Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews.

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๐ŸŽฏ Advanced Data Analyst Mock Interview Questions (With Answers) ๐Ÿš€

๐Ÿ“Š 1๏ธโƒฃ A dashboard suddenly shows incorrect numbers. How would you troubleshoot it?

โœ… Strong Answer:
โ€œI would troubleshoot step-by-step:
1. Verify source data
2. Check recent ETL/data pipeline changes
3. Validate SQL queries and joins
4. Check filters and calculations in dashboard
5. Compare results with raw database values

This helps isolate whether the issue is from data ingestion, transformation, or visualization.โ€

๐Ÿง  2๏ธโƒฃ Difference between RANK(), DENSE_RANK(), and ROW_NUMBER()?

โœ… Answer:
ROW_NUMBER โ†’ No duplicate rank, No skips rank
RANK โ†’ Yes duplicate rank, Yes skips rank
DENSE_RANK โ†’ Yes duplicate rank, No skips rank

Example:
SELECT salary,
RANK() OVER(ORDER BY salary DESC)
FROM employees;

๐Ÿ“ˆ 3๏ธโƒฃ What is the difference between OLTP and OLAP?

โœ… Answer:
OLTP
- Transactional systems
- Fast inserts/updates
- Normalized data
- Example: Banking app

OLAP
- Analytical systems
- Complex queries
- Denormalized data
- Example: Power BI dashboard

๐Ÿ“Š 4๏ธโƒฃ How do you optimize a slow SQL query?

โœ… Strong Answer:
โ€œI would:
- Avoid SELECT
- Use indexes properly
- Filter early with WHERE
- Avoid unnecessary joins
- Analyze execution plan using EXPLAIN
- Use CTEs/window functions carefullyโ€

๐Ÿง  5๏ธโƒฃ Explain Primary Key vs Foreign Key

โœ… Answer:
- Primary Key uniquely identifies each row
- Foreign Key creates relationship between tables

Example:
customer_id in customers โ†’ Primary Key
customer_id in orders โ†’ Foreign Key

๐Ÿ“ˆ 6๏ธโƒฃ What is data cleaning?

โœ… Answer:
โ€œData cleaning means handling:
- Missing values
- Duplicates
- Incorrect formats
- Inconsistent records

It improves data quality before analysis.โ€

๐Ÿ“Š 7๏ธโƒฃ What are the most important SQL concepts for a data analyst?

โœ… Answer:
- Joins
- Aggregations
- Window functions
- Subqueries & CTEs
- Date functions
- NULL handling

๐Ÿง  8๏ธโƒฃ Explain a situation where you used data to solve a business problem

โœ… Strong Answer:
โ€œI analyzed customer purchase patterns and identified products with low repeat sales. Based on the analysis, targeted campaigns were suggested, which improved customer retention.โ€

๐Ÿ“ˆ 9๏ธโƒฃ Difference between UNION and UNION ALL

โœ… Answer:
- UNION removes duplicates
- UNION ALL keeps duplicates and is faster

๐Ÿ“Š ๐Ÿ”Ÿ How do you measure dashboard performance?

โœ… Answer:
โ€œI check:
- Query execution time
- Dashboard load speed
- Number of visuals
- Data model optimization
- DAX/query efficiencyโ€

๐Ÿง  1๏ธโƒฃ1๏ธโƒฃ What is cardinality in databases?

โœ… Answer:
Cardinality defines relationship between tables:
- One-to-One
- One-to-Many
- Many-to-Many

Example: One customer โ†’ many orders.

๐Ÿ“ˆ 1๏ธโƒฃ2๏ธโƒฃ Explain ETL Process

โœ… Answer:
- Extract โ†’ collect data
- Transform โ†’ clean/process data
- Load โ†’ store into warehouse/database

๐Ÿ“Š 1๏ธโƒฃ3๏ธโƒฃ What is the difference between a view and a table?

โœ… Answer:
- Table stores physical data
- View is a virtual query result

๐Ÿง  1๏ธโƒฃ4๏ธโƒฃ How would you identify trends in sales data?

