Home/Blog/Cloud Computing/AWS Lambda interview questions: What to expect and how to prepare
AWS Lambda interview questions
Home/Blog/Cloud Computing/AWS Lambda interview questions: What to expect and how to prepare

AWS Lambda interview questions: What to expect and how to prepare

6 min read
Apr 18, 2025
content
Why companies test AWS Lambda knowledge
Categories of AWS Lambda interview questions
1. Fundamentals
2. Event triggers and integrations
3. Architecture and system design
4. Performance and optimization
5. Security and IAM
6. Monitoring and observability
7. Deployment and versioning
Sample AWS Lambda interview questions (with tips)
Q1: What are cold starts in AWS Lambda, and how can you reduce them?
Q2: How would you build a real-time image processing pipeline using AWS Lambda?
Q3: What are some limitations of AWS Lambda?
Q4: How do you debug errors in Lambda functions?
How to prepare for AWS Lambda interview questions
Advanced scaling scenarios
Working with Step Functions
Debugging distributed serverless systems
Real-world architecture scenarios
Behavioral questions related to Lambda
Final thoughts

AWS Lambda is one of the most in-demand serverless technologies today—and it often plays a central role in technical interviews for cloud and backend roles. If you're preparing for interviews involving Lambda, understanding the most common AWS Lambda interview questions can give you a serious edge.

In this blog, we'll break down the key areas interviewers love to test, provide sample questions, and show you how to prepare effectively.

Why companies test AWS Lambda knowledge#

More and more companies are building serverless applications due to cost efficiency, scalability, and minimal infrastructure overhead. Lambda is at the heart of this trend.

Interviewers test AWS Lambda knowledge to assess:

  • Your ability to design scalable, event-driven applications

  • How well you understand serverless constraints and trade-offs

  • Your familiarity with AWS integrations like API Gateway, S3, DynamoDB, and EventBridge

Demonstrating this knowledge shows that you can build reliable, cost-effective, and maintainable cloud-native systems.

Categories of AWS Lambda interview questions#

AWS Lambda interview questions typically fall into these categories:

1. Fundamentals#

These questions test your basic understanding of Lambda’s role in AWS:

  • What is AWS Lambda?

  • How is Lambda different from EC2 or ECS?

  • What languages does AWS Lambda support?

  • What are the advantages of using serverless over traditional compute services?

2. Event triggers and integrations#

Here, interviewers want to see how well you know Lambda’s ecosystem:

  • What are common services that can trigger a Lambda function?

  • How would you trigger a Lambda on S3 file upload?

  • Can one Lambda function have multiple event sources?

  • How do you process events from Amazon Kinesis or DynamoDB streams?

3. Architecture and system design#

These questions focus on how you use Lambda to design scalable systems:

  • How would you build a serverless REST API with Lambda?

  • What are some common design patterns in serverless applications?

  • How do you manage concurrency and scale in Lambda-based systems?

  • When should you avoid using Lambda in favor of other AWS services?

4. Performance and optimization#

Expect questions about maximizing efficiency and reducing latency:

  • How do you reduce cold start latency in AWS Lambda?

  • What is provisioned concurrency?

  • How does Lambda handle memory and CPU allocation?

  • What’s the impact of packaging size on cold starts?

5. Security and IAM#

Security is a priority in production environments:

  • How does IAM work with AWS Lambda?

  • What are best practices for securing Lambda functions?

  • How do you handle secrets in a Lambda environment?

  • How do you limit over-permissive IAM roles and enforce least privilege?

6. Monitoring and observability#

These questions test your ability to monitor and troubleshoot:

  • How can you monitor AWS Lambda functions?

  • What are the limitations of CloudWatch Logs?

  • How do you use AWS X-Ray with Lambda?

  • How do you trace and debug performance issues across microservices?

7. Deployment and versioning#

Interviewers want to know how you manage lifecycle and release processes:

  • What is the difference between versions and aliases in Lambda?

  • How do you deploy Lambda functions using the AWS CLI or SAM?

  • What is the role of environment variables in Lambda?

  • How do you roll back a bad deployment in production?

Sample AWS Lambda interview questions (with tips)#

Q1: What are cold starts in AWS Lambda, and how can you reduce them?#

Tip: Explain what happens during a cold start, how it's triggered by infrequent invocation, and how provisioned concurrency or keeping functions warm can help. Discuss the trade-off between cost and performance.

