1. 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)

1. 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

1. 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)

1. 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.

1. Behavioral Interview

STAR Method:

• Situation, Task, Action, Result framework for answering questions.

Leadership Qualities:

• Conflict resolution.
• Team collaboration.
• Problem-solving approach.

Tell me about a time you faced a challenge.

Describe a project where you showed leadership skills.

How do you prioritize tasks?