โœ… Strong Answer:
โ€œI would use:
- Time-series analysis
- Running totals
- Month-over-month growth
- Moving averages
- Visualization dashboardsโ€

๐Ÿ“ˆ 1๏ธโƒฃ5๏ธโƒฃ Explain Star Schema

โœ… Answer:
Star schema contains:
- One fact table
- Multiple dimension tables

Used heavily in:
- Data warehouses
- Power BI models

โญ Most Important Interview Advice
Interviewers test:
- SQL logic
- Business understanding
- Communication skills
- Problem-solving approach not just syntax.

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โœ… 20 Medium-Level Web Development Interview Questions (with Detailed Answers)

1. What is the difference between HTML, CSS, and JavaScript
โ€ข HTML: Structures content
โ€ข CSS: Styles content
โ€ข JavaScript: Adds interactivity and dynamic behavior

2. What is responsive web design
Designing websites that adapt to different screen sizes and devices using flexible grids, media queries, and fluid layouts.

3. What are semantic HTML elements
Elements that clearly describe their meaning (e.g., <article>, <section>, <nav>, <header>). Improves accessibility and SEO.

4. What is the DOM
Document Object Model โ€” a tree-like structure representing HTML elements. JavaScript can manipulate it to update content dynamically.

5. What is the difference between GET and POST methods
โ€ข GET: Sends data via URL, used for fetching
โ€ข POST: Sends data in body, used for submitting forms securely

6. What is the box model in CSS
Every HTML element is a box:
Content โ†’ Padding โ†’ Border โ†’ Margin

7. What is the difference between relative, absolute, and fixed positioning in CSS
โ€ข Relative: Moves element relative to its normal position
โ€ข Absolute: Positions element relative to nearest positioned ancestor
โ€ข Fixed: Stays in place even when scrolling

8. What is the difference between == and === in JavaScript
โ€ข ==: Compares values with type coercion
โ€ข ===: Strict comparison (value and type)

9. What is event bubbling in JavaScript
Events propagate from child to parent elements. Can be controlled using stopPropagation().

10. What is the difference between localStorage and sessionStorage
โ€ข localStorage: Persistent across sessions
โ€ข sessionStorage: Cleared when tab is closed

11. What is a RESTful API
An architectural style for designing networked applications using HTTP methods (GET, POST, PUT, DELETE) and stateless communication.

12. What is the difference between frontend and backend development
โ€ข Frontend: Client-side (UI/UX, HTML/CSS/JS)
โ€ข Backend: Server-side (databases, APIs, authentication)

13. What are common HTTP status codes
โ€ข 200 OK
โ€ข 404 Not Found
โ€ข 500 Internal Server Error
โ€ข 403 Forbidden
โ€ข 301 Moved Permanently

14. What is a promise in JavaScript
An object representing the eventual completion or failure of an async operation.
States: pending, fulfilled, rejected

15. What is the difference between synchronous and asynchronous code
โ€ข Synchronous: Executes line by line
โ€ข Asynchronous: Executes independently, doesnโ€™t block the main thread

16. What is a CSS preprocessor
Tools like SASS or LESS that add features to CSS (variables, nesting, mixins) and compile into standard CSS.

17. What is the role of frameworks like React, Angular, or Vue
They simplify building complex UIs with reusable components, state management, and routing.

18. What is the difference between SQL and NoSQL databases
โ€ข SQL: Structured, relational (e.g., MySQL)
โ€ข NoSQL: Flexible schema, document-based (e.g., MongoDB)

19. What is version control and why is Git important
Version control tracks changes in code. Git allows collaboration, branching, and rollback. Platforms: GitHub, GitLab, Bitbucket

20. How do you optimize website performance
โ€ข Minify CSS/JS
โ€ข Use lazy loading
โ€ข Compress images
โ€ข Use CDN
โ€ข Reduce HTTP requests

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Software Architecture ๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ—๏ธ

Writing code is only one part of software development.

As applications grow, simply writing code isn't enough, you need a proper structure.

This structure is called Software Architecture.

A good architecture makes software:

โ€ข Easy to build

โ€ข Easy to maintain

โ€ข Easy to scale

โ€ข Easy to test

โ€ข Easy to update

Think of software architecture like the blueprint of a building. Without a strong blueprint, even a beautiful building can become unstable.

