Sugandha verma

Could you help me understand more about your background, giving a brief introduction about yourself? So my name is Uganda. I have, uh, completed my BTEC in 2014. I have completed my 10th 12th in 2007 and 9 CBSE board partner. So I have overall 6 years of experience and in which 3.5 years, I have experience in Java and 3 years in React. Js. So, uh, I have in between done several project. So there recently, I have, uh, make a project based on the banking domain, and one is on the, uh, Tatida Insurance Group. So that is a tech stack using is Java, MySQL, microservices, Kafka. And, uh, for the front end, we used, uh, React JS for maintaining. And the MVC architecture we use for architecture we use in the project. So my primary function is assist with a wide range of queries. By providing information, discussion, and engaging in discussion, I can help with the topic related to a technology, coding, and various other subjects with my extension to, uh, for training data up to 2 to 2.

With my practice, suggest an approach to map complex object relationship in a Java application that added to solid principle in Java. Okay. Fine. So, uh, mapping complex object, uh, relationship in Java application while adhering to solid principle involve a combination of careful design, appropriate use of framework, and hibernate or JPA, uh, for the object relationship mapping, that is a ORM. For the structured approach, uh, we use the SIP single principle single responsibility principle. Each class should have one and only one reason to change. Entities, DTOs, uh, open and close principle, which is OCP, where the class should be open for the extension and close for the modification, Inheritance repository, uh, and LSP is the linguistic substitution principle, which is used, uh, on the base type to ensure the inheritance hierarchy design derived classes can be used without altering the desired behavior of the test class.

Okay. So, uh, for a Java application, how can my badges improve patches operation performance, and what are the caveats? Job update. So to increase the performance of each patches, increase operation performance on the carrier, efficiency of data structure, minimize data interaction, and optimize algorithm, and use of asynchronous processing and profiling and monitoring, reduce serialization, deserialization overhead, concurrency control. Caviar is a complexity, memory, overheat, threat management, consistency, and premature optimization. Okay. So complexity, for example, introducing advanced optimization that increase the complexity of the code, make it harder to maintain and debugging. Memory overhead like caching and using in memory data structure can increase the memory for your application.

How do you approach writing testable code for both Java and Kotlin when developing a spring based microservices? Okay. So while flexible code that can be used in both Java and Kotlin, especially working in 3 d micro microprocessor involve careful planning, Uh, for achieving, use common libraries and the framework by the modular design, uh, write write code, uh, testing and tooling, uh, interface with, uh, microprocessor, JDK implementation of Java. Okay. Uh, so for testing and tooling cool uh, write automatic code, for example, for the coding feature, when writing coding code, use the automatic, Kotlin feature like null safety, data classes, and color routines. Java compatibility, Avoid using, uh, code specific feature that may have a direct equivalent in Java if you plan to port the code back and forth.

Using a Scala, how would you implement a caching mechanism for a REST API to enhance the efficiency of read heavy endpoint. K. Like, uh, implementing caching mechanism for a REST API to enhance the efficiency of GPT 1000 endpoint involve a several step including choosing the right, uh, caching strategy, suitable caching there, ensuring the cache effectively. So that is a TTL. That is a time based caching and contain based caching. So how useful for caching response based on request contained. Select the caching layer. Common caching solution include in memory caches like reddish or in cached application level cache like, library, caffeine, integrating caching with the rest API. Okay. So

How can Firebase serve a supplemental database solution in a primarily MySQL back end Java application. K. So integrating Firebase as a supplementary database solution in a primary MySQL back in Java, uh, synchronization offline capability, easy integration with mobile platform. Uh, there are several step step which we can, uh, achieve for this, uh, application, like, ident identify use cases for Firebase, like, real time feature off end capabilities, user specific data, set up the Firebase by creating the Firebase project console and set up the database from the Fire Console. And, uh, now we can add the SDK to the Firebase. And for the Gradle, uh, initialize the initialize the Firebase in the Java application and integrating the Firebase in the application logic. Okay. So that is in the service layer. We can use it. And integrating MySQL back end when a user perform with activity that need to be logged, you'll update both MySQL and the Firebase at that time and handle data consistency and conflict resolution, monitor and maintain. So this is all. We can solve the supplementary database solution.

Given this Java code snippet that use the hibernate framework, can you identify what issue may occur when executing it and how it can affect the application? Session session equal to session factory dot open session method. Transaction ts is equal to null. Try block t x is equal to session dot begin transaction. Perform some database operation. T h dot commit cash exception e. If t s not equal to null, t s dot rollback through e, finally, session dot close. So in the code, the framework, it is a hibernate, uh, framework to have some syntax issue and likely pseudo code. Here's a clean, uh, up version of the code that analysis of the potential issue that occurred when executing it, like cleanup code. Analyze the potential issues as that is a session leak and multiple rollback and nested transaction. Recommendation for best practices ensure proper handling exception handling.

Look at this JavaScript function which imply common design pattern. Can you explain the pattern and discuss the potential drawback of using this pattern in a large scale application?

Suggest a strategy for developing a scalable service using Hibernate that handle complex nested transaction. Enjoy. Okay. For developing a scalable, uh, services that handle complex method of transaction using the Hibernate involved the several strategy and best practices. This strategy focus on ensuring efficient data based access, maintaining data, integrity, and optimization performance. Here, there's some, uh, strategy, efficient session management, uh, and connecting, pulling, caching, and, uh, batch batch processing, and optimistic locking, and query optimization.

Outline method to utilize AWS the system included in the. Sorry. I don't know about this. I'll check.

Considering the wholesale industry, how could you how could you use cloud function in Firebase to automate inventory thinking? Okay. So, uh, integrating Cloud Function for automatic inventory thinking as, uh, key aspect for the Cloud Function event driven trigger, uh, real time data processing and integration with external API, scalability and cost efficiency, workflow orchestration, and implementation of, uh, Cloud function.