Introduction
To excel in FAANG product manager interviews, mastering complex and unexpected questions is paramount. This guide focuses on answering questions like “How many computers does LinkedIn have?”, using structured frameworks to enhance your analytical, problem-solving, and estimation abilities.
Detailed Guide on Framework Application
Choosing the Right Framework: The Fermi Estimation
The Fermi estimation is an optimal approach for large-scale estimations. Named after physicist Enrico Fermi, it involves making approximate calculations with limited data.
Step-by-Step Guide for Fermi Estimation
- Breakdown the Problem: Divide the question into smaller, manageable parts.
- Gather Basic Facts: Utilize known or researched data points as a foundation.
- Make Educated Assumptions: Form logical assumptions based on industry standards or related quantities.
- Perform Calculations: Compute smaller estimations to build up to the final answer.
- Review & Sanity Check: Reassess assumptions and calculations for reasonableness.
Applying the Framework: A Hypothetical Example
For LinkedIn’s computer count, consider the following:
- Each data center serves approximately 10 million users.
- 5,000 servers are required per data center for efficient operation.
- LinkedIn has hundreds of millions of users.
Estimate the number of data centers by dividing total users by users per center. Multiply by servers per center. Add additional computers for employees, development, and backup systems.
Facts Checks and Assumptions
While exact figures may not be available, insights from technology news, company disclosures, or industry benchmarks can inform your approximation. Articulate your thought process and assumptions.
Effective Communication Tips
Clearly explain each step, its purpose, and its contribution to the final answer. Be concise and allow the interviewer to follow your thought process. Convey confidence while remaining flexible to consider alternative assumptions or data points.
Conclusion
By leveraging the Fermi estimation technique, candidates can systematically tackle estimation questions with confidence. Remember to break down the question, make reasonable assumptions, perform calculations, and do a sanity check. Practice is essential to strengthen your estimation skills for FAANG interviews.