Infosys Java Developer Interview Questions & Answers 2026

If you’re preparing for Infosys Java developer interview questions, you’ve come to the right place. Over the past five years, I’ve helped hundreds of Java developers crack interviews at Infosys, TCS, Wipro, and EPAM by breaking down the exact questions they’ll face and providing practical, tested answers. In 2026, Infosys continues to prioritize candidates who understand core Java concepts, multithreading, database optimization, and Spring Framework fundamentals.

⏱️ 22 min read | 📚 Updated June 2026

This guide covers the most frequently asked Infosys Java interview questions based on actual interviews from 2024-2026, complete with working code examples and performance considerations. Whether you’re a fresher with 0-2 years of experience or a mid-level developer with 3-5 years, this resource will help you prepare systematically and confidently.

Unlike generic interview guides, I’ve structured this post around what Infosys hiring managers actually ask—not theoretical fluff. You’ll find real-world scenarios, code snippets you can run immediately, and the reasoning behind why these topics matter for backend development roles.

Table of Contents

• Why Infosys Asks These Questions
• Quick Comparison: Infosys vs TCS vs Wipro Questions
• Core Java Concepts for Infosys Interview
• Multithreading & Concurrency Questions
• Database & SQL Interview Questions
• Spring Framework & Spring Boot Questions
• Top 10 Infosys Java Interview Questions & Answers
• Code Examples with Explanations
• Common Mistakes to Avoid
• Best Practices for Infosys Interviews
• Frequently Asked Questions

Why Infosys Asks These Questions

Infosys, as one of India’s largest IT service providers, interviews hundreds of Java developers every month. Their hiring strategy focuses on identifying developers who can:

• Build scalable backend systems serving millions of requests
• Write thread-safe code in production environments
• Optimize database queries and understand indexing
• Implement microservices using Spring Boot
• Debug complex issues under pressure

Infosys Java developer interview questions are designed to assess these competencies. Unlike startups that might ask algorithmic questions, Infosys focuses on practical, production-level Java knowledge. This means you’ll be asked about design patterns, exception handling, and real-world performance considerations rather than just “print a palindrome.”

Quick Comparison: Infosys vs TCS vs Wipro Questions

Core Java Concepts for Infosys Interview

Infosys expects every Java developer candidate to have crystal-clear understanding of Java fundamentals. These aren’t trick questions—they’re designed to verify that you can write clean, maintainable code. The most critical areas are exception handling, object-oriented programming, and the Collections framework.

Exception Handling Best Practices

Exception handling isn’t just about catching errors—it’s about writing resilient code. In production systems at Infosys clients (banks, insurance companies, e-commerce platforms), poor exception handling can cause data loss or security vulnerabilities. You’ll be asked how to use checked vs unchecked exceptions, when to create custom exceptions, and how to properly log errors.

The key principle: never swallow exceptions silently. Always log them and decide whether to re-throw or handle gracefully. For more details, check the official Java documentation on exceptions.

Collections Framework & Performance

Infosys will test your knowledge of when to use ArrayList vs LinkedList, HashMap vs ConcurrentHashMap, and HashSet vs TreeSet. This matters because choosing the wrong collection can make your application 100x slower when processing millions of records. You need to understand time complexity: ArrayList is O(1) for get but O(n) for insert, while LinkedList is O(n) for get but O(1) for insert at known position.

Immutability & Thread Safety

Understanding immutable objects is crucial for Infosys interview success. String, Integer, and other wrapper classes are immutable for a reason—they’re thread-safe and can be shared across threads without synchronization. You’ll be asked why we make objects immutable and how to create immutable classes.

Multithreading & Concurrency Questions

This is the most important topic for Infosys Java developer interviews. Real-world applications process multiple requests concurrently, and thread safety is non-negotiable. Infosys will ask you about thread creation, synchronization, deadlocks, and concurrent collections. They’re not interested in theoretical knowledge—they want to know if you can write thread-safe code that doesn’t crash in production.