1. What is Software Architecture?

Software Architecture is the high-level design of an application.

It defines:

โ€ข How different parts of the application work together

โ€ข How data flows through the system

โ€ข How users interact with the application

โ€ข How different services communicate

Good architecture helps teams build reliable and scalable software.

2. Why is Software Architecture Important?

Imagine building an application used by millions of users.

Without proper architecture:

โ€ข Code becomes difficult to maintain

โ€ข New features take longer to build

โ€ข Performance decreases

โ€ข Bugs become harder to fix

With good architecture:

โ€ข Better performance

โ€ข Easier collaboration

โ€ข Faster development

โ€ข Simpler maintenance

3. Monolithic Architecture

A Monolithic Architecture is where the entire application is built as a single unit.

Everything is connected together:

โ€ข User Interface

โ€ข Business Logic

โ€ข Database Access

โ€ข Authentication

All parts run as one application.

Example

Application

โ€ข Login

โ€ข Products

โ€ข Orders

โ€ข Payments

โ€ข Database

Advantages

โ€ข Easy to develop

โ€ข Easy to deploy

โ€ข Good for small applications

โ€ข Simple to understand

Disadvantages

โ€ข Difficult to scale

โ€ข Hard to maintain large projects

โ€ข A single bug can affect the whole application

โ€ข Slower deployments as the application grows

4. Microservices Architecture

In Microservices, the application is divided into small independent services.

Each service handles one responsibility.

Example:

โ€ข User Service

โ€ข Order Service

โ€ข Payment Service

โ€ข Notification Service

Each service can be developed, deployed, and scaled independently.

Advantages

โ€ข Easier to scale

โ€ข Faster deployments

โ€ข Better fault isolation

โ€ข Teams can work independently

Disadvantages

โ€ข More complex to build

โ€ข Requires better monitoring

โ€ข More challenging communication between services

5. REST APIs

Applications often need to communicate with each other.

This communication usually happens through REST APIs.

A REST API allows one application to send and receive data from another.

Example:

A food delivery app requests restaurant data from a server using an API.

Common HTTP Methods

โ€ข GET: Retrieve data

โ€ข POST: Create new data

โ€ข PUT: Update existing data

โ€ข DELETE: Remove data

These methods form the foundation of most modern web applications.

6. API Request Flow

A typical API request follows this process:

User โ†’ Frontend โ†’ API โ†’ Backend โ†’ Database โ†’ Response

Every time you log in, search for a product, or place an order, this flow happens behind the scenes.
7. Layers in a Software Application

A well-designed application is divided into layers.

Presentation Layer 

โ€ข User Interface 

โ€ข Displays information 

โ€ข Accepts user input 

Business Logic Layer 

โ€ข Processes data 

โ€ข Applies business rules 

โ€ข Validates requests 

Data Layer 

โ€ข Stores information 

โ€ข Retrieves data 

โ€ข Communicates with databases 

Separating these layers makes applications easier to maintain.

8. Design Principles

Professional developers follow design principles to write maintainable software.

Some important principles include: 

โ€ข Keep code simple 

โ€ข Avoid repeating code DRY 

โ€ข Separate responsibilities 

โ€ข Write reusable components 

โ€ข Prefer readability over complexity 

These principles make projects easier to understand and extend.

9. System Design Basics

System Design focuses on building applications that can handle growth.

Questions to consider: 

โ€ข How will the application handle thousands of users? 

โ€ข How can performance be improved? 

โ€ข How can downtime be minimized? 

โ€ข How should data be stored? 

Learning system design helps you think beyond writing code.

10. Scalability

Scalability means an application can handle increasing users without major performance issues.

Example:

100 Users โœ…

10,000 Users โœ…

1 Million Users โœ… 

A scalable architecture ensures the application continues to perform well as demand grows.

11. Security in Architecture

Security should be part of the architecture from the beginning.

Consider: 

โ€ข Authentication 

โ€ข Authorization 

โ€ข Data Encryption 

โ€ข Secure APIs 

โ€ข Input Validation 

Ignoring security can expose applications to serious risks.

