
Data Analyst Interview
This interview revolves around diagnosing and measuring the impact of a feature change on a core product, proposing an experiment plan, and effectively communicating insights.
8 minutes
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Questions that have appeared at Google for an Engineering (Case Study) Interview.
1. System Design
Question: How would you design a scalable and efficient system to analyze and categorize YouTube videos?
Question: Imagine you're tasked with building a distributed cache system that can handle a large amount of data. What considerations would you take into account?
Question: How would you design a system for managing and processing large datasets in real-time?
2. Problem Solving
Question: How would you approach the problem of detecting spam emails in Gmail?
Question: If you were asked to improve the searching algorithm of Google Search, where would you start?
Question: How would you investigate a sudden drop in user engagement on the Google Play Store?
3. Data Structure and Algorithms
Question: How would you design an efficient algorithm to find the shortest path between two nodes in a large graph?
Question: Describe a situation where a hash table would be more efficient than a tree structure.
Question: Explain how you would optimize an algorithm that’s responsible for matching Google Ads with relevant user queries.
4. Cloud Computing
Question: What factors would you consider when migrating a large-scale application to the cloud?
Question: How would you ensure that a cloud-based service can handle peak loads?
Question: Discuss strategies for optimizing resource allocation in a cloud environment.
5. Project Management
Question: How would you manage a project where the requirements are continually changing?
Question: Discuss a situation where you had to balance technical debt against feature development.
Question: How would you approach the challenge of integrating a newly acquired startup's technology into the existing Google ecosystem?
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