Thread Creation: Extending Thread vs Implementing Runnable

You must know the differences and when to use each approach. Java doesn’t support multiple inheritance, so implementing Runnable is preferred when your class needs to extend another class. This is a frequent Infosys question because it reveals whether you understand Java’s design principles.

Synchronization & Locks

Infosys will ask about synchronized blocks, synchronized methods, ReentrantLock, and ReadWriteLock. They want to know if you understand the performance implications of each. Synchronized methods lock the entire object, while synchronized blocks can lock just critical sections, reducing contention. ReentrantLock provides more control but requires explicit unlock in a finally block or try-with-resources.

Concurrent Collections

Hashtable and synchronized collections are slow because they lock the entire object. Modern Java provides ConcurrentHashMap, CopyOnWriteArrayList, and ConcurrentLinkedQueue for high-concurrency scenarios. Infosys loves asking why you’d choose ConcurrentHashMap over Hashtable—the answer reveals if you understand scalability.

Database & SQL Interview Questions

Infosys handles critical business data for banking, insurance, and retail clients. Database performance directly impacts revenue. You’ll be asked about SQL optimization, indexing strategies, transaction isolation levels, and how to prevent N+1 query problems. Understanding JDBC vs JPA/Hibernate is essential.

SQL Query Optimization

Infosys expects you to write and optimize SQL queries. Know how to use EXPLAIN to analyze query plans, understand indexes, and avoid full table scans. A slow query can timeout and impact the entire application.

Transaction Isolation Levels

You must understand READ_UNCOMMITTED, READ_COMMITTED, REPEATABLE_READ, and SERIALIZABLE. Each has different concurrency vs consistency tradeoffs. Most applications use READ_COMMITTED by default, but you need to know when stronger isolation is necessary.

Spring Framework & Spring Boot Questions

Infosys primarily builds microservices using Spring Boot. You’ll be asked about dependency injection, bean lifecycle, aspect-oriented programming, and Spring Data JPA. This is where you demonstrate that you can build production-grade applications, not just write Java code.

Top 10 Infosys Java Interview Questions & Answers

Question 1: Why is String Immutable in Java?

Answer: String is immutable for security, performance, and thread safety reasons. Because Strings are immutable, they can be safely shared across threads without synchronization. Additionally, the JVM maintains a String pool to save memory—if Strings were mutable, modifying one String in the pool would affect all references to it. From a security perspective, immutability prevents malicious code from changing passwords or sensitive data stored as Strings.

Follow-up: “How do you create a truly immutable class?” Answer: Make the class final, keep all fields private and final, initialize them in the constructor, and never provide setter methods. If the class contains mutable objects (like ArrayList), return defensive copies in getters.

Question 2: What’s the Difference Between HashMap and Hashtable?

Answer: Hashtable is synchronized (thread-safe) while HashMap is not. However, Hashtable is slower in single-threaded scenarios because synchronization has overhead. In multi-threaded applications, using HashMap with external synchronization or ConcurrentHashMap (which uses bucket-level locking) is faster than Hashtable. Hashtable doesn’t allow null keys or values, while HashMap allows one null key and multiple null values. Hashtable is legacy; ConcurrentHashMap is the modern choice for concurrent access.

Interview tip: Demonstrate knowledge that ConcurrentHashMap is superior: it segments the map into buckets, allowing concurrent access to different buckets without locking the entire map. This makes it 10-50x faster than Hashtable in high-concurrency scenarios.

Question 3: Synchronized Block vs ReentrantLock – Which is Better?

Answer: Synchronized blocks are simpler and automatically handle lock release even if an exception occurs. ReentrantLock provides more control: you can attempt to acquire a lock with timeout, check if lock is held, and differentiate between read and write locks (ReadWriteLock). However, ReentrantLock requires explicit unlock in a finally block, which is error-prone. Modern Java (7+) syntax with try-with-resources makes ReentrantLock safer.

Use synchronized for simple, short critical sections. Use ReentrantLock when you need timeout capability or fine-grained control. For read-heavy workloads, use ReadWriteLock where multiple threads can read simultaneously but exclusive access is needed for writes.

