Persistent Systems Java Full Stack with React Interview Questions & Answers
Curated interview practice questions with answers. These are practice scenarios, not a verified list of past interview questions.
About Persistent Systems hiring for Java Full Stack with React roles
Persistent Systems is an Indian technology services company focused on software product engineering, digital transformation, cloud and data services. It serves clients in banking, healthcare, life sciences and software. In India it hires for software engineers, quality engineers, data engineers and analysts, often through campus drives with coding-focused assessments.
For Java Full Stack with React roles, this Persistent Systems practice set focuses most on Collections and Streams (5), Spring Boot (5), Core Java (4), JavaScript, HTML and CSS (4). It has 15 easy, 15 medium questions, so you can start easy and work up to the harder ones.
Company type
IT services
Headquarters
Pune, India
Main India offices
Pune, Nagpur, Bengaluru, Hyderabad, Goa
Persistent Systems Java Full Stack with React interview process
Online assessment (aptitude + coding)
Technical round 1
Technical round 2
HR round
Typical pattern based on public candidate experiences. Rounds vary by role, team and year.
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01
Implement pagination and sorting for a product list API.
Context is good for passing low-frequency global values such as theme, language or the logged-in user without prop drilling. Every consumer re-renders when the context value changes, so it is not ideal for fast-changing data. Redux Toolkit or Zustand suit larger shared client state with many updates, selectors and dev tools. Server data like API responses is often best handled by TanStack Query, which adds caching and refetching.
03
What is the difference between Comparable and Comparator?
Comparable defines a class's natural ordering through compareTo, implemented inside the class itself, such as String or Integer. Comparator is a separate object with compare, so you can define many orderings without changing the class. Since Java 8, Comparator.comparing, thenComparing and reversed make multi-field sorting concise. Use Comparable for one obvious order and Comparator for business-specific sorting like price then rating.
ArrayList is backed by a resizable array, giving O(1) random access and good cache locality, and appending is amortised O(1). LinkedList is a doubly linked list with O(1) insertion at known nodes but O(n) access by index and more memory per element. In practice ArrayList is faster for almost all workloads. For queue or stack behaviour, ArrayDeque is usually better than LinkedList.
05
In a bidirectional @OneToMany relationship, what does mappedBy mean?
mappedBy marks the inverse side and names the field on the other entity that owns the relationship. The owning side, usually the @ManyToOne with the foreign key column, is the one Hibernate uses to write the join column. For example, Order has @OneToMany(mappedBy = "order") and OrderItem has @ManyToOne @JoinColumn(name = "order_id"). Always update both sides in helper methods such as addItem to keep the object graph consistent.
06
What is the difference between checked and unchecked exceptions?
Checked exceptions extend Exception (but not RuntimeException) and must be caught or declared with throws, for example IOException or SQLException. Unchecked exceptions extend RuntimeException, such as NullPointerException or IllegalArgumentException, and the compiler does not force handling. Use checked exceptions for recoverable conditions the caller should handle, and unchecked ones for programming errors. Spring prefers unchecked exceptions, for example DataAccessException, to keep service code clean.
07
Why do you want to become a Java full stack developer?
I enjoy building a feature end to end, from the database table to the screen the user clicks. Java and Spring Boot are used widely in Indian banking, product and services companies, so the skills stay in demand, and React lets me build modern interfaces. In my capstone project I built an inventory app with Spring Boot, MySQL and React, and owning the full flow taught me how each layer affects the user experience.
08
Why is constructor injection preferred over field injection?
Constructor injection makes dependencies explicit and lets fields be final, so the object is always fully initialised and immutable. It allows plain unit tests without Spring or reflection, because you can pass mocks to the constructor. A long constructor also signals that a class has too many responsibilities. Field injection with @Autowired hides dependencies and needs a container or reflection in tests. With a single constructor, @Autowired is not even needed.
A promise represents a value that will be available later, handled with then, catch and finally. async/await is syntax built on promises: an async function always returns a promise, and await pauses that function until the promise settles, so asynchronous code reads like synchronous code. Errors are handled with try/catch. Awaiting calls one by one is sequential, so use Promise.all for independent calls to run them in parallel.
