Top Programming Interview Questions For Expedia

At Expedia, full stack development is a critical part of the organization’s success. Full stack development is the practice of creating a complete stack of software solutions, from the back-end to the front-end. This means that full stack developers are responsible for developing all aspects of a web application, from the server side to the user interface. As a full stack developer at Expedia, you will be responsible for creating and designing web applications and services, as well as ensuring that they work together seamlessly. Full stack developers at Expedia are expected to have a comprehensive understanding of both front-end and back-end technologies and be able to work with a wide range of programming languages and frameworks. This includes, but is not limited to, HTML, CSS, JavaScript, Python, Ruby, PHP, and React. As a full stack developer, you will be responsible for creating and maintaining applications and services, as well as creating and maintaining the infrastructure that supports them. You will also be expected to be able to maintain and enhance existing solutions, as well as develop new solutions to meet the changing needs of Expedia’s customers. At Expedia, full stack developers are expected to work in a collaborative and agile environment. This means that you will be expected to work with other developers to ensure that solutions are designed and implemented efficiently and effectively. You will also be expected to be proactive in identifying areas of improvement and developing solutions to address them. Additionally, you will need to be able to keep up with the latest technologies, trends, and industry standards. At Expedia, full stack development is a key part of the organization’s success. As a full stack developer, you will be responsible for developing, maintaining, and enhancing web applications and services. You will also be expected to work in a collaborative and agile environment and keep up with the latest technologies, trends, and industry standards. If you are looking for an exciting and challenging position in a fast-paced and dynamic environment, then Expedia is the perfect place for you.

1. Creating a system to support automated A/B testing Creating a system to support automated A/B testing can help streamline the process of testing different versions of a website or product. This system can help optimize user experiences and increase sales by taking the manual work out of the equation. It will enable businesses to quickly and accurately compare different versions of a product and make the best decisions for their customers. 2. Designing a system to support automated deployment of web applications Designing a system to support automated deployment of web applications requires a comprehensive approach, including selecting the right tools, defining deployment processes, and configuring the system. The system should be designed to maximize efficiency, minimize errors, and promote scalability. It should be tailored to the specific needs of the organization, allowing for flexibility and ease of use. The system should also be capable of monitoring and logging all deployment operations. 3. Optimizing a web application for improved speed and performance Optimizing a web application for improved speed and performance is a key factor in ensuring user satisfaction. By utilizing a range of techniques such as caching, minifying code, and compressing files, page loading times can be drastically reduced and the overall performance of the application increased. Through an iterative process of testing and improvement, the best results can be achieved. 4. Building an AI-powered system for automated decision-making AI-powered automated decision-making systems are quickly becoming a reality. With the help of advanced algorithms, such systems can make complex decisions with improved accuracy and speed. By implementing AI-powered decision-making systems, businesses can make decisions faster and more efficiently. With the right design and implementation, these systems can help organizations achieve their desired outcomes. 5. Building a distributed system to support real-time data processing Building a distributed system to support real-time data processing can help organizations unlock the potential of their data by providing efficient and reliable access to data in real-time. This system is designed to securely store, transmit and process data across multiple distributed nodes with minimal latency, enabling faster decision-making and increased agility. It provides scalability, redundancy and fault tolerance, making it ideal for mission-critical applications. 6. Developing a data-driven application to support user analytics Data-driven applications are becoming increasingly important in today's digital world. Developing an application to support user analytics is key to understanding user behavior and optimizing user experience. This application will provide insights into user activity, trends, and preferences, allowing us to better understand how users interact with our products and services. With this information, we can create strategies to improve user engagement, increase conversions, and ultimately drive more value to our organization. 7. Implementing an API to allow cross-platform data sharing API implementation is a powerful tool to enable cross-platform data sharing. It provides a secure and efficient way to connect applications, services, and systems. With an API, businesses can quickly and easily share data between disparate systems, creating a seamless flow of information. This allows for improved collaboration, better customer experience, and improved efficiency. The potential benefits of API implementation are vast, making it an essential tool for businesses of all sizes. 8. Creating a secure and reliable data storage system Creating a secure and reliable data storage system is essential to ensure data safety and protection. It involves establishing strong security protocols, ensuring data backups, and maintaining availability and accessibility of data. It should also incorporate disaster recovery strategies and regular data audits to identify and address any potential risks. With the right approach, businesses can keep their data safe and secure. 9. Developing a system to support automated data cleaning and analysis We are developing a powerful system to support automated data cleaning and analysis. Our system will enable users to quickly and accurately identify and correct errors in data, analyze patterns, and draw meaningful insights. It will enable users to process data more efficiently and with greater accuracy. Our system will provide an intuitive user interface and powerful data processing capabilities. We are confident it will be a valuable resource for data analysts and scientists. 10. Designing a system to support user authentication Designing a system to support user authentication requires careful consideration of security, user experience, and scalability. It involves understanding user requirements, developing authentication protocols and methods, and managing user identity infrastructure. The system should be able to verify user identity, securely store user data, and enable access control. It should also be able to process authentication requests quickly, provide reliable performance and stability, and be resilient to potential security threats. 