Smooth Process. All the panelists were helpful and supporting. They provide hints if you get stuck, pay maximum attention to those hints. That will help you complete the solution. Be prepared for FIT round, they ask tricky questions.

. Data Structures & Algorithms Topics to cover: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Heaps, Hash Tables, Tries. Algorithmic Techniques: Sorting, Searching, Dynamic Programming, Divide & Conquer, Greedy Algorithms, Backtracking. Complexity Analysis: Time and Space complexity (Big O notation). 2. Cloud Cloud Concepts: Cloud computing models (IaaS, PaaS, SaaS), Cloud providers (AWS, Azure, Google Cloud). Services: EC2, Lambda, S3, RDS, CloudFormation, CDK, Kubernetes. Deployment & Scalability: Autoscaling, Load balancing, Containers, Serverless architecture, CI/CD pipelines. 3. System Design Core Topics: High-level design, Low-level design, Designing scalable systems, Distributed systems, CAP theorem, Consistency, Availability, Partition tolerance. Architecture Patterns: Microservices, Monolithic, Event-driven architecture, CQRS. Tools: Databases (SQL, NoSQL), Caching (Redis, Memcached), Message Queues (Kafka, RabbitMQ). 4. Scalability Vertical vs Horizontal Scaling: When to use each approach. Load Balancing: Types (Round-robin, Weighted, etc.), Algorithms. Caching: Distributed caching systems, Strategies like cache eviction policies, Cache-aside pattern. 5. Behavioral Interview STAR Method: Situation, Task, Action, Result framework for answering questions. Leadership Qualities: Conflict resolution, Team collaboration, Problem-solving approach.