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HLDsystem_design~20 mins

API versioning strategies in HLD - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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API Versioning Master
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🧠 Conceptual
intermediate
2:00remaining
Understanding URI Versioning
Which of the following best describes the main advantage of using URI versioning for APIs?
AIt hides the API version from clients, reducing URL complexity.
BIt allows clients to specify the API version in the URL, making it easy to cache and route requests.
CIt automatically upgrades clients to the latest API version without changes.
DIt uses HTTP headers to specify the version, keeping URLs clean.
Attempts:
2 left
💡 Hint
Think about how URLs are used in web requests and caching.
Architecture
intermediate
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Choosing Header Versioning
What is a key benefit of using HTTP header versioning for APIs compared to URI versioning?
AIt prevents caching of API responses.
BIt forces clients to change URLs when switching versions.
CIt keeps the URL clean and separates versioning concerns from resource identification.
DIt makes it easier for browsers to bookmark specific API versions.
Attempts:
2 left
💡 Hint
Consider how URLs look and how headers work in HTTP.
scaling
advanced
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Scaling API with Multiple Versions
When supporting multiple API versions simultaneously, which strategy helps minimize server resource usage while maintaining backward compatibility?
AImplement a shared core logic with version-specific adapters to handle differences.
BDuplicate the entire codebase for each API version.
COnly support the latest version and reject older clients.
DUse URI versioning exclusively without shared components.
Attempts:
2 left
💡 Hint
Think about code reuse and maintenance effort.
tradeoff
advanced
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Tradeoffs of Semantic Versioning in APIs
What is a major tradeoff when adopting semantic versioning (major.minor.patch) for API versioning?
AIt forces clients to always use the latest patch version automatically.
BIt simplifies client logic by hiding version details.
CIt eliminates the need for backward compatibility.
DIt provides detailed version info but can complicate client version negotiation.
Attempts:
2 left
💡 Hint
Consider how clients decide which version to use.
estimation
expert
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Estimating Storage for API Versioning Metadata
An API service stores metadata for each version of its endpoints. If each version adds 500KB of metadata and the service supports 12 versions with 100 endpoints each, approximately how much storage is needed for all metadata?
A600 MB
B600 KB
C60 MB
D6 GB
Attempts:
2 left
💡 Hint
Calculate total metadata size by multiplying versions, endpoints, and size per endpoint.