Question 4: Interface vs Abstract Class – When to Use Each?

Answer: Abstract classes define shared implementation (instance variables, constructors, concrete methods) among related classes. Interfaces define contracts that unrelated classes can implement. After Java 8, interfaces can have default and static methods, blurring the line slightly. However, abstract classes still own constructor logic and protected/private members, while interfaces cannot.

Rule: Use abstract classes for “IS-A” relationships (Employee extends Person). Use interfaces for “CAN-DO” capabilities (Vehicle can implement Movable). If you’re forced to ask “should I use an interface or abstract class?”, probably use an interface—it’s more flexible for future changes.

Question 5: Checked Exceptions vs Unchecked Exceptions – Which Should You Use?

Answer: Checked exceptions (extending Exception) force calling code to handle or declare them. Unchecked exceptions (extending RuntimeException) don’t require explicit handling. Checked exceptions are useful for recoverable errors (FileNotFoundException—you can try another file). Unchecked exceptions are for programming errors (NullPointerException, ArrayIndexOutOfBoundsException) that code shouldn’t try to catch.

Modern practice: Most frameworks (Spring, Hibernate) use unchecked exceptions for data access to avoid forcing try-catch blocks everywhere. However, domain-specific exceptions (InsufficientFundsException for banking) might be checked if callers must explicitly handle them.

Question 6: What is the N+1 Query Problem and How Do You Solve It?

Answer: The N+1 query problem occurs when loading N parent objects triggers N additional queries to load child objects. For example, loading 100 orders triggers 1 query for orders and 100 queries for items in each order—101 queries total. This causes severe performance degradation.

Solutions: Use JOIN queries to fetch both parent and child in one query. With JPA, use @Transactional(readOnly=true) with FETCH JOIN. With Hibernate, eager load relationships using @Fetch(FetchMode.JOIN). For microservices, fetch orders and item IDs separately, then fetch items in parallel using Spring’s parallel streams or CompletableFuture.

Question 7: Explain Spring Bean Lifecycle

Answer: Spring bean lifecycle has these phases: (1) Instantiation—constructor called; (2) Property injection—setter methods or @Autowired called; (3) aware interfaces—BeanNameAware, ApplicationContextAware methods invoked; (4) @PostConstruct—initialization methods called; (5) Ready for use; (6) @PreDestroy—cleanup methods called on shutdown; (7) Destruction.

You can hook into this lifecycle using InitializingBean, DisposableBean interfaces or @PostConstruct/@PreDestroy annotations. Understanding this lifecycle is crucial for proper resource management (database connections, thread pools, cache initialization).

Question 8: How Do You Detect and Prevent Deadlocks?

Answer: A deadlock occurs when two threads wait for locks held by each other. Thread A holds lock1 and waits for lock2. Thread B holds lock2 and waits for lock1. They’re stuck forever.

Prevention strategies: (1) Always acquire locks in the same order across all threads; (2) Use timeout—thread.join(timeout) or lock.tryLock(timeout); (3) Avoid nested locks; (4) Use ReentrantLock.tryLock() with timeout instead of synchronized blocks. Detection: use JVM’s jstack tool to generate thread dump and identify waiting threads, or programmatically use ThreadMXBean to get deadlocked threads.

Question 9: How Does Garbage Collection Work? What Are GC Pauses?

Answer: Garbage collection automatically frees memory by identifying and deleting unreachable objects. The JVM runs the garbage collector (G1GC, ZGC, or CMS by default) periodically. During GC, the application pauses while the collector marks reachable objects and sweeps unreachable ones. These pauses can be 100ms to several seconds for large heaps, causing latency spikes.

For interviews: Mention that you understand GC impacts latency, not just throughput. High-frequency trading systems use ZGC (low-latency collector). For standard web applications, G1GC is usually fine. You can monitor GC with -XX:+PrintGCDetails flag and analyze GC logs to optimize heap size and collector choice.

Question 10: What is Dependency Injection and Why Is It Important?

