36 practice questions with answers for Java interviews in Nagpur.
Java jobs in Nagpur
Nagpur's MIHAN SEZ hosts IT-services and BFSI delivery centres, giving central India a steady market for data and QA roles. Interviews are usually service-company style, with aptitude, technical and HR rounds.
Below are 36 questions that match the mix of service, product and domain employers hiring java developers in Nagpur.
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01
Implement equals() and hashCode() for an Employee class with id and email.
Use the same fields in both methods.
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (!(o instanceof Employee e)) return false;
return id == e.id && Objects.equals(email, e.email);
}
@Override
public int hashCode() {
return Objects.hash(id, email);
}
Pattern matching for instanceof (Java 16) avoids an explicit cast.
02
Group a list of orders by city and sum the amount per city.
Use groupingBy with a summing collector.
Map<String, Double> totals = orders.stream()
.collect(Collectors.groupingBy(
Order::city,
TreeMap::new,
Collectors.summingDouble(Order::amount)));
TreeMap keeps cities sorted. For money, store amounts as long paise or BigDecimal and use Collectors.reducing with BigDecimal::add.
03
You need to add a new payment method to a system that has a big if-else on payment type. How would you redesign it?
This breaks the Open/Closed principle. I would create a PaymentProcessor interface with a pay() method and one implementation per type, such as UpiProcessor and CardProcessor. A factory or a Spring map of beans keyed by type picks the right one. Adding a new method then means adding one new class without touching existing tested code, and each processor can be unit tested alone.
04
An API calls three independent downstream services one after another and takes 900 ms. How would you speed it up?
Since the calls are independent, run them in parallel with CompletableFuture.supplyAsync on a dedicated executor or with virtual threads, then join with allOf. Total latency becomes roughly the slowest call, about 300 ms. Add a timeout per call with orTimeout and a fallback for failures so one slow service does not block the whole response. Structured concurrency is another option in newer Java.
05
Write a unit test for a service class using JUnit 5 and Mockito.
Mock the repository and verify behaviour.
@ExtendWith(MockitoExtension.class)
class ProductServiceTest {
@Mock ProductRepository repo;
@InjectMocks ProductService service;
@Test
void throwsWhenMissing() {
when(repo.findById(1L)).thenReturn(Optional.empty());
assertThrows(NotFoundException.class, () -> service.get(1L));
verify(repo).findById(1L);
}
}
No Spring context starts, so the test runs in milliseconds.
06
Write a record with validation in its compact constructor.
A compact constructor runs before fields are assigned.
public record Money(String currency, long paise) {
public Money {
Objects.requireNonNull(currency);
if (paise < 0) {
throw new IllegalArgumentException("negative amount");
}
}
public Money add(Money o) {
return new Money(currency, paise + o.paise);
}
}
Storing money in paise as long avoids floating point errors.
A lambda can use a local variable from the enclosing method only if that variable is final or effectively final, meaning it is never reassigned after initialisation. Lambdas capture the value, not the variable, so this avoids confusing behaviour and races. To accumulate results, use a stream collector or an AtomicInteger instead of changing a captured local.
08
Tell me about a time you made a codebase more readable.
Situation: our reporting module had nested loops 200 lines long that new joiners feared. Task: make it maintainable without changing output. Action: I added snapshot tests on real report files, then refactored into small methods using streams, groupingBy and records for intermediate data, and reviewed each step with a teammate. Result: the module shrank by 40 percent and later changes took a day instead of a week.
At startup Spring Boot reads auto-configuration classes listed in META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports. Each class uses conditions like @ConditionalOnClass, @ConditionalOnMissingBean and @ConditionalOnProperty, so it creates beans only when the library is on the classpath and you have not defined your own. Run with --debug to see the condition report showing what was applied and why.
Strings are immutable so they can be safely shared from the string pool, used as HashMap keys with a cached hash code, passed between threads without locking and trusted in security checks such as file paths and class names. Any change, like concat or replace, creates a new String. For heavy modification use StringBuilder, which changes its internal buffer in place.
Optional is a container that may or may not hold a value, used mainly as a method return type to show that a result can be absent, for example findById. Use map, filter, orElse, orElseGet and orElseThrow instead of calling get() blindly. Do not use Optional for fields, parameters or collections, and prefer orElseGet when the default is costly to create.
Sealed classes and interfaces, final in Java 17, restrict which classes can extend them using the permits clause, for example sealed interface Shape permits Circle, Square. Each subclass must be final, sealed or non-sealed. This models a closed set of types, and with pattern matching for switch in Java 21 the compiler can check that every case is handled without a default branch.
