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When using an IoC container for Dependency Injection, what is a potential downside related to application startup time and resource usage?

medium🪤 Complexity Trap Q6 of Q15
OOP & Design Patterns - Interface Segregation & Dependency Inversion - Fat Interfaces & IoC
When using an IoC container for Dependency Injection, what is a potential downside related to application startup time and resource usage?
AThe container forces eager loading of all dependencies, causing unnecessary resource usage.
BThe container caches all dependencies indefinitely, leading to memory leaks.
CThe container eliminates all runtime overhead by precompiling dependencies.
DThe container's reflection and object graph construction can increase startup latency and memory consumption.
Step-by-Step Solution
Solution:
  1. Step 1: Understand IoC container overhead

    IoC containers often use reflection and build dependency graphs at startup, which can increase latency and memory use.
  2. Step 2: Analyze options

    The container's reflection and object graph construction can increase startup latency and memory consumption correctly identifies reflection and graph construction overhead. The container forces eager loading of all dependencies, causing unnecessary resource usage is incorrect; most containers support lazy loading. The container eliminates all runtime overhead by precompiling dependencies is false; containers do not eliminate runtime overhead entirely. The container caches all dependencies indefinitely, leading to memory leaks is incorrect; containers manage lifetimes to avoid leaks.
  3. Final Answer:

    Option D -> Option D
  4. Quick Check:

    Reflection and graph building -> startup overhead [OK]
Quick Trick: IoC reflection and graph building add startup overhead [OK]
Common Mistakes:
MISTAKES
  • Assuming eager loading always happens
  • Believing containers precompile dependencies
  • Thinking containers cause memory leaks by caching
Trap Explanation:
PITFALL
  • Candidates often confuse lazy vs eager loading or overestimate container optimizations.
Interviewer Note:
CONTEXT
  • Evaluates understanding of IoC container runtime trade-offs.
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