Answer: Dependency injection is a design pattern where objects don’t create their dependencies but receive them from external sources (the container). Instead of OrderService creating its own DatabaseConnection, Spring injects the connection. Benefits: loose coupling (easy to swap implementations), testability (inject mock dependencies), and maintainability.

In Spring: Use @Autowired for field injection (convenient but not testable), constructor injection (best practice—dependencies are final and cannot be null), or setter injection (flexible but optional dependencies can cause NPE). Infosys prefers constructor injection because it clearly shows required dependencies.

Code Examples with Explanations

Example 1: Creating an Immutable Class

public final class ImmutableUser {
    private final String name;
    private final int age;
    private final List<String> roles;

    public ImmutableUser(String name, int age, List<String> roles) {
        this.name = name;
        this.age = age;
        // Defensive copy to prevent external modification
        this.roles = new ArrayList<>(roles);
    }

    public String getName() { return name; }
    public int getAge() { return age; }
    
    public List<String> getRoles() {
        // Return immutable copy, not the internal list
        return Collections.unmodifiableList(roles);
    }
}

// Usage
List<String> userRoles = new ArrayList<>(Arrays.asList("ADMIN", "USER"));
ImmutableUser user = new ImmutableUser("Sudip", 28, userRoles);
userRoles.add("SUPER_ADMIN"); // Doesn't affect user object
List<String> roles = user.getRoles();
// roles.add("MODERATOR"); // Throws UnsupportedOperationException

Why this matters: Immutability guarantees thread safety without synchronization. In Infosys microservices handling millions of concurrent requests, immutable objects eliminate entire classes of concurrency bugs. The defensive copy in the constructor and the unmodifiableList in the getter ensure that external code cannot modify the object’s state.

Example 2: Deadlock and How to Prevent It

// DANGEROUS: This code will deadlock
public class BankAccount {
    private Object lock = new Object();
    private double balance = 1000;

    public void transfer(BankAccount toAccount, double amount) {
        synchronized(lock) {  // Thread 1 acquires lock1
            System.out.println(Thread.currentThread().getName() + " locked from account");
            try { Thread.sleep(100); } catch(InterruptedException e) {}
            
            synchronized(toAccount.lock) {  // Thread 1 waits for lock2
                this.balance -= amount;
                toAccount.balance += amount;
            }
        }
    }
}

// SOLUTION: Always acquire locks in the same order
public class SafeBankAccount {
    private final Object lock = new Object();
    private double balance = 1000;

    public void transfer(SafeBankAccount toAccount, double amount) {
        // Always lock in ID order to prevent circular waiting
        SafeBankAccount first = this.hashCode() < toAccount.hashCode() ? this : toAccount;
        SafeBankAccount second = first == this ? toAccount : this;

        synchronized(first.lock) {
            synchronized(second.lock) {
                this.balance -= amount;
                toAccount.balance += amount;
                System.out.println("Transfer successful");
            }
        }
    }
}

// Alternative: Use ReentrantLock with timeout
public class TimeoutBankAccount {
    private final ReentrantLock lock = new ReentrantLock();
    private double balance = 1000;

    public boolean transfer(TimeoutBankAccount toAccount, double amount) throws InterruptedException {
        if(!this.lock.tryLock(1, TimeUnit.SECONDS)) {
            System.out.println("Could not acquire lock");
            return false;
        }
        try {
            if(!toAccount.lock.tryLock(1, TimeUnit.SECONDS)) {
                return false;
            }
            try {
                this.balance -= amount;
                toAccount.balance += amount;
                return true;
            } finally {
                toAccount.lock.unlock();
            }
        } finally {
            this.lock.unlock();
        }
    }
}

Time complexity: Deadlock prevention using consistent lock ordering is O(1) extra overhead. Using timeout adds minimal performance cost. In Infosys interviews, explain that you choose the safest approach for critical financial operations.

