits | Not limited by URL length |
Security | Less secure for sensitive data | More secure for sensitive data |
Caching | Can be cached by browsers | Typically not cached by browsers |
Idempotence | Generally considered idempotent | Not necessarily idempotent |
Usage | Used for data retrieval | Used for data submission or update |
A web service architecture known as a Representational State Transfer (RESTful) API adheres to a collection of principles and limitations that facilitate communication and interaction between servers and clients, such as web browsers or mobile applications, via the HTTP protocol. RESTful APIs are designed with simplicity, scalability, and statelessness in mind, rendering them a popular option for constructing web services and APIs.
In the following passage, we provide a concise elucidation of RESTful API utilization:
RESTful APIs exploit HTTP methods like GET, POST, PUT, DELETE, and others to execute CRUD (Create, Read, Update, Delete) operations on resources, thereby allowing diverse clients to effortlessly consume and comprehend the data.
The use of RESTful APIs encompasses the subsequent fundamental principles:
Resource-Based: In the context of a RESTful API, every element is regarded as a distinct resource, and each resource is uniquely identified by means of a Uniform Resource Locator (URL). For instance, within the framework of a RESTful API designed for a blog, URLs such as “/posts” are employed to display a comprehensive list of all blog posts, while URLs like “/posts/1” enable access to a specific post.
Stateless: REST APIs are characterized by their stateless nature, which implies that every request made by a client to a server must encompass all the necessary information for comprehending and fulfilling the said request. The server, in turn, does not retain any record of client state between individual requests.
CRUD Operations: RESTful APIs provide support for the customary CRUD operations. Clients employ HTTP methods such as GET (read), POST (create), PUT (update), and DELETE (delete) to interact with various resources.
The Uniform Interface of RESTful APIs utilizes a coherent and precisely defined collection of HTTP methods, status codes, and headers, thereby offering a standardized and easily comprehensible interface for clients.
The process of transferring data between the client and server occurs in a standardized format, such as JSON or XML, which facilitates the consumption and comprehension of the data by diverse clients.
HATEOAS (Hypermedia as the Engine of Application State) enables RESTful APIs to incorporate hyperlinks within their responses, empowering clients to dynamically navigate the API and explore the available actions.
The design of RESTful APIs prioritizes scalability, enabling efficient handling of a substantial volume of concurrent requests.
Full-stack network development frequently makes use of the MEAN stack technological stack. It consists of four main components: Angular, a JavaScript front-end framework; Express.js, a web application framework for Node.js; MongoDB, a NoSQL database; and Node.js, a server-side runtime. When combined, these technologies enable developers to create scalable and dynamic online applications. Data is skillfully stored by MongoDB in a format that is adaptable and similar to JSON. The server-side logic is managed by the Express.js script. Conversely, Angular handles the user interface with skill.The MEAN stack promotes efficient development, code reuse, and the ability to build modern, responsive web applications with a single, consistent technology stack.
While the information contained in the API is publicly available, data scraping cannot technically be completely prevented. However, it is possible to minimize the activity of robots (automated computer programs on the Internet that perform certain tasks) by controlling or rarely limiting them. A rare limit can prevent a specific device from making an unlimited number of requests for a certain period of time. If too many requests are made beyond the specified limit, an HTTP error 429: Too Many Attempts will be displayed. It is important to record more than just the device’s IP address, as the IP address is not unique for each device and can prevent the entire network from accessing the API.