After a successful login, the server issues a JSON Web Token containing a header, a payload of claims such as user ID, roles and expiry, and a signature made with a secret or private key. The client sends it in the Authorization: Bearer header with each request. The server verifies the signature and expiry without a session lookup, which suits stateless APIs. Keep access tokens short-lived, do not store sensitive data in the payload because it is only encoded, and use refresh tokens for renewal.
11
Write a query to find duplicate email addresses in a users table and delete the extra rows.
-- Find duplicates
SELECT email, COUNT(*) AS cnt
FROM users
GROUP BY email
HAVING COUNT(*) > 1;
-- Keep the lowest id, delete the rest (MySQL / PostgreSQL)
DELETE FROM users u
USING users k
WHERE u.email = k.email
AND u.id > k.id; -- PostgreSQL syntax
-- Then add: ALTER TABLE users ADD CONSTRAINT ux_email UNIQUE (email);
12
Compare monolithic and microservices architecture.
A monolith is one deployable application. It is simpler to build, test and debug, and suits small teams and early products. Microservices split the system into independently deployable services owned by separate teams, such as orders, payments and inventory, each with its own database. They allow independent scaling and releases but add network latency, distributed data, monitoring and deployment complexity. Many teams start with a modular monolith and split only when needed.
A List is an ordered collection that allows duplicates and index access, such as ArrayList. A Set holds unique elements; HashSet has no order, LinkedHashSet keeps insertion order and TreeSet keeps elements sorted. A Map stores key-value pairs with unique keys, such as HashMap or TreeMap, and is not part of the Collection interface. Choose based on whether you need duplicates, ordering or lookup by key.
Props are inputs passed from a parent component and are read-only inside the child. State is data owned by a component that can change over time, managed with useState or useReducer, and changing it triggers a re-render. For example, a ProductCard receives a product as props, while a cart counter keeps its quantity in state. When two components need the same state, lift it up to their common parent.
It is a convenience annotation combining three annotations. @SpringBootConfiguration marks the class as a configuration source. @EnableAutoConfiguration tells Boot to configure beans based on the classpath and properties, for example a DataSource when a JDBC driver is present. @ComponentScan scans the package of the main class and its sub-packages for components. That is why the main class should sit in the root package of your project.
@Bean
PasswordEncoder passwordEncoder() {
return new BCryptPasswordEncoder(12);
}
public void register(RegisterRequest req) {
User user = new User(req.email(), encoder.encode(req.password()));
userRepository.save(user);
}
public boolean checkLogin(String raw, User user) {
return encoder.matches(raw, user.getPasswordHash());
}
// BCrypt adds a random salt and is deliberately slow.
// Never store plain text or use MD5/SHA-1 for passwords.
18
What is the difference between authentication and authorization?
Authentication verifies who the user is, for example by checking a password, OTP or token. Authorization decides what that authenticated user is allowed to do, for example only admins can delete products. In Spring Security, authentication produces an Authentication object with granted authorities, and authorization uses those authorities in URL rules or annotations like @PreAuthorize("hasRole('ADMIN')"). A failed authentication gives 401 and a failed authorization gives 403.
19
What is a functional interface and how do lambdas relate to it?
A functional interface has exactly one abstract method, such as Runnable, Comparator, Function, Predicate, Supplier or Consumer, and can be marked with @FunctionalInterface. A lambda expression is a short implementation of that single method, for example Predicate<String> empty = s -> s.isBlank(). Method references like String::toUpperCase are an even shorter form. Lambdas power the Streams API and callback-style code.
20
How does the this keyword work, and how do arrow functions change it?
In a regular function, this depends on how the function is called: the object before the dot in a method call, undefined in strict mode for a plain call, the new object with new, or a value set by call, apply or bind. Arrow functions do not have their own this; they use this from the surrounding scope. That makes arrows ideal for callbacks inside methods, but unsuitable as object methods that need their own this.
21
What is the contract between equals() and hashCode()?
If two objects are equal according to equals(), they must return the same hashCode. Unequal objects may share a hash code, but fewer collisions give better performance. If you override equals without hashCode, HashMap and HashSet will fail to find objects that are logically equal. Base both methods on the same immutable fields; records and IDE or Lombok generation create them correctly.
22
Write a production-friendly Dockerfile for a Spring Boot application.