11. Building an automated system to monitor system performance Building an automated system to monitor system performance is a great way to ensure optimal performance of your systems. It can help detect issues quickly, keep track of system health, and provide real-time data to help you make better decisions. With the right setup, you can ensure smooth operations and excellent performance. 12. Building a system to detect and block malicious user behavior Building a system to detect and block malicious user behavior is essential for maintaining the security of any online platform. Our system will use sophisticated algorithms to monitor user activity, identify suspicious behavior, and block any malicious activity before it can cause harm. Our system will also provide detailed reports and analysis to help ensure the safety of our users. 13. Developing a cloud-based serverless application Developing a cloud-based serverless application is a great way to create dynamic, cost-effective solutions. With serverless technology, businesses can focus on the features and functions of their applications instead of managing the underlying infrastructure. This approach reduces operational costs and allows teams to build, test, and deploy applications in an agile and scalable way. 14. Designing a system to monitor user activity on a website Designing a system to monitor user activity on a website requires careful planning and consideration. It involves understanding user behaviour, data collection, and analysis. The system should be designed to be secure, reliable, and efficient. It should also be tailored to the specific needs of the website and its user base. With the right design, the system can provide vital insights into user behaviour and website performance. 15. Developing a system to support automated data migration We are developing a system to support automated data migration. This system will enable user-friendly, efficient and secure transfer of data across different systems. With this system, users can easily migrate data from one application to another, allowing them to access data quickly and securely. Our system is designed to be scalable and will work with various data sources. It will also be cost-effective and provide real-time data migration capabilities. 16. Developing a fully-functional mobile application Developing a mobile application can be a complex and challenging process, requiring a range of skills and expertise. It is important to have an effective strategy and plan in place to ensure the highest quality of product. From designing the user interface to ensuring the app meets the needs of users, there is a lot to consider when creating a fully-functional mobile application. With the right approach, the results can be rewarding and beneficial. 17. Developing a system for capturing user feedback Developing a system for capturing user feedback requires careful planning and implementation. It must be tailored to the specific needs of the users, incorporating the latest technologies to ensure reliable and accurate data collection. The system must be easy to use, intuitive and provide timely feedback to stakeholders. It should be able to identify trends and areas for improvement, enabling the organization to make informed decisions. 18. Building a custom analytics dashboard for a website Create a custom analytics dashboard to track the performance of your website. Gain insights into website visits, page views, user behavior, and more. Monitor key metrics in real-time, and use the data to optimize your website and analyze how visitors interact with it. Easily visualize data and gain a deeper understanding of user behavior. Make informed decisions and drive your website's performance. 19. Developing an automated system for user notifications Developing an automated system for user notifications is a great way to streamline communication and increase efficiency. Automation allows for greater speed and accuracy, eliminating manual processes and saving time. It's an effective way to keep users up-to-date and informed with notifications tailored to their needs. Plus, an automated system is easy to implement, cost-effective, and requires minimal maintenance. 20. Building a dynamic front-end application Building a dynamic front-end application is a great way to create an interactive and engaging user experience. With the right tools and techniques, developers can create a responsive and highly functional web application. From designing the structure and layout to adding features such as animation and multimedia, the possibilities are endless when it comes to creating an engaging user experience. 21. Developing a system to detect and prevent data breaches Data breaches can cause significant damage to a company and its customers. To minimize such risks, companies should develop a system to detect and prevent data breaches. This system should identify potential threats, monitor network activity, and set up response protocols that can help to stop the breach before it causes damage. Additionally, it should ensure data is stored securely and provide access control to ensure unauthorized users cannot access it. With this comprehensive system in place, companies can better protect their networks and data. 22. Creating a system to detect and block malicious user behavior Creating a system to detect and block malicious user behavior is essential for protecting websites and networks from malicious attacks. This system will use advanced algorithms to detect and analyze user behavior across multiple channels and devices. It will also provide real-time monitoring and alerting for suspicious activity, allowing for quick response and remediation. The system will help to ensure the safety and security of a website or network. 23. Designing an automated system for data validation Designing an automated system for data validation is an essential task to make sure data accuracy. The system should be designed to catch errors and inconsistencies as quickly as possible, allowing for efficient data entry. It should be tailored to the organization's needs while being flexible enough to handle various data types. The automated system should be able to identify, alert, and correct errors in data entry. It should also be capable of verifying data accuracy, integrity, and completeness. Finally, the system should be user-friendly and easy to understand. 24. Designing a system to automate data backups Designing a system to automate data backups can be an effective way to ensure your data is always secure. By automating backups, you can avoid the need for manual intervention, minimize data loss, and maximize efficiency. It can help you create a reliable backup schedule, configure data restoration, and configure data retention. With the right design, you can ensure that your data is always protected. 