Aspect | MVC (Model-View-Controller) | MVP (Model-View-Presenter) |
Basic Concept | Separates an application into three interconnected parts: the model (data), the view (UI), and the controller (business logic). | Similar separation as MVC, but the presenter handles the business logic, acting as an intermediary between the model and the view. |
User Interaction | The Controller handles user interactions and updates the Model, which in turn updates the View | The View handles user interactions and passes these actions to the Presenter, which manipulates the Model. |
Data Flow | Controller manipulates the Model, and the View gets updated after Model changes. | Presenter updates the View based on changes in the Model. The View is more passive, only forwarding actions to the Presenter. |
Component Dependency | View is dependent on the Model. | View is independent of the Model, which makes it easier to mock in unit testing. |
Complexity & Use Case | MVC is traditionally used for web applications where the controller is responsible for handling HTTP requests. | MVP is often used in client-side applications, especially those requiring extensive user interaction and complex UI logic. |
Flexibility | The View and Controller are closely linked, making the View often less reusable. | The Presenter acts as a middle layer that decouples the View from the Model, leading to more flexibility and reusability of the View component. |
In summary, while both MVC and MVP aim to separate concerns in an application, MVP offers more decoupling between the View and the Model, often resulting in easier unit testing and more reusable View components. MVC, on the other hand, is a more traditional pattern and is commonly used in web application frameworks.
The Temporal Dead Zone (TDZ) in ES6 (ECMAScript 2015) refers to a behavior associated with variables declared using let and const. The TDZ is the period where a variable is in a “state” where it cannot be accessed before its declaration and initialization. This is a significant change from how variables declared with var behave, as var declarations are hoisted to the top of their enclosing scope and can be accessed (with undefined value) before their actual declaration in the code.
For your reference, this is an example :
</pre> console.log(myVar); // undefined, due to hoisting console.log(myLet); // ReferenceError: Cannot access 'myLet' before initialization console.log(myConst); // ReferenceError: Cannot access 'myConst' before initialization var myVar = "var value"; let myLet = "let value"; const myConst = "const value";
33. What is event bubbling and capturing in JavaScript?
Event Bubbling and Capturing in JavaScript is referred as the process by which events are transmitted within the DOM (Document Object Model) is commonly referred to as the ‘Event Flow’ in the context of JavaScript. The event flow dictates the specific order or sequence in which a given web page receives an event. Consequently, event flow or propagation in JavaScript is contingent upon the subsequent factors:
Event Bubbling: Event Bubbling entails the event being captured and handled initially by the innermost element, subsequently propagating to the outermost element. Events progress upwards through the DOM tree from child elements until the highest element is addressed.
Event Capturing: Conversely, Event Capturing involves the event being captured and addressed initially by the outermost element, subsequently propagating to the innermost element. Event cycles propagate commencing with the wrapper elements and concluding with the target elements that initiated the event cycle.
By asking this question, the interviewer is able to determine the full-stack web developer’s process and whether or not he is competent and attentive when choosing the appropriate toolkit.
You should be as specific as you can when describing the reasoning behind selecting a given collection of tools. You have to show that you are capable of developing the web application’s front end and back end. It’s acceptable to have more expertise in one aspect of the application development process than the other, but you must show that you can manage both.
ACID in database systems is an acronym that stands for Atomicity, Consistency, Isolation, and Durability. These are the key properties that ensure reliable transaction processing in a database management system (DBMS).
Rolling deployment and blue-green deployment are both strategies used for deploying applications, but they differ significantly in their approach and risk management.
In rolling deployment, the update is gradually rolled out to instances of the application in phases. This means that during the deployment, different instances of the application might be running different versions. It allows for a more gradual transition and minimizes downtime since only a portion of the instances are taken down at any one time. However, it can lead to a temporary inconsistency in the application’s behavior and requires that the different versions be compatible.
Blue-green deployment, on the other hand, involves maintaining two identical environments: the ‘blue’ (current) and the ‘green’ (new). Once the new version is ready and tested in the green environment, the traffic is switched from the blue to the green environment. This approach allows for immediate rollback in case of issues, as the blue environment remains unchanged until the switch. However, it requires double the resources since two full environments must be maintained.
Referential transparency is a basic idea in functional programming and logic. This refers to the feature of program expressions in which any phrase can be replaced by its equivalent without affecting the program’s behavior. This concept is essential for justifying program behavior and enabling program analysis and optimization.
A referentially transparent expression is one that continually returns the same result with the same input, implying that it has no side effects. This indicates that expression and assessment are independent of the system’s status and have no effect on it. Functions, for example, are referentially transparent in pure functional programming languages: given the same input values, the function always returns the same result.