13
Join a list of names into a comma separated string with brackets using streams.
You can extend Thread and override run(), or implement Runnable or Callable and pass it to a Thread or an ExecutorService. Callable returns a result and can throw checked exceptions, giving a Future. Modern code rarely creates threads directly; it uses executors, CompletableFuture or, from Java 21, virtual threads with Thread.ofVirtual().start(task).
15
An API needs to find the price band for any amount, for example the nearest lower slab. Which structure fits?
TreeMap is ideal because it keeps keys sorted and offers navigation methods. Store slab start amounts as keys and the band as value, then floorEntry(amount) returns the largest slab not above the amount in O(log n). ceilingKey, headMap and tailMap help with similar range queries such as tax slabs or delivery charges.
16
Your service throws OutOfMemoryError: Java heap space in production. How do you investigate?
First capture evidence: enable -XX:+HeapDumpOnOutOfMemoryError and check GC logs to see if heap grows steadily, which signals a leak, or spikes, which signals a large request. Analyse the heap dump in Eclipse MAT or VisualVM and look at the dominator tree for big retainers like static maps or caches. Fix the leak or bound the cache, then increase -Xmx only if the real workload needs it.
volatile guarantees visibility and ordering: a write to a volatile field is immediately visible to other threads, and it prevents reordering around that access under the Java Memory Model. It does not make compound operations like count++ atomic, because that is a read, modify and write. Use it for flags such as a stop signal, and use AtomicInteger or locks for counters.
Exception chaining wraps a low level exception in a higher level one while keeping the original as the cause, for example throw new OrderException("save failed", sqlEx). The full stack trace shows both, with Caused by lines. It lets each layer speak its own language without losing the root cause, which is essential when debugging production logs.
19
A team member compares two Integer values with == and the check fails only for large numbers. Explain.
Integer.valueOf caches objects for values from -128 to 127, so autoboxed small numbers share the same object and == returns true. Larger values create new Integer objects, so == compares two different references and returns false. The fix is to use equals() or compare unboxed int values. Static analysis tools like SonarQube flag this pattern.
20
Tell me about a time you optimised a slow database query.
Situation: the customer search page took 6 seconds at peak. Task: bring it under 500 ms. Action: I captured the SQL, ran EXPLAIN ANALYZE and found a full scan due to LOWER(email) on an unindexed column and an N+1 on addresses. I added a functional index, fetched addresses with an entity graph and added pagination. Result: response time dropped to 180 ms and database CPU fell by a third.
21
Code builds a large CSV report with String += inside a loop and it is very slow. Why and what is the fix?
Each += creates a new String and copies all previous characters, so building n rows is O(n squared) in time and creates huge garbage. Use a single StringBuilder with append() inside the loop, ideally with an initial capacity, or write rows directly to a BufferedWriter for very large output. This turns minutes of work into milliseconds.
22
Describe a situation where you had to deliver under a tight deadline.
Situation: a bulk upload feature had to go live in four days for a client launch. Task: build it safely in time. Action: I split it into must-have and later items, used an ExecutorService to process rows in parallel, wrote focused tests for validation and kept the product owner updated daily. Result: we shipped on time, it handled 50,000 rows in under two minutes and we added the extras next sprint.
23
What are virtual threads and when should you use them?
Virtual threads, final in Java 21, are lightweight threads managed by the JVM and mounted on a small pool of carrier OS threads. When one blocks on I/O, it unmounts so the carrier can run another. You can run millions of them, which suits thread-per-request servers doing lots of blocking calls. They do not speed up CPU-bound work, and you should not pool them.
24
What is the difference between HashMap, LinkedHashMap and TreeMap?
HashMap gives O(1) average operations with no ordering guarantee. LinkedHashMap keeps insertion order, or access order if configured, which helps build an LRU cache. TreeMap keeps keys sorted by natural order or a Comparator with O(log n) operations and supports range methods like floorKey and headMap. HashMap allows one null key; TreeMap does not allow null keys with natural ordering.
25
You need a cache that evicts the least recently used item when full. How would you build it in Java?
Extend LinkedHashMap with accessOrder set to true and override removeEldestEntry to return true when size exceeds capacity. Each get moves the entry to the end, so the eldest is the least recently used. It is not thread safe, so wrap it with synchronization for shared use. In production prefer Caffeine, which offers size and time based eviction with high concurrency.
