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HLDsystem_design~20 mins

REST API best practices in HLD - Practice Problems & Coding Challenges

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Challenge - 5 Problems
🎖️
REST API Mastery
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Test your skills under time pressure!
🧠 Conceptual
intermediate
2:00remaining
HTTP Methods Usage in REST APIs

Which HTTP method is the most appropriate to update a resource partially in a REST API?

AGET
BPATCH
CPUT
DDELETE
Attempts:
2 left
💡 Hint

Think about the method that allows partial updates without replacing the entire resource.

Architecture
intermediate
2:00remaining
Statelessness in REST APIs

What is the main advantage of designing a REST API to be stateless?

AIt enables the server to handle each request independently without client context.
BIt allows the server to store client session data for faster responses.
CIt requires the client to maintain a persistent connection to the server.
DIt forces the server to keep track of user authentication state.
Attempts:
2 left
💡 Hint

Consider how statelessness affects scalability and server load.

scaling
advanced
2:00remaining
Handling High Traffic in REST APIs

Which strategy best helps a REST API handle sudden spikes in traffic without degrading performance?

AUse synchronous processing for all requests to maintain order.
BStore all client sessions on the server to reduce repeated authentication.
CImplement rate limiting and caching mechanisms.
DDisable load balancers to reduce network overhead.
Attempts:
2 left
💡 Hint

Think about controlling request volume and reducing repeated work.

tradeoff
advanced
2:00remaining
Choosing Between JSON and XML for REST APIs

What is a key tradeoff when choosing JSON over XML as the data format for a REST API?

AXML supports namespaces and schema validation, JSON does not.
BJSON is more verbose but easier to parse than XML.
CJSON requires more bandwidth due to its structure.
DXML is less human-readable compared to JSON.
Attempts:
2 left
💡 Hint

Consider features related to data validation and complexity.

estimation
expert
3:00remaining
Estimating API Server Capacity

You expect 10,000 requests per minute to your REST API. Each request takes 100ms of server processing time. How many concurrent server threads are needed to handle the load without queuing?

AApproximately 10 threads
BApproximately 100 threads
CApproximately 1,000 threads
DApproximately 17 threads
Attempts:
2 left
💡 Hint

Calculate how many requests happen per second and how many can be processed simultaneously.