Design patterns in software engineering are typically categorized into three main types:
Examples include Strategy, Observer, Command, Iterator, Mediator, Memento, State, Visitor, and Template Method.
Each pattern addresses a specific problem or issue in object-oriented software development, providing a kind of template solution that can be applied in various situations.
Reducing the load time of a web application is crucial for enhancing user experience and improving performance. Here are some common strategies:
Aspect | Server-Side Scripting | Client-Side Scripting |
Execution location | Runs on the server | Runs in the user’s browser |
Processing speed | Typically slower | Faster execution |
Access to server data | Has direct access to server | Limited access to server |
Page loading | Slower initial page load | Faster initial page load |
Security | More secure | Less secure |
a) Defining page structure
b) Styling web pages
c) Managing server infrastructure
d) Creating databases
Answer: b) Styling web pages
a) HTML
b) CSS
c) JavaScript
d) Python
Answer: c) JavaScript
a) Designing databases
b) Handling server infrastructure
c) Working on both front-end and back-end
d) Managing project budgets
Answer: c) Working on both front-end and back-end
a) Automated JavaScript and XHTML
b) Asynchronous JavaScript and XML
c) Advanced JavaScript and XML
d) Asynchronous JSON and XML
Answer: b) Asynchronous JavaScript and XML
a) Sending data to the server
b) Retrieving data from the server
c) Updating data on the server
d) Deleting data from the server
Answer: b) Retrieving data from the server
a) Defining the character encoding of the page
b) Specifying the document title
c) Controlling the display of a web page on mobile devices
d) Defining the page’s primary content
Answer: c) Controlling the display of a web page on mobile devices
a) NoSQL
b) Relational
c) Document-oriented
d) Key-Value
Answer: b) Relational
a) The user interface
b) The database
c) The server logic
d) The URL routing
Answer: a) The user interface
a) Managing project budgets
b) Tracking changes in the codebase
c) Designing user interfaces
d) Optimizing database queries
Answer: b) Tracking changes in the codebase
a) 200
b) 404
c) 500
d) 302
Answer: a) 200
a) A type of server-side scripting language
b) A file used to store client-side data
c) An HTML element for creating forms
d) A database management system
Answer: b) A file used to store client-side data
a) To write server-side scripts
b) To manage dependencies and packages
c) To create HTML documents
d) To design user interfaces
Answer: b) To manage dependencies and packages
a) Managing client-side scripts
b) Storing user data
c) Serving web pages to clients
d) Handling server-side logic
Answer: c) Serving web pages to clients
a) Remote Endpoint State Transfer
b) Representational State Transfer
c) Responsive Entity Service Transfer
d) Resourceful Endpoint State Transformation
Answer: b) Representational State Transfer
a) To fetch data from an external server
b) To store data locally on the client’s browser
c) To create server-side logic
d) To manage database connections
Answer: b) To store data locally on the client’s browser
a) GET
b) POST
c) PUT
d) DELETE
Answer: c) PUT
a) Designing user interfaces
b) Writing server-side scripts
c) Ensuring smooth deployment and integration
d) Managing project budgets
Answer: c) Ensuring smooth deployment and integration
a) Application Programming Interface
b) Advanced Programming Instruction
c) Automated Protocol Integration
d) Algorithmic Programming Interface
Answer: a) Application Programming Interface
a) margin
b) padding
c) media
d) @media
Answer: d) @media
a) To manage client-side scripts
b) To store relational data
c) To serve web pages
d) To work with NoSQL databases
Answer: d) To work with NoSQL databases
a) To create a new array
b) To iterate over the elements of an array
c) To execute a function once
d) To check for undefined values
Answer: b) To iterate over the elements of an array
a) 200
b) 404
c) 500
d) 302
Answer: b) 404
a) To style web pages
b) To enable cross-origin resource sharing
c) To create server-side logic
d) To store client-side data
Answer: b) To enable cross-origin resource sharing
a) Server Query Language
b) Structured Query Language
c) Simple Query Language
d) Server Queue Language
Answer: b) Structured Query Language
a) Writing server-side scripts