The entity was loaded inside a transaction, the session closed, and then Jackson touched a lazy association outside it. Do not fix it by turning on open-session-in-view or making everything eager. Instead, map the entity to a DTO inside the service transaction and fetch needed associations explicitly with JOIN FETCH or an entity graph. Spring Boot logs a warning because open-in-view is on by default.
28
Write a minimal Dockerfile for a Spring Boot application.
A multi-stage build keeps the image small.
FROM eclipse-temurin:21-jdk AS build
WORKDIR /app
COPY . .
RUN ./mvnw -q package -DskipTests
FROM eclipse-temurin:21-jre
WORKDIR /app
COPY --from=build /app/target/*.jar app.jar
EXPOSE 8080
ENTRYPOINT ["java", "-XX:MaxRAMPercentage=75", "-jar", "app.jar"]
Spring Boot can also build images without a Dockerfile using mvn spring-boot:build-image.
29
Implement the Builder pattern for a User class with many optional fields.
A builder avoids long constructors.
public class User {
private final String name; private final int age;
private User(Builder b) { name = b.name; age = b.age; }
public static class Builder {
private String name; private int age;
public Builder name(String n) { name = n; return this; }
public Builder age(int a) { age = a; return this; }
public User build() { return new User(this); }
}
}
Usage: new User.Builder().name("Asha").age(25).build(). Lombok @Builder generates this.
30
toMap() throws Duplicate key exception in production. How do you fix it?
The data has repeated keys that the developer assumed were unique. Decide the business rule, then pass a merge function, for example toMap(User::email, u -> u, (a, b) -> a) to keep the first, or use groupingBy if all values are needed. Also check upstream data quality, since duplicates may signal a deeper bug such as missing unique constraints.
31
Describe a time you improved the design of existing code.
Situation: our notification module used a 400 line class with switch cases for email, SMS and WhatsApp. Task: add push notifications without breaking anything. Action: I wrote tests for current behaviour, extracted a Notifier interface with one class per channel and used Spring to inject them by type. Result: push was added in one new class, bugs in that module dropped and new channels now take hours, not days.
32
What is the difference between HashMap and ConcurrentHashMap?
HashMap is not thread safe; concurrent writes can lose data or corrupt the structure. ConcurrentHashMap supports full concurrency: reads are lock free and writes use CAS or lock a single bin, so threads rarely block each other. It does not allow null keys or values. It also provides atomic compound operations such as computeIfAbsent and merge, which avoid check-then-act races.
33
Write a custom unchecked exception and a Spring handler that returns HTTP 404.
Define the exception, then map it centrally.
public class NotFoundException extends RuntimeException {
public NotFoundException(String msg) { super(msg); }
}
@RestControllerAdvice
public class ApiErrors {
@ExceptionHandler(NotFoundException.class)
public ProblemDetail notFound(NotFoundException e) {
return ProblemDetail.forStatusAndDetail(
HttpStatus.NOT_FOUND, e.getMessage());
}
}
Actuator adds production endpoints such as /actuator/health for liveness and readiness probes, /actuator/metrics and /actuator/prometheus for Micrometer metrics, plus info, loggers and thread dumps. Expose only what you need with management.endpoints.web.exposure.include and secure sensitive endpoints with Spring Security. Kubernetes uses the health groups to decide restarts and traffic routing.
Fail-fast iterators, used by ArrayList and HashMap, throw ConcurrentModificationException if the collection is structurally modified during iteration other than through the iterator itself; they check a modCount. Fail-safe or weakly consistent iterators, as in ConcurrentHashMap and CopyOnWriteArrayList, work on a snapshot or tolerate changes and never throw, but may not show the latest updates.
36
Exceptions are being swallowed with empty catch blocks in your codebase. How would you fix this?
Empty catches hide failures and make production issues invisible. I would find them with static analysis like SonarQube, then decide per case: handle the error properly, rethrow wrapped with context, or at least log with the stack trace. I would add a global exception handler for APIs and a team rule in code review and lint config to block new empty catch blocks.
Few big employers listed in Nagpur?
Many Nagpur candidates also apply to teams in Pune and to remote or hybrid roles. Practise the Pune set as well.
Which companies hire Java professionals in Nagpur?
Companies with large offices in Nagpur include many IT services and product firms. Use their company pages below to practise employer-specific sets.
Are Java interviews in Nagpur different from other cities?
The questions depend more on the company than the city. Nagpur's mix of employers decides the style: Interviews are usually service-company style, with aptitude, technical and HR rounds
How do I find Java jobs in Nagpur?
Shortlist companies with Nagpur offices, keep your CV focused on Java projects, apply on company career pages and job portals with the Nagpur filter, and practise the questions on this page before each interview.