Q2: How would you build a real-time image processing pipeline using AWS Lambda?#

Tip: Describe an architecture using S3 (for uploads), Lambda (for processing), Step Functions (for orchestration), and optionally, SNS or SQS for notifications and buffering.

Q3: What are some limitations of AWS Lambda?#

Tip: Mention timeouts (max 15 minutes), package size limits, ephemeral storage, VPC cold starts, concurrency limits, and lack of GPU support. Discuss mitigation strategies.

Q4: How do you debug errors in Lambda functions?#

Tip: Talk about CloudWatch Logs, using structured logging for easier parsing, enabling detailed monitoring, and leveraging AWS X-Ray to trace request paths and identify bottlenecks.

How to prepare for AWS Lambda interview questions#

To stand out in Lambda-heavy interviews:

  • Build real projects: Create a REST API, event-driven automation, or data processing system using Lambda.

  • Study system design: Practice whiteboarding scenarios where Lambda is part of a larger microservices architecture.

  • Practice with AWS Console and CLI: Get hands-on deploying, testing, and debugging Lambda functions.

  • Review logs and errors: Analyze performance data and learn to interpret CloudWatch logs.

  • Explore edge cases: Think through retry behavior, DLQs (Dead Letter Queues), and throttling.

Advanced scaling scenarios#

Some interviews dig into scaling challenges. Be prepared to discuss:

  • How AWS handles burst traffic with Lambda’s reserved and unreserved concurrency pools

  • Ways to design idempotent functions to safely handle retries from asynchronous invocations

  • Scaling patterns with queues (e.g., SQS → Lambda) to throttle processing and manage backpressure

  • Best practices for implementing retries, DLQs, and rate-limiting for Lambda consumers

Working with Step Functions#

You may be asked how to coordinate multiple Lambdas into workflows. Understand:

  • What AWS Step Functions are and when to use them (e.g., orchestration over microservices)

  • Common patterns like fan-out/fan-in, sequential execution, retries, and error handling

  • How to design long-running workflows using Step Functions and Lambda (e.g., approvals, polling loops)

  • When to choose Step Functions vs. a simpler pub/sub system like SNS

Debugging distributed serverless systems#

Interviewers may test your ability to debug serverless architectures. Focus on:

  • Using AWS X-Ray for end-to-end tracing across Lambda, API Gateway, and other services

  • Structuring logs with consistent formats and correlation IDs for multi-service observability

  • Isolating issues across multiple event sources or chained Lambda calls with diagnostic context

  • Understanding the implications of retries, asynchronous errors, and partial failures in distributed systems

Real-world architecture scenarios#

You might be given real-life scenarios to whiteboard. Be ready to:

  • Design a serverless chat app backend using WebSocket API, Lambda, and DynamoDB

  • Build a cost-efficient batch processing pipeline for CSV uploads using S3 triggers and Step Functions

  • Construct a Lambda-based webhook handler that retries on failure, logs activity, and supports DLQs

  • Explain your rationale behind architectural decisions, trade-offs, and fallback strategies

In addition to technical questions, expect behavioral ones:

  • Describe a time you optimized a Lambda-based architecture. What metrics did you improve?

  • How did you deal with a sudden spike in errors from a Lambda service? What steps did you take?

  • What lessons have you learned from working with serverless apps in production? What would you do differently?

  • Have you ever encountered unexpected costs with Lambda? How did you manage or prevent it?

These help assess how you’ve applied Lambda knowledge in real-world projects and how you handle operational challenges.

Final thoughts#

Mastering AWS Lambda interview questions is about more than memorization—it's about understanding how serverless systems work in practice. By preparing across the categories above and building hands-on experience, you'll be ready to tackle even the toughest Lambda interview.

Start by revisiting projects you've built or spinning up a new one using AWS Free Tier. Focus on observability, deployment automation, and error handling. Serverless is the future—your interview success starts here!

Become an AWS Professional

Cover
Become an AWS Professional

Amazon Web Services (AWS) is the most comprehensive and widely used cloud platform in the world. AWS is used by millions of clients - including the fastest-growing startups, most prominent corporations, and top government agencies - to reduce costs, become more agile, and innovate faster. This path will lead you to develop web applications using AWS architecture and learn about linked entities like databases and networking. By the end, you'll have professional-level skills to develop AWS-based web applications confidently.

35hrs 45mins
Beginner
35 Playgrounds
47 Quizzes

Written By:
Zarish Khalid
AWS Lambda interview questions
Join 2.5 million developers at
Explore the catalog

Free Resources