Common Architecture Tools

Professional teams often use: 

โ€ข Docker 

โ€ข Kubernetes 

โ€ข API Gateways 

โ€ข Message Queues 

โ€ข Load Balancers 

These tools help build reliable and scalable systems.

Common Beginner Mistakes 

โ€ข Building everything in one file 

โ€ข Mixing frontend and backend logic 

โ€ข Ignoring project structure 

โ€ข Creating tightly coupled code 

โ€ข Not separating responsibilities 

Good architecture prevents these problems.

How to Learn Software Architecture

Follow this learning path:

Learn Monolithic Architecture โ†’ Understand REST APIs โ†’ Build Small Applications โ†’ Learn Layered Architecture โ†’ Explore Microservices โ†’ Study System Design 

Take one step at a time.

Why This Step is Important

Understanding software architecture helps you: 

โ€ข Build scalable applications 

โ€ข Write maintainable code 

โ€ข Work effectively in development teams 

โ€ข Understand enterprise software 

โ€ข Prepare for software engineering interviews 

Final Advice

Great developers don't just write code.

They design software that is easy to maintain, secure, and scalable. 

Good Architecture โ†’ Better Code โ†’ Better Software โ†’ Better User Experience 

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๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—”๐—œ ๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† | ๐Ÿฑ ๐— ๐˜‚๐˜€๐˜-๐—ช๐—ฎ๐˜๐—ฐ๐—ต ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฑ๐—ฒ๐—ผ๐˜€ ๐Ÿš€

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โœ… Data Science: Tools You Should Know as a Beginner ๐Ÿงฐ๐Ÿ“Š

Mastering these tools helps you build real-world data projects faster and smarter:

1๏ธโƒฃ Python
โœ” Most popular language in data science
โœ” Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
๐Ÿ“Œ Use: Data cleaning, EDA, modeling, automation

2๏ธโƒฃ Jupyter Notebook
โœ” Interactive coding environment
โœ” Great for documentation + visualization
๐Ÿ“Œ Use: Prototyping & explaining models

3๏ธโƒฃ SQL
โœ” Essential for querying databases
๐Ÿ“Œ Use: Data extraction, filtering, joins, aggregations

4๏ธโƒฃ Excel / Google Sheets
โœ” Quick analysis & reports
๐Ÿ“Œ Use: Data exploration, pivot tables, charts

5๏ธโƒฃ Power BI / Tableau
โœ” Drag-and-drop dashboards
๐Ÿ“Œ Use: Visual storytelling & business insights

6๏ธโƒฃ Git & GitHub
โœ” Track code changes + collaborate
๐Ÿ“Œ Use: Version control, building your portfolio

7๏ธโƒฃ Scikit-learn
โœ” Ready-to-use ML models
๐Ÿ“Œ Use: Classification, regression, model evaluation

8๏ธโƒฃ Google Colab / Kaggle Notebooks
โœ” Free, cloud-based Python environment
๐Ÿ“Œ Use: Practice & run notebooks without setup

๐Ÿง  Bonus:
โ€ข VS Code โ€“ for scalable Python projects
โ€ข APIs โ€“ for real-world data access
โ€ข Streamlit โ€“ build data apps without frontend knowledge

Double Tap โ™ฅ๏ธ For More
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๐ŸŽ“ ๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—œ๐—บ๐—ฝ๐—ฟ๐—ผ๐˜ƒ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐—ฒ๐˜ ๐Ÿš€

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๐Ÿ“Š Microsoft Excel
๐Ÿ“ˆ Power BI
๐Ÿ’ซ Python for Data Science
โฐTime Management
๐Ÿ’ฐ Basic Financial Accounting

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๐Ÿ“Œ Save this post and share it with friends looking to upskill in 2026.
Master Javascript :