Example 3: Solving N+1 Query Problem with FETCH JOIN

// PROBLEM: N+1 query issue
@Entity
public class Order {
    @Id private Long orderId;
    @OneToMany(fetch = FetchType.LAZY) // Default is LAZY
    private List<OrderItem> items;
}

// Repository with N+1 problem
@Repository
public interface OrderRepository extends JpaRepository<Order, Long> {
    List<Order> findAll(); // 1 query returns 100 orders
    // Then accessing items = 100 more queries (N+1 problem)
}

// SOLUTION 1: FETCH JOIN in JPQL
@Repository
public interface OrderRepository extends JpaRepository<Order, Long> {
    @Query("SELECT DISTINCT o FROM Order o LEFT JOIN FETCH o.items")
    List<Order> findAllWithItems(); // Single query with JOIN
}

// SOLUTION 2: Using @EntityGraph
@Repository
public interface OrderRepository extends JpaRepository<Order, Long> {
    @EntityGraph(attributePaths = {"items"})
    List<Order> findAll();
}

// SOLUTION 3: Stream processing for large datasets
@Repository
public interface OrderRepository extends JpaRepository<Order, Long> {
    @Query("SELECT o FROM Order o")
    Stream<Order> streamAllOrders();
}

public class OrderService {
    @Autowired private OrderRepository repository;

    public void processOrders() {
        try(Stream<Order> stream = repository.streamAllOrders()) {
            stream.forEach(order -> {
                // Process orders in batches without loading all in memory
                order.getItems().stream()
                    .forEach(item -> processItem(item));
            });
        }
    }
}

Performance impact: N+1 problem with 1000 orders = 1001 queries (several seconds). FETCH JOIN solution = 1 query (milliseconds). This is why Infosys cares about this topic—it directly impacts SLA (service level agreement) compliance for banking and insurance applications.

Common Mistakes to Avoid

• Not understanding thread safety: Many developers memorize “use ConcurrentHashMap” without understanding why. In Infosys interviews, explain that ConcurrentHashMap uses bucket-level locking instead of object-level locking, allowing concurrent access. Avoid saying “it’s faster”—explain the mechanism.
• Misunderstanding exception handling: Never catch Exception and do nothing (empty catch block). This hides production bugs. Always log the exception: logger.error(“Failed to process order”, e); Then decide whether to rethrow or handle gracefully based on context.
• Using checked exceptions incorrectly: Don’t throw checked exceptions from utility methods that callers shouldn’t catch. For example, JSON parsing should throw unchecked JsonParseException, not checked exceptions. Let frameworks handle exception wrapping.
• Not closing resources: JDBC connections, file streams, and HTTP clients must be closed. Use try-with-resources (Java 7+) which automatically closes AutoCloseable resources. Not closing connections causes “connection pool exhausted” errors in production.
• Ignoring garbage collection impacts: Don’t assume “the GC will handle it.” Large objects cause long GC pauses. If you’re allocating 1MB objects in a loop, the GC will eventually pause the application for seconds. Use object pools or preallocate buffers for high-throughput systems.
• Field injection with @Autowired: Field injection looks convenient (@Autowired private OrderService orderService) but makes unit testing difficult—you can’t inject mocks without reflection. Always use constructor injection in production code.
• Not handling null values: Before Java 8, null pointer exceptions were the #1 cause of production outages. Use Optional<T> for potentially null values, and null-checks at API boundaries. In Infosys systems processing banking data, a single null crash affects thousands of customers.
• Over-engineering with design patterns: Don’t use Singleton, Factory, and Observer patterns on every class. This isn’t a design patterns showcase—it’s a job interview. Use patterns only when the problem genuinely requires them. Infosys prefers simple, readable code over architecturally complex code.
• Not measuring performance: Don’t claim an optimization “makes it faster.” Show metrics: measure time before and after using System.nanoTime() or JMH benchmarks. “This reduces query time from 5000ms to 50ms” is infinitely more credible than “this is faster.”
• Assuming database caching is free: Caching adds complexity: cache invalidation, stale data, and distributed cache issues. Only cache when measurements show it reduces database load significantly. Most N+1 problems should be solved with queries, not caching.

