Generated system design questions

1. Question 1: Scalable Button Click Analytics with Ad Support

You are tasked with designing a scalable system to capture and analyze button click events across your company's web application. The goal is to gather insights into user engagement and monetize the button clicks through ad support. However, the application is expected to experience rapid growth, with millions of users and billions of button click events per day.

Your system should:

• Ingest and process button click events in real-time from various sources (web, mobile apps, etc.).

• Integrate with an ad serving platform to display relevant ads based on user interactions and button clicks.

• Store and analyze historical button click data to identify usage patterns and trends.

• Ensure data integrity, fault tolerance, and high availability of the system.

• Optimize for cost-effectiveness while maintaining the desired level of performance and scalability.

Describe your proposed architecture, including the components, data pipelines, and technologies you would use to meet the requirements. Additionally, discuss how you would handle the expected scale, ensure data quality, and integrate with the ad serving platform.

2. Question 2: Privacy-Compliant Geographic Data Processing

Your company is introducing strict privacy requirements to comply with data protection regulations. As a result, you need to design a data processing pipeline that handles sensitive user data, including geographic information, while ensuring compliance with privacy laws.

Your system should:

• Ingest and process user data from various sources, including button click events and associated geographic information.

• Implement advanced techniques for anonymizing and pseudonymizing user data, including geographic data.

• Support geographic data processing operations, such as geo-fencing, proximity analysis, and location-based aggregations.

• Ensure data privacy and security throughout the data lifecycle, from ingestion to processing and storage.

• Provide auditing and logging mechanisms to monitor data access and usage.

Describe your proposed architecture, including the components, data pipelines, and technologies you would use to meet the privacy and geographic data processing requirements. Additionally, discuss how you would handle data anonymization, implement advanced geographic data processing operations, and ensure compliance with relevant data protection regulations.

3. Question 3: Button Click Analytics for Kids' Applications

Your company is developing a new application targeted at children, which includes interactive buttons. You need to design a system to capture and analyze button click events from this application while considering specific privacy and regulatory requirements for handling children's data.

Your system should:

• Ingest and process button click events from the kids' application in a secure and compliant manner.

• Implement strict access controls and data governance policies for children's data.

• Ensure data anonymization and pseudonymization techniques are applied to protect children's privacy.

• Support analysis and reporting of button click data while adhering to relevant regulations (e.g., COPPA, GDPR-K).

• Provide mechanisms for parental control and consent management.

Describe your proposed architecture, including the components, data pipelines, and technologies you would use to meet the requirements for handling children's data securely and compliantly. Additionally, discuss how you would implement access controls, data anonymization, and parental consent management mechanisms.

These questions cover various aspects of data engineering, such as scalable data ingestion and processing, ad integration, privacy compliance, geographic data handling, and handling sensitive data for specific user groups (children). They are designed to assess your ability to design robust and compliant data architectures while considering scalability, performance, security, and regulatory requirements.

• Question 4: Real-time Button Click Analytics for Video Streaming Platforms

Your company has partnered with a popular video streaming platform like Hulu to display interactive buttons during video playback. These buttons allow users to engage with additional content, purchase products, or participate in surveys. You need to design a system that can capture and analyze button click events in real-time to provide a seamless and personalized user experience.

Your system should:

• Ingest and process button click events from the video streaming platform in real-time.

• Integrate with the video streaming platform's data pipelines and APIs.

• Analyze user interactions and button clicks to provide personalized recommendations and targeted content.

• Support real-time reporting and dashboards for monitoring user engagement.

• Ensure low latency and high availability to maintain a smooth user experience.

Describe your proposed architecture, including the components, data pipelines, and technologies you would use to meet the real-time processing and integration requirements with the video streaming platform. Additionally, discuss how you would handle the expected scale, ensure low latency, and provide personalized recommendations based on user interactions.

5. Question 5: Ad Bidding Platform Integration for Button Click Monetization

Your company has decided to monetize button clicks by participating in an ad bidding platform. This platform allows advertisers to bid for ad placements based on real-time user interactions and button clicks. You need to design a system that can seamlessly integrate with the ad bidding platform and provide relevant ad content to users based on their interactions with the buttons.

Your system should:

• Ingest and process button click events in real-time.

• Integrate with the ad bidding platform's APIs and data pipelines.

• Analyze user interactions and button clicks to determine the most relevant ad content.

• Participate in real-time ad bidding auctions based on user data and button click events.

• Optimize ad placement and delivery to maximize revenue while maintaining a positive user experience.

Describe your proposed architecture, including the components, data pipelines, and technologies you would use to meet the requirements for integrating with the ad bidding platform. Additionally, discuss how you would handle real-time ad bidding, optimize ad placements, and ensure a seamless user experience while monetizing button clicks.

These additional questions cover scenarios involving real-time data processing, integration with video streaming platforms, personalized recommendations, ad bidding platforms, and real-time monetization of user interactions. They further test your ability to design scalable and responsive data architectures while considering real-time requirements, integration challenges, and revenue optimization.