amazon

AI Engineer Interview

This interview focuses on the conceptual design of AI systems, including the identification of necessary datasets, model choices, and strategies for product categorization and recommendation.

AI Engineer

8 minutes

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Questions that have appeared at amazon for an engineering (Case Study) interview.

1. System Design

Question: How would you design a distributed system to handle peak traffic during a major sales event?

Question: Describe how you would design a system to efficiently manage a large inventory of products.

Question: How would you architect a highly scalable and reliable system for streaming videos?

2. Performance Optimization

Question: How would you diagnose and resolve performance issues in a distributed system?

Question: Can you describe a time when you had to optimize a service for performance? What was the impact of your optimization?

Question: How would you approach optimizing a database query that's running slower than expected?

3. Troubleshooting and Debugging

Question: Describe a complex debugging experience you had and how you resolved it.

Question: Can you discuss a time when you faced a challenging bug and the steps you took to resolve it?

Question: How would you troubleshoot an issue where a distributed service is failing intermittently?

4. Scalability

Question: Describe how you would scale an application to handle a rapid increase in traffic.

Question: Can you share an example where you had to design a solution to handle a large scale data processing?

Question: How would you ensure the scalability of a microservices architecture?

5. Disaster Recovery

Question: Can you describe a time when you had to handle a major system outage? What steps did you take to resolve it?

Question: How would you plan for disaster recovery in a distributed system?

Question: Describe a situation where you had to implement a failover strategy for a mission-critical application.

6. Data Management

Question: How would you design a system to efficiently store and retrieve a large amount of customer data?

Question: Can you describe a time when you had to design a data pipeline for processing large volumes of data?

Question: How would you ensure data consistency across multiple services in a distributed system?

7. Security

Question: How would you design a system to ensure secure transactions for an e-commerce platform?

Question: Can you describe a time when you had to implement a security feature in a distributed system?

Question: How would you approach securing data in transit and at rest in a distributed system?

8. Monitoring and Logging

Question: How would you design a robust logging and monitoring system for a distributed application?

Question: Can you describe a time when you used logs or monitoring data to diagnose and fix a problem?

Question: How would you approach setting up alerts and metrics for a new service?

9. Deployment

Question: How would you design a system for zero-downtime deployment?

Question: Can you describe a time when you had to roll back a faulty deployment? What steps did you take to prevent similar incidents in the future?

Question: How would you approach deploying a new service in a distributed system?

10. Infrastructure

Question: How would you design the infrastructure for a highly available and scalable application?

Question: Can you share an example where you had to make a critical decision regarding infrastructure architecture?

Question: How would you design a system to handle a failure of a complete data center?

About This Interview

Interview Type

PRODUCT SENSE

Difficulty Level

4/5

Interview Tips

• Research the company thoroughly

• Practice common questions

• Prepare your STAR method responses

• Dress appropriately for the role