25. Building a real-time streaming system Building a real-time streaming system can be a daunting task. It requires understanding of data sources, message brokers, data processing and data storage. It also requires knowledge of the different components of a streaming system, such as ingestion, processing, and delivery. With the right approach, however, it is possible to create a powerful and efficient real-time streaming system. It can provide data in real-time, allowing users to make decisions quickly and accurately. 26. Different Ways to Create Pandas DataFrame Pandas DataFrames are a powerful way to store and manipulate data. They can be created in various ways, such as from lists, dictionaries, ndarrays, series, csv files, excel files, and even from other DataFrames. With DataFrames, you can easily select, filter, and manipulate data with powerful tools. 27. Python OpenCV – waitKey Function Python OpenCV's waitKey function is a powerful tool for image processing. It allows developers to pause an image processing script for a specified amount of time and process individual frames. It is useful for capturing user input and waiting for user input events. Additionally, waitKey can be used to control the speed of image processing scripts, allowing for precise timing of operations. It is a simple but invaluable tool for any OpenCV user. 28. Python Exit Commands - quit(), exit(), sys.exit() and os._exit() Python exit commands are used to terminate the current program. The four main exit commands are quit(), exit(), sys.exit() and os._exit(). quit() is the simplest of the four commands and can be used in both interactive and non-interactive mode. exit() is similar to quit(), but can be caught and handled by try-except statements. sys.exit() is used to terminate the current program and exit the interpreter. os._exit() is an alternative to sys.exit() and can be used when an error occurs that makes the interpreter unsuitable for further use. 29. What is a Modulo Operator in Python A modulo operator in Python is a mathematical operation that divides one number by another and returns the remainder. It is represented by the "%" symbol and is useful for finding the remainder of a division, checking if a number is even or odd, and performing modular arithmetic. Modulo is a powerful tool in Python programming. 30. JavaScript match() Function The JavaScript match() function is a powerful tool for finding matches within a given string. It can be used to search for patterns, extract substrings, or test conditions. It returns an array of matches or null if no match is found. It is an important part of JavaScript's regular expression capabilities. 31. Getter and Setter in Java Getter and Setter in Java are methods used to get and set the values of an object's private variables. Getters are used to retrieve the value of a private field, while setters are used to set the value of a private field. They are used to provide controlled access to the private variables of an object, allowing for secure and efficient access to the data. Getters and Setters in Java can be used to protect the data of an object. 32. Python - Get Dictionary Keys as a List Python is a powerful, high-level programming language. It has a simple syntax, making it easy to learn and use. With its wide array of libraries, you can tackle virtually any programming task. It's great for writing scripts, web development, data science, and more. You can even get dictionary keys as a list with Python's built-in methods. Dive in and start exploring the exciting world of Python! 33. Largest Sum Contiguous Subarray The Largest Sum Contiguous Subarray is an algorithm that solves the problem of finding the maximum sum of a sequence of numbers within an array. It is used to determine the maximum possible sum of a given sequence of elements, such as a set of stock prices or a set of values within a matrix. It is a powerful tool in data analysis and optimization. 34. Abstract Data Types Abstract Data Types (ADTs) are data structures that enable the storage and manipulation of data in a way that hides the underlying implementation. ADTs provide a common interface for different data types, allowing for easy manipulation of data regardless of the underlying structure. ADTs are widely used in programming, providing a powerful way to manage data and create efficient algorithms. 35. Tail Command in Linux with Examples Tail command in Linux is a useful tool for viewing the end of a file. It can be used to view the last 10 lines of a file, as well as to display specific lines based on line number. For example, "tail -n 5 filename" will display the last 5 lines of the file 'filename'. Other examples include "tail -f filename" to view the last 10 lines and any new lines as they are added to the file. 36. Array Class in Java The Array Class in Java is a powerful data structure used to store and manipulate data in a structured manner. It is composed of elements of a single type that are placed in contiguous memory locations. It allows fast access to data and provides efficient manipulation of data through various methods such as add(), remove(), get(), set(), etc. Array Class provides flexibility in terms of size and can be used to store objects of any data type. 37. Collections.sort() in Java with Examples Collections.sort() is a Java method used to sort elements in a collection. It is a static method that takes a List or an array of objects and sorts them in ascending order. Examples of using Collections.sort() include sorting a list of names in alphabetical order or sorting numbers from smallest to largest. It is an important tool for managing collections of objects in Java. 38. French Revolution: Causes and its Impact on the World The French Revolution of 1789 marked a major turning point in world history. It was a period of great social and political upheaval, sparked by a combination of factors including economic inequality, social injustice and a lack of political representation. The Revolution had far-reaching consequences, leading to the overthrow of the monarchy and the establishment of a republic, as well as inspiring similar revolutions around the world. Its impact is still felt today. 39. Char vs Varchar in SQL Char and Varchar are two data types used in Structured Query Language (SQL) to store character strings. Char is a fixed-length data type, which means it takes up the same amount of space no matter what string is stored in it. Varchar is a variable-length data type, which means it takes up only as much space as required to store the string. Char is generally more efficient for shorter strings, but Varchar is better for longer strings. 40. Node.js fs.writeFileSync() Method Node.js fs.writeFileSync() Method is an efficient way to write data to a file. It synchronously writes data to a file, replacing the file if it already exists. It is very useful for writing large chunks of data to a file in an atomic operation. It takes two arguments: a file path and the data to write. The data can be a string, buffer or a stream. It returns no value on success and throws an error on failure. It is an important tool for any Node.js developer.