Java Full Stack with React Interview Questions in Ahmedabad
36 practice questions with answers for Java Full Stack with React interviews in Ahmedabad.
Java Full Stack with React jobs in Ahmedabad
Ahmedabad and GIFT City have a growing market for IT services, fintech and product start-ups. Companies here value hands-on skills and the ability to work across tools, especially in smaller teams.
Below are 36 questions that match the mix of service, product and domain employers hiring java full stack developers in Ahmedabad.
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01
What is Spring Boot and how is it different from the Spring Framework?
Spring Framework provides dependency injection, MVC, data access and transactions, but traditionally needed a lot of manual configuration and an external server. Spring Boot sits on top of Spring and adds auto-configuration, starter dependencies, an embedded Tomcat, Jetty or Undertow server, externalised configuration and production features like Actuator. You can run an application as a single executable jar with java -jar, which makes it ideal for microservices and containers.
02
What causes LazyInitializationException and how do you fix it properly?
It occurs when a lazy association is accessed after the persistence context has closed, for example in a controller or during JSON serialisation outside the transaction. The proper fix is to fetch the data inside the service transaction using JOIN FETCH or @EntityGraph and map it to a DTO. Avoid enabling spring.jpa.open-in-view as a crutch, and avoid switching associations to eager, because both hide performance problems.
The GC frees objects that are no longer reachable from GC roots such as thread stacks and static fields. Most objects die young, so the heap is generational: minor collections clean the young generation often and survivors are promoted. G1 is the default collector since Java 9 and targets predictable pause times by collecting regions. ZGC and Shenandoah offer sub-millisecond pauses for large heaps. Tuning usually starts with -Xmx and choosing the collector, not dozens of flags.
04
Find the top 3 highest-paid employees in each department.
SELECT department_id, name, salary
FROM (
SELECT department_id, name, salary,
DENSE_RANK() OVER (
PARTITION BY department_id
ORDER BY salary DESC) AS rnk
FROM employees
) ranked
WHERE rnk <= 3
ORDER BY department_id, rnk;
-- DENSE_RANK keeps ties; use ROW_NUMBER for exactly 3 rows.
05
You are loading about five lakh records into an ArrayList and a HashMap and memory spikes during loading. What can you do?
Both collections resize by copying when they grow, which causes temporary memory spikes. Pre-size them, for example new ArrayList<>(500000) and HashMap with capacity of expected size divided by 0.75. Better still, avoid holding everything at once: process the data in batches or stream it from the database with pagination. Use primitive-friendly structures or IntStream where possible to avoid boxing overhead.
06
You need to store unique usernames and always display them in alphabetical order. Which collection do you pick?
A TreeSet fits because it rejects duplicates and keeps elements sorted using natural order or a Comparator, with O(log n) add and lookup. Use String.CASE_INSENSITIVE_ORDER as the comparator if Rahul and rahul should be treated as the same. If you only need sorting once at display time, a HashSet followed by sorting may be faster. For concurrent access, ConcurrentSkipListSet is the thread-safe sorted alternative.
07
Write a production-friendly Dockerfile for a Spring Boot application.
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.
10
Write a repository query that loads orders with their items in one query.
public interface OrderRepository extends JpaRepository<Order, Long> {
@Query("""
select distinct o from Order o
join fetch o.items i
where o.customer.id = :customerId
""")
List<Order> findWithItems(@Param("customerId") Long customerId);
@EntityGraph(attributePaths = {"items", "customer"})
Optional<Order> findWithGraphById(Long id);
}
11
Your application fails at startup with a circular dependency error between two services. What do you do?
Spring Boot 2.6 and later forbid circular references by default. The real fix is design: two services depending on each other usually means a responsibility is in the wrong place. Extract the shared logic into a third bean, or use an application event so one service notifies the other without a direct reference. Using @Lazy or allowing circular references in properties hides the problem and should only be a temporary workaround.
12
Explain Inversion of Control and Dependency Injection.