During compilation, declarations are moved to the top of their scope. Function declarations are hoisted fully, so they can be called before they appear. var declarations are hoisted and initialised to undefined. let, const and class declarations are hoisted but stay uninitialised in the temporal dead zone, so accessing them early throws a ReferenceError. Function expressions assigned to variables follow the variable's rules.
24
Why should we hire you as a Java full stack developer?
I can contribute on both sides of a feature: I have built REST APIs with Spring Boot, JPA and MySQL, and responsive React screens that consume them. I write tests, use Git properly and have deployed my projects with Docker. I also learn quickly; I picked up Spring Security and JWT for my capstone in two weeks. I am looking for a team where I can grow into an engineer who owns features from design to production.
25
Explain the database design of a project you have worked on.
In my e-commerce project I designed tables for users, addresses, products, categories, orders, order_items and payments. Orders had a foreign key to users, and order_items linked orders and products with quantity and price at purchase time, so later price changes did not affect old orders. I added unique constraints on email and SKU, indexes on order status and date, and used Flyway for version-controlled changes.
SELECT e.name AS employee,
e.salary,
m.name AS manager,
m.salary AS manager_salary
FROM employees e
JOIN employees m ON e.manager_id = m.id
WHERE e.salary > m.salary;
-- A self join treats the same table as two roles.
Once created, a String object cannot change. This allows the String pool to safely share literals, makes strings thread-safe without locking, lets hashCode be cached for fast HashMap keys, and protects security-sensitive values like file paths, class names and URLs from being changed after validation. Any operation such as concat or replace returns a new String, which is why heavy modification should use StringBuilder.
28
What is the difference between == and equals() in Java?
The == operator compares references for objects, meaning it checks whether two variables point to the same object in memory. equals() compares logical content when a class overrides it, as String, Integer and most collections do. For example, new String("a") == new String("a") is false but equals() returns true. For primitives, == compares values. Always use equals() for objects and Objects.equals(a, b) to stay null-safe.
29
Database passwords and API keys are committed in application.properties. How do you fix this?
Remove the secrets from the repository, rotate the exposed credentials immediately, and clean the history if needed. Replace values with placeholders such as ${DB_PASSWORD} and supply them through environment variables, Kubernetes Secrets or a vault like HashiCorp Vault or a cloud secrets manager. Add a pre-commit secret scanner, keep local values in an ignored file, and give each environment its own credentials with least privilege.
30
The application fails with NoSuchBeanDefinitionException for a service. How do you debug it?
Check that the class has @Service or @Component, or is created by a @Bean method. Make sure it is inside the package of the main @SpringBootApplication class or a scanned sub-package. If there are several implementations, use @Qualifier or @Primary. Also check @Profile or @Conditional annotations that may disable it in the current environment. Running with --debug prints the condition report that shows why a bean was not created.
Tips to crack the Persistent Systems Java Full Stack with React interview
Practise coding problems of easy to medium difficulty, as Persistent assessments usually focus more on programming than service peers.
Revise data structures, OOP, DBMS and operating system basics for the technical rounds.
Read about Persistent's product engineering background and its partnerships with major cloud providers.
Keep a one-minute story ready for every project on your CV: problem, your part, tools, result.
Practise the hard questions on this page aloud; Persistent Systems interviewers usually ask follow-ups on your first answer.
Frequently asked questions
How many rounds are there in the Persistent Systems Java Full Stack with React interview?
Candidates usually go through 4 stages: Online assessment (aptitude + coding); Technical round 1; Technical round 2; HR round. The exact rounds change with the role, team, location and your experience, so confirm the process with the recruiter.
Which topics should I prepare for the Persistent Systems Java Full Stack with React interview?
This practice set leans on Collections and Streams (5), Spring Boot (5), Core Java (4), JavaScript, HTML and CSS (4). Revise those first, then practise explaining one or two of your own projects end to end, because most Persistent Systems interviewers ask you to walk through real work.
Are these the exact questions asked at Persistent Systems?
No. These are curated practice questions that match the skills and difficulty usually tested in it services interviews like Persistent Systems's. They are not a leaked or verified list of past questions.
Where does Persistent Systems hire Java Full Stack with React professionals in India?
Persistent Systems has large teams in Pune, Nagpur, Bengaluru, Hyderabad, Goa. Openings and locations change often, so check the Persistent Systems careers page and filter by city and experience.
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