b) Designing user interfaces
c) Managing databases
d) Handling server infrastructure
Answer: b) Designing user interfaces
a) Hypertext Transfer Protocol
b) High-Tech Text Presentation
c) Hyperlink Text Processor
d) Hosted Transfer Protocol
Answer: a) Hypertext Transfer Protocol
a) React
b) Angular
c) Vue.js
d) Express.js
Answer: a) React
a) Defining page structure
b) Creating server-side logic
c) Making asynchronous requests to the server
d) Styling web pages
Answer: c) Making asynchronous requests to the serve
a) To write server-side scripts
b) To manage dependencies and packages
c) To create HTML documents
d) To design user interfaces
Answer: b) To manage dependencies and packages
a) Managing client-side scripts
b) Storing user data
c) Serving web pages to clients
d) Handling server-side logic
Answer: c) Serving web pages to clients
a) GET
b) POST
c) PUT
d) DELETE
Answer: b) POST
a) A type of server-side scripting language
b) A file used to store client-side data
c) An HTML element for creating forms
d) A database management system
Answer: b) A file used to store client-side data
a) Designing user interfaces
b) Handling server infrastructure
c) Managing databases
d) Writing client-side scripts
Answer: b) Handling server infrastructure
a) Application Programming Interface
b) Advanced Programming Instruction
c) Automated Protocol Integration
d) Algorithmic Programming Interface
Answer: a) Application Programming Interface
a) margin
b) padding
c) media
d) @media
Answer: d) @media
a) To manage client-side scripts
b) To store relational data
c) To serve web pages
d) To work with NoSQL databases
Answer: d) To work with NoSQL databases
a) To create a new array
b) To iterate over the elements of an array
c) To execute a function once
d) To check for undefined values
Answer: b) To iterate over the elements of an array
a) 200
b) 404
c) 500
d) 302
Answer: b) 404
a) To style web pages
b) To enable cross-origin resource sharing
c) To create server-side logic
d) To store client-side data
Answer: b) To enable cross-origin resource sharing
a) Server Query Language
b) Structured Query Language
c) Simple Query Language
d) Server Queue Language
Answer: b) Structured Query Language
Bonus Tip: Stay updated on the latest trends and technologies in the full-stack world. Participating in online communities, attending workshops, and reading industry publications can demonstrate your passion and dedication to continuous learning.
Related Post : Mern Stack vs Full Stack
To prepare for a Full Stack Developer interview, focus on both front-end and back-end technologies. Review the fundamentals of web development, including HTML, CSS, and JavaScript. For back-end, ensure a strong understanding of server-side languages like Java, Python, or Node.js, and database technologies like SQL or MongoDB. Practice coding problems, especially focusing on data structures and algorithms. Be familiar with version control systems like Git.
Additionally, be prepared to discuss your previous projects and experiences, and understand the basic concepts of system design and architecture. Mock Full Stack interview questions and answers and participating in Full Stack Developer Training can also be beneficial.
To crack a Full Stack Java Developer interview, solidify your knowledge in Java, including core concepts and advanced features like streams and multithreading. You have to be proficient in Java frameworks like Spring Boot and Hibernate and also understand front-end technologies, particularly those you’re likely to use (e.g., Angular, React). Practice building full applications to understand how front-end and back-end integrate. Review database management, RESTful APIs, and web services.
Be prepared for problem-solving Full Stack questions and answers, and practice coding problems from platforms like LeetCode. Also, brush up on system design concepts tailored towards Java-based applications. last but not least, do forget to practice your answering and problem solving skills using the Full Stack Developer interview questions.
The number of rounds in a Full Stack Developer interview varies by company. Generally, it includes:
In a Full Stack Developer interview, you can expect questions like:
Course Name | Date | Details |
---|---|---|
Full Stack Web Development Course | Class Starts on 7th September,2024 7th September SAT&SUN (Weekend Batch) | View Details |
edureka.co