Inversion of Control means the framework, not your code, creates and wires objects. Dependency Injection is how Spring does it: a class declares what it needs, usually through its constructor, and the container supplies the beans. For example, OrderService receives an OrderRepository instead of creating one with new. This reduces coupling, makes it easy to swap implementations and lets you pass mocks in unit tests.
13
You need a thread-safe singleton for a configuration loader. How do you implement it?
The simplest safe options are an enum singleton or the holder idiom. With the holder idiom, a private static nested class holds the instance, and the JVM's class loading guarantees lazy, thread-safe initialisation without synchronization. Double-checked locking also works but needs a volatile field. In a Spring application you usually do not write singletons at all, because beans are singleton-scoped by default and the container manages them.
React is a JavaScript library for building user interfaces from reusable components. Components describe what the UI should look like for a given state, and React updates the browser DOM when the state changes. The virtual DOM is a lightweight in-memory tree of the UI. On each update, React compares the new tree with the previous one and applies only the minimum real DOM changes, which keeps updates efficient and the code declarative.
15
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 ${DB_PASSWORD} and supply them through environment variables, Kubernetes Secrets or a vault like HashiCorp Vault or a cloud secrets manager. Add a pre-commit secret scanner, keep local values in an ignored file, and give each environment its own credentials with least privilege.
16
Show how to read a file safely using try-with-resources.
The JVM runs Java bytecode and handles memory, garbage collection and JIT compilation. The JRE is the JVM plus core class libraries needed to run programs. The JDK is the JRE plus development tools such as javac, jar, jshell and jdb. Since Java 11 a separate JRE is no longer shipped by Oracle, so developers install a JDK such as Temurin or Oracle JDK 17 or 21 and build smaller runtimes with jlink if needed.
function debounce(fn, delay = 300) {
let timer;
return function (...args) {
clearTimeout(timer);
timer = setTimeout(() => fn.apply(this, args), delay);
};
}
const search = debounce(term => {
fetch(`/api/products?q=${encodeURIComponent(term)}`);
}, 400);
input.addEventListener('input', e => search(e.target.value));
// Only the last call within 400 ms actually runs.
19
Which features from Java 17 and Java 21 are useful for a full stack developer?
Java 17 brought records for immutable data carriers, sealed classes to restrict inheritance, text blocks for multi-line JSON or SQL, and pattern matching for instanceof. Java 21, the current widely used LTS alongside 17, added virtual threads for cheap blocking concurrency, pattern matching for switch, record patterns and sequenced collections. Spring Boot 3 needs Java 17 or later, and from Boot 3.2 virtual threads can be enabled with one property.
20
What are window functions and how are they different from GROUP BY?
Window functions compute a value over a set of related rows while keeping every row in the result, unlike GROUP BY which collapses rows into one per group. They use the OVER clause with optional PARTITION BY and ORDER BY. Examples are ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD and running SUM. For instance, you can show each employee with their department's average salary in the same row.
21
What changed when moving from Spring Boot 2 to Spring Boot 3?
Spring Boot 3 requires Java 17 or later and is built on Spring Framework 6. The biggest migration task is the switch from javax.* to jakarta.* packages for persistence, validation and servlet APIs. Spring Security 6 removed WebSecurityConfigurerAdapter in favour of SecurityFilterChain beans. Boot 3 also supports GraalVM native images, Micrometer observation and tracing, and from 3.2 the RestClient and virtual thread support.
22
What is the difference between a clustered and a non-clustered index?
A clustered index defines the physical order of rows, so the table data itself is stored in the index and there can be only one. In MySQL InnoDB the primary key is the clustered index. A non-clustered or secondary index is a separate structure holding the indexed columns and a pointer, or the primary key in InnoDB, to the row. That is why a short primary key keeps every secondary index smaller.
23
What is the difference between lazy and eager fetching?
Lazy fetching loads an association only when it is first accessed, using a proxy. Eager fetching loads it immediately with the parent. By default, @OneToMany and @ManyToMany are lazy, while @ManyToOne and @OneToOne are eager. Best practice is to make all associations lazy and fetch what each use case needs with JOIN FETCH or entity graphs, because eager loading often pulls large object graphs and causes extra queries.