Best Practices for Infosys Interviews

1. Start with requirements clarification: When asked to implement something, ask questions first. “Should this handle concurrent access?” “What’s the expected data volume?” This shows you think about production constraints, not just code correctness.
2. Write code that compiles and runs: Don’t write pseudo-code. In Infosys online assessments, your code is tested by automated judge systems. It must compile and pass test cases. Practice on HackerRank or LeetCode with correct syntax.
3. Explain trade-offs explicitly: “HashMap is faster than TreeMap (O(1) vs O(log n)) but doesn’t maintain order. For this use case, HashMap is appropriate.” This shows architectural thinking, not just algorithmic knowledge.
4. Use examples from your experience: “In my previous project at [company], we had an N+1 query problem affecting dashboard load time. We solved it using FETCH JOIN and reduced query time by 80%.” Specific examples are more convincing than generic knowledge.
5. Demonstrate knowledge of Java 8+ features: Infosys uses modern Java (11, 17, 21 LTS versions). Know Stream API, lambda expressions, Optional, and functional interfaces. Saying “I prefer the old style” will hurt your chances.
6. Show knowledge of Spring Boot ecosystem: You don’t need to memorize every annotation, but know Spring Data JPA, Spring Cloud, and Spring Security broadly. For microservices roles, understanding circuit breakers (Hystrix/Resilience4j) and distributed tracing (Sleuth) is valuable.
7. Discuss monitoring and debugging: Production systems break. Know how to use VisualVM, JProfiler, or async-profiler to find bottlenecks. Know how to read thread dumps and heap dumps. This separates junior from mid-level developers.
8. Ask thoughtful follow-up questions: If asked about HashMap, follow up: “Should we consider thread safety for this use case?” This shows you think beyond the immediate question.
9. Time yourself practicing: Infosys coding rounds are timed (typically 90-120 minutes for 3-4 problems). Practice writing correct code within time limits. Don’t spend 30 minutes architecting a solution—start coding and refactor as needed.
10. Verify your understanding of Spring annotations: Know the difference between @Component, @Service, @Repository, and @Controller. Know when to use @Bean vs class-level annotations. These seem small but are frequently asked.

Final Recommendations

Preparing for Infosys Java developer interview questions requires a systematic approach. Rather than trying to memorize answers, understand the why behind each concept. Why is String immutable? Why use ConcurrentHashMap? Why is N+1 a problem? Interviewers value reasoning over memorization.

Recommended preparation timeline: If you have 8 weeks, spend weeks 1-2 on core Java, weeks 3-5 on multithreading and Spring, weeks 6-7 on databases and SQL, and week 8 on mock interviews and problem solving. Practice at least one mock interview with a friend or on websites like Pramp before your actual Infosys interview.

Remember, Infosys Java developer interview questions are designed to identify developers who understand not just Java syntax, but production-grade software engineering. They care about code that is thread-safe, performant, maintainable, and testable. Focus on these qualities throughout your preparation.

If you’re preparing for interviews with TCS, Wipro, or startups, many of these concepts apply there too. However, TCS tends to ask more questions about legacy systems, Wipro emphasizes REST API design, and startups often focus on algorithm optimization. Tailor your preparation based on the company’s tech stack and business domain.

Want structured guidance for your interview prep? Consider joining our premium interview coaching program where you’ll get mock interviews, personalized feedback, and access to an exclusive database of 500+ questions asked at Infosys, TCS, Wipro, and other major companies in 2024-2026.

Frequently Asked Questions

Q: How many rounds does Infosys have for Java developer positions?

A: Typical Infosys interview has 3-4 rounds: (1) Online coding assessment (1-2 hours, 3-4 programming problems), (2) Technical phone interview (45 minutes, Java fundamentals and design), (3) Manager round (30 minutes, behavioral and fit assessment), (4) HR discussion (15 minutes, offer details). Rounds 2-3 sometimes combine into a single technical interview. Passing the online assessment is critical—many candidates fail there and never reach phone interviews.

Q: What’s the difficulty level of Infosys coding problems compared to LeetCode?

