Hint: Follow problem -> APIs -> design -> trade-offs order [OK]
Common Mistakes:
Starting with coding instead of design
Skipping API definition
Discussing trade-offs too early
3. During a system design interview, you propose a caching layer to improve performance. Which of the following is the most likely benefit you should mention?
medium
A. Increases database storage capacity
B. Eliminates the need for load balancers
C. Reduces database load and decreases response time
D. Automatically scales the number of servers
Solution
Step 1: Understand caching purpose in system design
Caching stores frequently accessed data closer to the user, reducing database queries and improving response time.
Step 2: Evaluate other options
Increasing storage, removing load balancers, or auto-scaling servers are unrelated to caching benefits.
Final Answer:
Reduces database load and decreases response time -> Option C
Quick Check:
Caching benefit = Reduced load and latency [OK]
Hint: Cache reduces DB hits and speeds up responses [OK]
Common Mistakes:
Confusing caching with storage increase
Thinking caching replaces load balancers
Assuming caching auto-scales servers
4. You designed a system with a single database server. During the interview, the interviewer points out a potential bottleneck. What is the most likely issue?
medium
A. Single point of failure and limited scalability
B. Too many load balancers causing delays
C. Excessive caching leading to stale data
D. Overuse of microservices causing complexity
Solution
Step 1: Analyze single database server drawbacks
A single database server can fail and cannot handle very high traffic, causing bottlenecks.
Step 2: Check other options for relevance
Load balancers, caching, and microservices issues are unrelated to having a single DB server.
Final Answer:
Single point of failure and limited scalability -> Option A
Quick Check:
Single DB = bottleneck and failure risk [OK]
Hint: Single DB risks failure and limits scale [OK]
Common Mistakes:
Blaming load balancers for DB bottleneck
Confusing caching issues with DB limits
Ignoring single point of failure risk
5. In a system design interview, after presenting your architecture, the interviewer asks you to handle sudden traffic spikes. Which approach best addresses this?
hard
A. Implement auto-scaling with load balancers to add/remove servers dynamically
B. Use a single powerful server to handle all traffic
C. Remove caching to reduce complexity
D. Store all data in a single database to simplify writes
Solution
Step 1: Understand traffic spike handling
Auto-scaling with load balancers allows the system to add or remove servers based on traffic, handling spikes efficiently.
Step 2: Evaluate other options
A single server cannot handle spikes well; removing caching or using one DB limits performance and scalability.
Final Answer:
Implement auto-scaling with load balancers to add/remove servers dynamically -> Option A