The JavaScript Tree ๐Ÿ‘‡
|
|โ”€โ”€ Variables
| โ”œโ”€โ”€ var
| โ”œโ”€โ”€ let
| โ””โ”€โ”€ const
|
|โ”€โ”€ Data Types
| โ”œโ”€โ”€ String
| โ”œโ”€โ”€ Number
| โ”œโ”€โ”€ Boolean
| โ”œโ”€โ”€ Object
| โ”œโ”€โ”€ Array
| โ”œโ”€โ”€ Null
| โ””โ”€โ”€ Undefined
|
|โ”€โ”€ Operators
| โ”œโ”€โ”€ Arithmetic
| โ”œโ”€โ”€ Assignment
| โ”œโ”€โ”€ Comparison
| โ”œโ”€โ”€ Logical
| โ”œโ”€โ”€ Unary
| โ””โ”€โ”€ Ternary (Conditional)
||โ”€โ”€ Control Flow
| โ”œโ”€โ”€ if statement
| โ”œโ”€โ”€ else statement
| โ”œโ”€โ”€ else if statement
| โ”œโ”€โ”€ switch statement
| โ”œโ”€โ”€ for loop
| โ”œโ”€โ”€ while loop
| โ””โ”€โ”€ do-while loop
|
|โ”€โ”€ Functions
| โ”œโ”€โ”€ Function declaration
| โ”œโ”€โ”€ Function expression
| โ”œโ”€โ”€ Arrow function
| โ””โ”€โ”€ IIFE (Immediately Invoked Function Expression)
|
|โ”€โ”€ Scope
| โ”œโ”€โ”€ Global scope
| โ”œโ”€โ”€ Local scope
| โ”œโ”€โ”€ Block scope
| โ””โ”€โ”€ Lexical scope
||โ”€โ”€ Arrays
| โ”œโ”€โ”€ Array methods
| | โ”œโ”€โ”€ push()
| | โ”œโ”€โ”€ pop()
| | โ”œโ”€โ”€ shift()
| | โ”œโ”€โ”€ unshift()
| | โ”œโ”€โ”€ splice()
| | โ”œโ”€โ”€ slice()
| | โ””โ”€โ”€ concat()
| โ””โ”€โ”€ Array iteration
| โ”œโ”€โ”€ forEach()
| โ”œโ”€โ”€ map()
| โ”œโ”€โ”€ filter()
| โ””โ”€โ”€ reduce()|
|โ”€โ”€ Objects
| โ”œโ”€โ”€ Object properties
| | โ”œโ”€โ”€ Dot notation
| | โ””โ”€โ”€ Bracket notation
| โ”œโ”€โ”€ Object methods
| | โ”œโ”€โ”€ Object.keys()
| | โ”œโ”€โ”€ Object.values()
| | โ””โ”€โ”€ Object.entries()
| โ””โ”€โ”€ Object destructuring
||โ”€โ”€ Promises
| โ”œโ”€โ”€ Promise states
| | โ”œโ”€โ”€ Pending
| | โ”œโ”€โ”€ Fulfilled
| | โ””โ”€โ”€ Rejected
| โ”œโ”€โ”€ Promise methods
| | โ”œโ”€โ”€ then()
| | โ”œโ”€โ”€ catch()
| | โ””โ”€โ”€ finally()
| โ””โ”€โ”€ Promise.all()
|
|โ”€โ”€ Asynchronous JavaScript
| โ”œโ”€โ”€ Callbacks
| โ”œโ”€โ”€ Promises
| โ””โ”€โ”€ Async/Await
|
|โ”€โ”€ Error Handling
| โ”œโ”€โ”€ try...catch statement
| โ””โ”€โ”€ throw statement
|
|โ”€โ”€ JSON (JavaScript Object Notation)
||โ”€โ”€ Modules
| โ”œโ”€โ”€ import
| โ””โ”€โ”€ export
|
|โ”€โ”€ DOM Manipulation
| โ”œโ”€โ”€ Selecting elements
| โ”œโ”€โ”€ Modifying elements
| โ””โ”€โ”€ Creating elements
|
|โ”€โ”€ Events
| โ”œโ”€โ”€ Event listeners
| โ”œโ”€โ”€ Event propagation
| โ””โ”€โ”€ Event delegation
|
|โ”€โ”€ AJAX (Asynchronous JavaScript and XML)
|
|โ”€โ”€ Fetch API
||โ”€โ”€ ES6+ Features
| โ”œโ”€โ”€ Template literals
| โ”œโ”€โ”€ Destructuring assignment
| โ”œโ”€โ”€ Spread/rest operator
| โ”œโ”€โ”€ Arrow functions
| โ”œโ”€โ”€ Classes
| โ”œโ”€โ”€ let and const
| โ”œโ”€โ”€ Default parameters
| โ”œโ”€โ”€ Modules
| โ””โ”€โ”€ Promises
|
|โ”€โ”€ Web APIs
| โ”œโ”€โ”€ Local Storage
| โ”œโ”€โ”€ Session Storage
| โ””โ”€โ”€ Web Storage API
|
|โ”€โ”€ Libraries and Frameworks
| โ”œโ”€โ”€ React
| โ”œโ”€โ”€ Angular
| โ””โ”€โ”€ Vue.js
||โ”€โ”€ Debugging
| โ”œโ”€โ”€ Console.log()
| โ”œโ”€โ”€ Breakpoints
| โ””โ”€โ”€ DevTools
|
|โ”€โ”€ Others
| โ”œโ”€โ”€ Closures
| โ”œโ”€โ”€ Callbacks
| โ”œโ”€โ”€ Prototypes
| โ”œโ”€โ”€ this keyword
| โ”œโ”€โ”€ Hoisting
| โ””โ”€โ”€ Strict mode
|
| END __
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๐Ÿ“Š ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿš€

