Certainly! Here are some interview-style prompts related to real-time pipelines:

1. **Design Fraud Detection with Kinesis:**
– Imagine you are tasked with designing a real-time fraud detection system for an e-commerce platform using Amazon Kinesis. Describe how you would architect this system.
– What Kinesis services would you utilize (e.g., Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics), and why?
– How would you handle the volume and velocity of incoming data to ensure timely fraud detection?
– What strategies would you implement to develop accurate fraud detection algorithms on streaming data?
– Discuss how you would ensure the scalability and fault-tolerance of your system.
– How would you integrate this system with other AWS services like AWS Lambda, DynamoDB, or Amazon S3?

2. **Compare MSK vs Kinesis:**
– Discuss the differences between using Amazon Managed Streaming for Apache Kafka (MSK) and Amazon Kinesis for building real-time data processing applications.
– What are the primary use cases for choosing MSK over Kinesis and vice versa?
– In terms of cost, scalability, and ease of use, how do the two services compare?
– How does data processing and transformation differ between the two, and what implications does this have for system design?
– Describe a scenario where MSK might be more beneficial than Kinesis, and explain why.
– How do factors like data retention, latency, and integration capabilities influence the choice between MSK and Kinesis?

3. **Optimize Lambda for Low Latency:**
– You need to optimize an AWS Lambda function used in a real-time data processing pipeline to achieve low latency. Describe your approach.
– What are some common causes of latency in Lambda functions, and how would you address them?
– How would you optimize cold start times, and why is this important for low-latency applications?
– Discuss the role of memory and concurrency settings in reducing latency for your Lambda function.
– What best practices would you follow to ensure that your Lambda function is performing optimally in a production environment?
– How would you monitor and measure the latency of your Lambda function, and what tools or metrics would you use for this purpose?

These prompts are designed to evaluate the candidate’s knowledge of AWS services, real-time data processing, and their ability to design and optimize data pipelines effectively.