24
Your code has frequent NullPointerExceptions from repository lookups. How would you redesign it?
Return Optional from lookup methods so callers must handle the missing case, for example findById(id).orElseThrow(). Validate inputs at the API boundary with Bean Validation, initialise collections to empty lists instead of null and use Objects.requireNonNull in constructors. Java 17 helpful NPE messages show which variable was null, which speeds debugging. Do not use Optional for fields or method parameters; it is meant for return values.
25
After calling setCount(count + 1), console.log(count) still shows the old value. Why?
State updates are scheduled, not applied immediately. The count variable in the current render is a constant snapshot, so logging right after setState shows the old value; the new value appears in the next render. React also batches multiple updates. When the next state depends on the previous one, use the updater form setCount(c => c + 1), which works correctly even when called several times. Use useEffect to react to the updated value.
26
How do indexes improve performance, and when can they hurt?
An index, usually a B-tree, lets the database find rows without scanning the whole table, which speeds up WHERE, JOIN and ORDER BY on indexed columns. Indexes cost disk space and slow down INSERT, UPDATE and DELETE because each index must also be updated. They help little on low-selectivity columns like a boolean flag. Functions on the column, such as WHERE LOWER(email) = ?, or a leading wildcard in LIKE also prevent normal index use.
27
Under load, requests fail with a connection timeout from HikariCP. What do you check?
This means all pool connections are busy. Check for long-running queries, transactions held open during remote calls, and connection leaks from code that never closes resources; set leakDetectionThreshold to find them. Compare maximumPoolSize with the database's max connections across all instances, since a bigger pool is not always better. Monitor Hikari metrics through Actuator, fix slow queries and keep @Transactional boundaries short.
28
Find the second highest salary from a list of employees using streams.
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.
30
Return only a few columns using an interface-based projection.
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.
33
A search query that used to take milliseconds now takes 10 seconds as data grew. How do you troubleshoot?
Get the exact SQL from logs or the slow query log and run EXPLAIN ANALYZE to see whether it does a full scan, a bad join order or a big sort. Check for missing or unused indexes, functions on indexed columns, implicit type conversions and outdated statistics. Add the right composite index, rewrite the query, select fewer columns and paginate. For text search, use a full-text index or a search engine instead of LIKE '%term%'.
34
When would you use the Context API and when a state library like Redux Toolkit or Zustand?
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.
35
Paging through a large table with OFFSET becomes very slow on later pages. What is a better approach?
With OFFSET 500000, the database still reads and discards half a million rows. Use keyset or seek pagination instead: remember the last seen sort key and query WHERE (created_at, id) < (:lastDate, :lastId) ORDER BY created_at DESC, id DESC LIMIT 20, backed by a matching index. This is fast at any depth and stable when new rows arrive. The trade-off is no direct jump to page N, which suits infinite scroll and APIs.
Events bubble up from the target element to its ancestors. With event delegation you attach one listener to a parent, such as a ul, and use event.target.closest('li') to find which child was clicked. This saves memory compared with a listener on every item and automatically works for items added later. It is commonly used for dynamic tables and lists. React uses a similar idea by attaching listeners at the root.
Frequently asked questions
Which companies hire Java Full Stack with React professionals in Ahmedabad?
Companies with large offices in Ahmedabad include many IT services and product firms. Use their company pages below to practise employer-specific sets.
Are Java Full Stack with React interviews in Ahmedabad different from other cities?
The questions depend more on the company than the city. Ahmedabad's mix of employers decides the style: Companies here value hands-on skills and the ability to work across tools, especially in smaller teams
How do I find Java Full Stack with React jobs in Ahmedabad?
Shortlist companies with Ahmedabad offices, keep your CV focused on Java Full Stack with React projects, apply on company career pages and job portals with the Ahmedabad filter, and practise the questions on this page before each interview.