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๐Ÿง  SQL Interview Question (Commonly Asked)
๐Ÿ“Œ

products(product_id, product_name, category_id, price)

โ“ Ques :

๐Ÿ‘‰ Find the second highest priced product in each category.

๐Ÿงฉ How Interviewers Expect You to Think

โ€ข Partition data by category
โ€ข Rank products based on price (descending)
โ€ข Understand difference between RANK, DENSE_RANK, and ROW_NUMBER
โ€ข Handle ties properly
โ€ข Filter after ranking logic

๐Ÿ’ก SQL Solution

WITH ranked_products AS (
SELECT
product_id,
product_name,
category_id,
price,
DENSE_RANK() OVER (
PARTITION BY category_id
ORDER BY price DESC
) AS price_rank
FROM products
)

SELECT
product_id,
product_name,
category_id,
price
FROM ranked_products
WHERE price_rank = 2;

๐Ÿ”ฅ Why this question is powerful:

โ€ข Tests window functions deeply
โ€ข Checks ranking logic understanding
โ€ข Very common in Data Analyst interviews

โค๏ธ React if you want more scenario-based SQL questions
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๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ | ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ๐ŸŽ“

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Java coding interview questions

1. Reverse a String:
Write a Java program to reverse a given string.
2. Find the Largest Element in an Array:
Find and print the largest element in an array.
3. Check for Palindrome:
Determine if a given string is a palindrome (reads the same backward as forward).
4. Factorial Calculation:
Write a function to calculate the factorial of a number.
5. Fibonacci Series:
Generate the first n numbers in the Fibonacci sequence.
6. Check for Prime Number:
Write a program to check if a given number is prime.
7. String Anagrams:
Determine if two strings are anagrams of each other.

8. Array Sorting:
Implement sorting algorithms like bubble sort, merge sort, or quicksort.

9. Binary Search:
Implement a binary search algorithm to find an element in a sorted array.

10. Duplicate Elements in an Array:
Find and print duplicate elements in an array.

11. Linked List Reversal:
Reverse a singly-linked list.

12. Matrix Operations:
Perform matrix operations like addition, multiplication, or transpose.

13. Implement a Stack:
Create a stack data structure and implement basic operations (push, pop).

14. Implement a Queue:
Create a queue data structure and implement basic operations (enqueue, dequeue).

15. Inheritance and Polymorphism:
Implement a class hierarchy with inheritance and demonstrate polymorphism.

16. Exception Handling:
Write code that demonstrates the use of try-catch blocks to handle exceptions.
17. File I/O:
Read from and write to a file using Java's file I/O capabilities.
18. Multithreading:
Create a simple multithreaded program and demonstrate thread synchronization.
19. Lambda Expressions:
Use lambda expressions to implement functional interfaces.
20. Recursive Algorithms:
Solve a problem using recursion, such as computing the factorial or Fibonacci sequence.

Best Java Resources: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s

Like for more โค๏ธ
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๐—”๐—œ ๐—ถ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€ ๐Ÿ˜

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