A: Infosys problems are typically LeetCode Medium level or slightly easier. They expect correct, working code, not optimal algorithmic solutions. For example, “reverse a string without using built-in functions,” “find duplicates in an array,” or “implement a simple LRU cache.” The focus is clean code and problem-solving approach, not fancy algorithms. However, optimization matters—don’t write O(n²) when O(n) is possible.

Q: Is it better to use Spring Boot annotations or XML configuration in interviews?

A: Always prefer annotations (@Component, @Autowired, @EnableAutoConfiguration) over XML configuration. This is modern Java practice and what Infosys uses in production. XML configuration is legacy. Know that annotations are processed at compile-time (reduces startup overhead) and improve readability. If asked about XML, mention you understand it for legacy systems but prefer annotation-based configuration for new projects.

Q: How should I answer “What’s the maximum size of a Java array?”

A: The theoretical maximum is 2³¹ – 1 (Integer.MAX_VALUE) since array indices are ints. However, practically, you’re limited by heap memory. A 1GB heap can’t store an array of 1 billion integers (4GB needed). Mention both the theoretical limit and practical constraints. In Infosys systems, we rarely encounter actual array size limits—we use collections or databases instead.

Q: Should I memorize all Spring annotations or learn concepts?

A: Learn concepts first, memorize annotations second. Understand dependency injection, bean lifecycle, and AOP principles. Then, annotations like @Autowired, @PostConstruct, @Transactional become obvious. If you only memorize annotations, you’ll struggle when asked “why would you use @Lazy?” or “when should you avoid @Transactional on read operations?” Infosys prefers conceptual understanding.

Q: Can I use ChatGPT or Copilot to write code during the interview?

A: Absolutely not. Infosys coding assessments explicitly prohibit external tools. Moreover, phone interviews watch you type in real-time (some use pair programming tools). AI-generated code often has subtle bugs that interviewers will catch. You must code from memory and explain your logic. If you need to verify syntax, ask—”Can I check if the method signature is correct?” is acceptable in some interviews.

Q: How important is database knowledge for Java developer roles?

A: Very important. Most Java developers spend 50% of time writing database queries and optimizations. Infosys expects you to understand SQL, indexing, query optimization, and JPA/Hibernate. If you can’t write efficient SQL or understand why N+1 is bad, you’re not a strong backend developer. Practice SQL on LeetCode database section and understand EXPLAIN output.

Q: What if I don’t know the answer to a question in the interview?

A: Be honest. Say “I’m not certain, but my understanding is…” and explain your reasoning. Then ask “Could you clarify?” or “Have I understood correctly?” Interviewers appreciate confidence backed by reasoning more than wrong confident answers. If you truly don’t know, briefly admit it and move on—don’t fabricate knowledge, as follow-up questions will expose it. However, prepare thoroughly so you rarely face this situation.

Q: Does Infosys prefer certain companies’ past employees?

A: No, Infosys hires based on merit regardless of previous employer. However, experience at FAANG companies or other reputable tech companies can be a plus because interviewers assume you’ve been exposed to high-quality codebases. More importantly, demonstrate that you’ve learned production-grade engineering practices—whether from your previous company or self-study. Knowledge matters more than brand name.

Q: How quickly do Infosys interviewers expect you to solve problems?

A: In a 90-minute online assessment with 3 problems, aim to complete each in 20-25 minutes, leaving buffer time for testing and fixes. In phone interviews, they often give 15-20 minutes for a smaller problem. The pace is faster than you might expect. Practice time management on LeetCode with a timer. Code quickly, test mentally before running, and refactor only if there’s obvious inefficiency.

Q: Should I mention my GitHub projects or contributions?

A: Yes, if they’re relevant and well-implemented. “I built a real-time notification system using Spring Boot and WebSockets” is impressive. “I contributed to an open-source project fixing bugs” shows community involvement. However, don’t mention projects you can’t discuss in detail. Prepare a 2-minute explanation of your best project including technical challenges and how you solved them. Link your GitHub profile in your resume.